> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# SDK & Tools

> Release notes for the Mem0 Python SDK, TypeScript SDK, Vercel AI SDK, CLI, and editor plugins.

<Tabs>
  <Tab title="Python">
    <Update label="2026-06-27" description="v2.0.10">
      **New Features:**

      * **Client:** Expose `expiration_date` on `MemoryClient.update()` and `AsyncMemoryClient.update()`: callers can now set or clear a memory's expiration date; `None` is preserved and forwarded to the API ([#5874](https://github.com/mem0ai/mem0/pull/5874))

      **Bug Fixes:**

      * **Memory (OSS):** Apply `remove_code_blocks()` to the LangChain path in async `_create_procedural_memory` so code fences are stripped consistently ([#5711](https://github.com/mem0ai/mem0/pull/5711))
      * **Rerankers:** Score HuggingFace cross-encoder results with per-document sigmoid instead of set-relative min-max, preventing a single low-score document from collapsing all relevance scores to zero ([#5715](https://github.com/mem0ai/mem0/pull/5715))
      * **Core:** Validate and trim entity IDs (`user_id`, `agent_id`, `run_id`) in `delete_all()` for both sync and async `Memory` ([#5735](https://github.com/mem0ai/mem0/pull/5735))
      * **Vector Stores:** Use `.get()` for `hash` and `created_at` in the Redis `insert()` and `update()` paths so entity payloads that omit those fields no longer raise `KeyError` ([#5709](https://github.com/mem0ai/mem0/pull/5709))
      * **Memory:** Fix scale-threshold notices not firing for Redis and search-engine backends by resolving `col_info()` signature differences and adding `num_docs` to the count-extraction lookup ([#5687](https://github.com/mem0ai/mem0/pull/5687))
      * **Vector Stores:** Escape special characters in Valkey FT.SEARCH tag filter values to prevent wildcard and operator injection through tenant-isolation filters ([#5750](https://github.com/mem0ai/mem0/pull/5750))
    </Update>

    <Update label="2026-06-24" description="v2.0.9">
      **Bug Fixes:**

      * **Memory (OSS):** Improve entity extraction precision by avoiding sentence-start common noun noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ([#5829](https://github.com/mem0ai/mem0/pull/5829))
    </Update>

    <Update label="2026-06-24" description="v2.0.8">
      **New Features:**

      * **Embeddings:** Add native `embed_batch` to five embedders: LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI: for batched embedding requests ([#5609](https://github.com/mem0ai/mem0/pull/5609))

      **Bug Fixes:**

      * **Core:** Guard against malformed `image_url` entries in `parse_vision_messages` to prevent crashes ([#5631](https://github.com/mem0ai/mem0/pull/5631))
      * **Core:** Return `attributed_to` from `get()`, `get_all()`, and `search()` ([#5629](https://github.com/mem0ai/mem0/pull/5629))
      * **Core:** Fix `reset()` only dropping the history table and leaving stale messages behind ([#5541](https://github.com/mem0ai/mem0/pull/5541))
      * **Core:** Guard against an entity `embed_batch` count mismatch in the v3 add pipeline ([#5604](https://github.com/mem0ai/mem0/pull/5604))
      * **Core:** Fix an async `delete_all` race condition that corrupted the entity store's `linked_memory_ids` ([#5553](https://github.com/mem0ai/mem0/pull/5553))
      * **LLMs:** Skip the JSON `response_format` for Groq compound models that reject it ([#5513](https://github.com/mem0ai/mem0/pull/5513))
      * **LLMs:** Preserve reasoning fields during base-to-provider config conversion ([#5638](https://github.com/mem0ai/mem0/pull/5638))
      * **LLMs:** Pass the configured `anthropic_base_url` to the Anthropic client ([#5626](https://github.com/mem0ai/mem0/pull/5626))
      * **LLMs:** Stop the Azure provider from mutating and corrupting caller messages during content rewrite ([#5731](https://github.com/mem0ai/mem0/pull/5731))
      * **LLMs & Embeddings:** Repair HTTP proxy support for `httpx>=0.28` and preserve `proxies` in `LlmFactory` ([#5447](https://github.com/mem0ai/mem0/pull/5447))
      * **Embeddings:** Forward `embedding_dims` to Titan V2 in the AWS Bedrock embedder ([#5671](https://github.com/mem0ai/mem0/pull/5671))
      * **Rerankers:** Log reranking failures instead of swallowing them silently ([#5717](https://github.com/mem0ai/mem0/pull/5717))
      * **Rerankers:** Clamp out-of-range LLM scores instead of mis-parsing them ([#5635](https://github.com/mem0ai/mem0/pull/5635))
      * **Rerankers:** Export all five rerankers from the package root ([#5636](https://github.com/mem0ai/mem0/pull/5636))
      * **Vector Stores:** Point the FastEmbed-missing warning at `mem0ai[extras]` ([#5622](https://github.com/mem0ai/mem0/pull/5622))
      * **Vector Stores:** Preserve empty Azure AI Search update values ([#5524](https://github.com/mem0ai/mem0/pull/5524))
      * **Vector Stores:** Add an `auto_refresh` option for OpenSearch Serverless compatibility ([#3893](https://github.com/mem0ai/mem0/pull/3893))
      * **Vector Stores:** Wrap a scalar `vector_id` in a list for Chroma `delete()` ([#5703](https://github.com/mem0ai/mem0/pull/5703))
      * **Vector Stores:** Wrap Chroma `update()` ids, embeddings, and metadatas in lists ([#5757](https://github.com/mem0ai/mem0/pull/5757))
      * **Vector Stores:** Wrap a scalar `vector_id` in a list for Milvus `delete()` ([#5704](https://github.com/mem0ai/mem0/pull/5704))
      * **Vector Stores:** Map all comparison operators in the Pinecone `_create_filter()` ([#5707](https://github.com/mem0ai/mem0/pull/5707))
      * **Vector Stores:** Return `None` instead of `{}` from Chroma `_generate_where_clause` for empty filters ([#5713](https://github.com/mem0ai/mem0/pull/5713))
      * **Vector Stores:** Return `[[]]` from the OpenSearch `list()` error path to honor the `list()` contract ([#5727](https://github.com/mem0ai/mem0/pull/5727))
      * **Vector Stores:** Return `[[]]` from the Pinecone `list()` error path instead of a dict ([#5706](https://github.com/mem0ai/mem0/pull/5706))
      * **Vector Stores:** Return `[[]]` for an uninitialized FAISS index to honor the `list()` contract ([#5725](https://github.com/mem0ai/mem0/pull/5725))
      * **Vector Stores:** Wrap the MongoDB `list()` return in an outer list to match the interface contract ([#5729](https://github.com/mem0ai/mem0/pull/5729))
      * **Vector Stores:** Deep-copy Redis `DEFAULT_FIELDS` so instances keep distinct dims ([#5633](https://github.com/mem0ai/mem0/pull/5633))
      * **Vector Stores:** Pass the required `vectors` arg in Vertex AI `list()` and similarity search ([#5627](https://github.com/mem0ai/mem0/pull/5627))
      * **Vector Stores:** Return `None` from Redis `get()` for missing IDs ([#5625](https://github.com/mem0ai/mem0/pull/5625))
      * **Vector Stores:** Drop a stray `print` in Weaviate `list_cols` ([#5637](https://github.com/mem0ai/mem0/pull/5637))
      * **Graph:** Keep distinct entities that share a substring prefix ([#5630](https://github.com/mem0ai/mem0/pull/5630))
      * **Client:** Check the HTTP status before parsing the ping response in `_validate_api_key` ([#5639](https://github.com/mem0ai/mem0/pull/5639))
      * **Server:** Fetch filtered dashboard memories beyond the default page ([#5753](https://github.com/mem0ai/mem0/pull/5753))
      * **Server:** Return 404/400 instead of 502 for not-found and invalid input ([#5634](https://github.com/mem0ai/mem0/pull/5634))
      * **Server:** Return 404 instead of 500 for a malformed API key id on revoke ([#5640](https://github.com/mem0ai/mem0/pull/5640))
      * **Server:** Use `127.0.0.1` in the dashboard healthcheck to avoid IPv6 localhost resolution ([#5612](https://github.com/mem0ai/mem0/pull/5612))

      **Improvements:**

      * **Vector Stores:** Batch BM25 sparse encoding in Qdrant insert ([#5592](https://github.com/mem0ai/mem0/pull/5592))

      **Security:**

      * **Vector Stores:** Sanitize Milvus and Baidu filter values to prevent expression injection ([#5746](https://github.com/mem0ai/mem0/pull/5746))
      * **Vector Stores:** Reject dict filter values in MongoDB to prevent NoSQL operator injection ([#5748](https://github.com/mem0ai/mem0/pull/5748))
    </Update>

    <Update label="2026-06-17" description="v2.0.7">
      **New Features:**

      * **LLMs:** Add Gemini via Vertex AI as LLM provider ([#4030](https://github.com/mem0ai/mem0/pull/4030))
      * **Embeddings:** Add native `embed_batch` to `OllamaEmbedding` for batched embedding requests ([#5415](https://github.com/mem0ai/mem0/pull/5415))

      **Bug Fixes:**

      * **Core:** Fix `api_error_handler` silently dropping return values from async methods ([#5540](https://github.com/mem0ai/mem0/pull/5540))
      * **Core:** Fix `AsyncMemory.reset()` not resetting the entity store ([#5535](https://github.com/mem0ai/mem0/pull/5535))
      * **Core:** Fix `async delete_all` aborting on first error, leaving partial deletion ([#5529](https://github.com/mem0ai/mem0/pull/5529))
      * **Core:** Skip messages without a `content` key in message parsers to prevent `KeyError` crashes ([#5575](https://github.com/mem0ai/mem0/pull/5575))
      * **Core:** Preserve custom metadata fields during memory update ([#5480](https://github.com/mem0ai/mem0/pull/5480))
      * **LLMs:** Fix Anthropic `tool_choice` format and tool response parsing ([#5537](https://github.com/mem0ai/mem0/pull/5537))
      * **LLMs:** Fix Ollama `json` format mutating the caller's messages list in-place ([#5539](https://github.com/mem0ai/mem0/pull/5539))
      * **LLMs:** Omit `None` config values from Gemini `GenerateContentConfig` to prevent validation errors ([#5528](https://github.com/mem0ai/mem0/pull/5528))
      * **LLMs:** Honor reasoning-model params in `AzureOpenAIStructuredLLM` ([#5548](https://github.com/mem0ai/mem0/pull/5548))
      * **LLMs:** Honor reasoning-model params in `OpenAIStructuredLLM` ([#5458](https://github.com/mem0ai/mem0/pull/5458))
      * **LLMs:** Send `max_completion_tokens` for the GPT-5 family across all providers ([#5547](https://github.com/mem0ai/mem0/pull/5547))
      * **LLMs:** Accept and forward `**kwargs` in Together, LangChain, and Sarvam providers ([#5556](https://github.com/mem0ai/mem0/pull/5556))
      * **LLMs:** Fix Bedrock AI21 response parse default using `dict` literal instead of `set` ([#5527](https://github.com/mem0ai/mem0/pull/5527))
      * **LLMs:** Fix LiteLLM function-calling check blocking all calls on non-tool models ([#5536](https://github.com/mem0ai/mem0/pull/5536))
      * **LLMs:** Fix HuggingFace provider using `self.config` instead of raw `config` parameter ([#5538](https://github.com/mem0ai/mem0/pull/5538))
      * **Embeddings:** Honor `aws_session_token` in AWS Bedrock embeddings ([#5566](https://github.com/mem0ai/mem0/pull/5566))
      * **Rerankers:** Respect `config.top_k` in Cohere and ZeroEntropy fallback paths ([#5560](https://github.com/mem0ai/mem0/pull/5560))
      * **Vector Stores:** Fix FAISS filtered search dropping over-fetched candidates before filtering ([#5453](https://github.com/mem0ai/mem0/pull/5453))
      * **Vector Stores:** Fix Weaviate `reset()` crashing with missing `vector_size` argument ([#5531](https://github.com/mem0ai/mem0/pull/5531))
      * **Vector Stores:** Pass embedding dims in Weaviate `reset()` to avoid re-init crash ([#5570](https://github.com/mem0ai/mem0/pull/5570))
      * **Vector Stores:** Fix MongoDB `reset()` passing wrong argument to `create_col()` ([#5532](https://github.com/mem0ai/mem0/pull/5532))
      * **Vector Stores:** Fix Pinecone hybrid search crashing when `filters` is `None` ([#5533](https://github.com/mem0ai/mem0/pull/5533))
      * **Vector Stores:** Fix Redis crashing on empty or `None` filters in `search()` and `list()` ([#5446](https://github.com/mem0ai/mem0/pull/5446))
      * **Vector Stores:** Return `None` from `get()` for missing IDs in Milvus, Weaviate, and Supabase ([#5562](https://github.com/mem0ai/mem0/pull/5562))
      * **Vector Stores:** Return `None` from ChromaDB `get()` for missing IDs ([#5561](https://github.com/mem0ai/mem0/pull/5561))
    </Update>

    <Update label="2026-06-13" description="v2.0.6">
      **New Features:**

      * **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))

      **Bug Fixes:**

      * **Memory:** Prevent a crash in `parse_vision_messages` when vision support is disabled ([#5487](https://github.com/mem0ai/mem0/pull/5487))
      * **Vector Stores:** Expose the `https` option on the Qdrant vector store configuration so TLS endpoints can be targeted explicitly ([#5380](https://github.com/mem0ai/mem0/pull/5380))
      * **Vector Stores:** Use valid S3 Vectors entity index names, fixing index operations that failed on invalid names ([#5416](https://github.com/mem0ai/mem0/pull/5416))
      * **Vector Stores:** Fix `search()` crashing with a `TypeError` in the LangChain vector store when a result score is `None` ([#5072](https://github.com/mem0ai/mem0/pull/5072))
      * **Vector Stores:** Use `is not None` instead of a truthiness check for vector/payload in the PGVector `update()` path, so valid empty/zero values are no longer skipped ([#5488](https://github.com/mem0ai/mem0/pull/5488))
      * **Vector Stores:** Index the Valkey `memory` field as `TEXT` rather than `TAG` so full-text search behaves correctly ([#5443](https://github.com/mem0ai/mem0/pull/5443))
      * **Vector Stores:** Implement `$not` filter support in the ChromaDB vector store ([#5485](https://github.com/mem0ai/mem0/pull/5485))
    </Update>

    <Update label="2026-06-10" description="v2.0.5">
      **New Features:**

      * **Memory:** Warn at init time when hybrid/BM25 search silently degrades to semantic-only because the configured vector store does not implement `keyword_search`. Affected stores: Chroma, FAISS, Cassandra, LangChain, Neptune Analytics, S3 Vectors, Supabase, TurboPuffer, Valkey ([#5444](https://github.com/mem0ai/mem0/pull/5444))
      * **Memory:** Add opt-in `explain=True` parameter to `Memory.search()` and `AsyncMemory.search()`. When enabled, each result includes a `score_details` dict with `semantic_score`, `bm25_score`, `entity_boost`, `raw_score`, `max_possible_score`, `final_score`, and `threshold` so callers can understand and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))

      **Bug Fixes:**

      * **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better): FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search: causing incorrect ranking in multi-store setups ([#5391](https://github.com/mem0ai/mem0/pull/5391))
      * **Memory:** Parallelize entity boost searches in `Memory.search()` and `AsyncMemory.search()`. Previously up to 8 entities were embedded and queried sequentially (16 serial round-trips with remote embedders); all entity lookups now run concurrently, eliminating multi-second latency on entity-rich queries ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Memory:** Reject empty or whitespace-only queries in `Memory.search()`, `AsyncMemory.search()`, `MemoryClient.search()`, and `AsyncMemoryClient.search()` before any embedding or API call is made. Also strips leading/trailing whitespace from valid queries ([#5258](https://github.com/mem0ai/mem0/pull/5258))
      * **LLMs:** Add `is_reasoning_model: Optional[bool]` override to `BaseLlmConfig` (surfaced on `OpenAILlmConfig` and `AzureOpenAILlmConfig`). Fixes silent zero-extraction when using Azure deployments with versioned `gpt-5.x` names that the automatic name-based heuristic cannot recognize ([#5327](https://github.com/mem0ai/mem0/pull/5327))
      * **LLMs:** Fix xAI LLM provider: add `XAIConfig` with `xai_base_url`, forward `tools`/`tool_choice` in `generate_response()`, and parse `tool_calls` in the response. Previously the provider raised `AttributeError` at init and silently dropped tool results ([#5190](https://github.com/mem0ai/mem0/pull/5190))
      * **Vector Stores:** Fix PGVector `ConnectionPool` hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable: switched to `open=False` to avoid blocking constructor or silent zombie pool ([#5155](https://github.com/mem0ai/mem0/pull/5155))
      * **Vector Stores:** Fix PGVector `sslmode` handling for PostgreSQL URIs: the `sslmode` query parameter is now correctly extracted and forwarded when building the async connection pool ([#5308](https://github.com/mem0ai/mem0/pull/5308))
      * **Vector Stores:** Fix S3 Vectors `list()` not applying metadata filters: filtering is now done client-side after fetching, with pagination preserved and `top_k` applied after filtering to prevent pre-truncation of matching rows ([#5018](https://github.com/mem0ai/mem0/pull/5018))
      * **Vector Stores:** Fix Upstash Vector `search()` routing all queries to the default namespace: `namespace` is now passed as a top-level keyword argument to `query_many()` instead of inside the per-query dict where it was silently ignored ([#5202](https://github.com/mem0ai/mem0/pull/5202))
      * **Core:** Replace mutable default arguments with `None` sentinels in embedder configs and the proxy module, preventing cross-request state contamination ([#5302](https://github.com/mem0ai/mem0/pull/5302))
    </Update>

    <Update label="2026-05-27" description="v2.0.4">
      **New Features:**

      * **Client:** `delete()` and async `delete()` accept `delete_linked` (default `False`). When `True`, deleting a memory also removes the older memories it superseded (the v3 `linked_memory_ids` chain), transitively: the delete-side counterpart of `latest_only`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
    </Update>

    <Update label="2026-05-26" description="v2.0.3">
      **Bug Fixes:**

      * **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keyword_search()`, and `list()`. Previously only exact-equality filters worked: operator dicts were silently stringified and returned zero results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
      * **Server:** Fixed `/search` endpoint returning 502 when `user_id`, `agent_id`, or `run_id` are sent as top-level request fields. The server now maps these into the `filters` dict before calling `Memory.search()`, matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log: clients should migrate to `filters={"user_id": "..."}` ([#5263](https://github.com/mem0ai/mem0/pull/5263))
    </Update>

    <Update label="2026-05-08" description="v2.0.2">
      **Bug Fixes:**

      * **Telemetry:** Stitch OSS and platform PostHog identities on `MemoryClient` init so `$identify` events fire and a single user is no longer tracked as two or three disconnected personas ([#5040](https://github.com/mem0ai/mem0/pull/5040))
      * **Security:** Harden against SQL injection and prompt injection ([#4997](https://github.com/mem0ai/mem0/pull/4997))

      **New Features:**

      * **SDK:** Expose `decay` on `project.update` ([#5062](https://github.com/mem0ai/mem0/pull/5062))

      **Improvements:**

      * **Plugin:** Hand `mem0` search decisions to the agent ([#4992](https://github.com/mem0ai/mem0/pull/4992))
    </Update>

    <Update label="2026-04-25" description="v2.0.1">
      **Bug Fixes:**

      * **Client:** Map `user_id`, `agent_id`, `run_id` entity params to filters in `GET /memories` ([#4960](https://github.com/mem0ai/mem0/pull/4960))
      * **Memory:** Honor `prompt` param in vector store extraction pipeline ([#4914](https://github.com/mem0ai/mem0/pull/4914))
      * **Memory:** Add missing `text_lemmatized` field in `AsyncMemory._create_memory` ([#4886](https://github.com/mem0ai/mem0/pull/4886))
      * **Memory:** Merge same-key operator dicts in AND metadata filters ([#4853](https://github.com/mem0ai/mem0/pull/4853))
      * **LLMs:** Narrow `_is_reasoning_model` check to not match `gpt-5.x` variants ([#4746](https://github.com/mem0ai/mem0/pull/4746))
      * **Vector Stores:** Add `ca_certs` config option for Elasticsearch vector store ([#3993](https://github.com/mem0ai/mem0/pull/3993))
      * **Vector Stores:** Add `agent_id` and `run_id` to Elasticsearch/OpenSearch default mappings ([#4906](https://github.com/mem0ai/mem0/pull/4906))
      * **Embeddings:** Set FastEmbed `embedding_dims` from model metadata at init ([#4711](https://github.com/mem0ai/mem0/pull/4711))

      **Security:**

      * Bump vulnerable dependencies to patched versions ([#4835](https://github.com/mem0ai/mem0/pull/4835))
    </Update>

    <Update label="2026-04-14" description="v2.0.0">
      **Major Release**: Python SDK with V3 memory pipeline, ADD-only extraction, and cleaned-up API surface.

      **New Features:**

      * **Single-Pass Extraction:** Replaced 2-LLM-call pipeline with additive extraction using `ADDITIVE_EXTRACTION_PROMPT`. Memories accumulate via `linked_memory_ids`: no more UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Hybrid Search:** Combined semantic + BM25 keyword matching + entity boost with additive scoring. Native `keyword_search()` added to 15 vector store adapters (Qdrant, Elasticsearch, OpenSearch, Azure AI Search, Weaviate, Redis, PGVector, Pinecone, Databricks, MongoDB, Milvus, Baidu, Upstash, Azure MySQL, Vertex AI) ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Entity Extraction & Linking:** spaCy-based entity extraction with second vector collection (`{collection}_entities`) for cross-memory relationship retrieval. Optional dependency: `pip install mem0ai[nlp]` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Batch Operations:** Batch embedding, batch persist, and batch entity linking (8-phase pipeline) for both sync `Memory` and async `AsyncMemory` at full parity ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Message Persistence:** SQLite-based rolling window (10 messages per session scope) for LLM context ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Valkey Cluster Mode:** Added `cluster_mode` parameter for Valkey Cluster Mode Enabled (CME) deployments ([#4759](https://github.com/mem0ai/mem0/pull/4759))
      * **V3 API Endpoints:** `MemoryClient.add()` now posts to `/v3/memories/add/`; `MemoryClient.get_all()` posts to `/v3/memories/` and returns a paginated envelope `{"count": int, "next": str | None, "previous": str | None, "results": [...]}` ([#4856](https://github.com/mem0ai/mem0/pull/4856))
      * **Default model:** `gpt-5-mini` is now the default across `OpenAILLM`, `OpenAIStructuredLLM`, `AzureOpenAILLM`, `AzureOpenAIStructuredLLM`, and `LiteLLM` fallback ([#4829](https://github.com/mem0ai/mem0/pull/4829))

      **Breaking Changes:**

      * **`add()` returns ADD-only events**: No more `"UPDATE"` or `"DELETE"` events. Memories accumulate; nothing is overwritten ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`search()` default `threshold` is now `0.1`**: Pass `threshold=0.0` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`search()` `score` is now a combined multi-signal score**: The top-level `score` fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **`search()` default `rerank` is now `False`**: Pass `rerank=True` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`top_k` default changed 100 → 20** in `Memory.get_all()` and `Memory.search()` (sync + async). Pass `top_k=100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Entity ID validation:** `user_id` / `agent_id` / `run_id` are trimmed; empty-string and whitespace-only values now raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Search params validation:** `threshold` must be a number in `[0, 1]`; `top_k` must be a non-negative integer: invalid inputs raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`messages` in `Memory.add()` rejects invalid types:** Passing `None` or non-`(str | dict | list)` values raises `Mem0ValidationError` (`error_code="VALIDATION_003"`) ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`qdrant-client>=1.12.0` required**: Upgrade from `>=1.9.1` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`org_id` and `project_id` removed**: Removed from `MemoryClient` constructor and all method signatures ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **External Graph Store Removed (OSS):** `mem0/memory/graph_memory.py`, `memgraph_memory.py`, `kuzu_memory.py`, `apache_age_memory.py`, and `mem0/graphs/` (Neo4j / Memgraph / Kuzu / Apache AGE / Neptune drivers) deleted, about 4,000 lines. The external graph store integration is no longer part of the OSS SDK; graph drivers (neo4j, memgraph, kuzu, etc.) can be uninstalled. Graph memory now runs natively as built-in entity linking. Remove `enable_graph` and `graph_store` from your config ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`enable_graph` removed from Client SDK:** Graph memory now runs automatically and no longer needs a flag. Remove `enable_graph` from `MemoryClient.add()` / `search()` / `get_all()` / `update_project()` calls ([#4776](https://github.com/mem0ai/mem0/pull/4776))
      * **`custom_fact_extraction_prompt` renamed to `custom_instructions`**: Update config and memory module references ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **Typed option classes**: Added Pydantic v2 typed classes: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions`, `UpdateMemoryOptions`, `ProjectUpdateOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))

      **Security:**

      * **FAISS:** Prevent arbitrary code execution via pickle deserialization in `FAISS` vector store ([#4833](https://github.com/mem0ai/mem0/pull/4833))

      **Bug Fixes:**

      * **V3 migration crashes:** Fixed crashes in the v3 migration path; entity linking on OSS is now functional across Qdrant and Milvus backends ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **Qdrant entity store:** Entity store now shares the existing Qdrant client when using embedded mode (`path=...`), eliminating RocksDB lock contention between the main and entity collections ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **Reranker:** Fixed incorrect use of SentenceTransformer for cross-encoder reranker models: switched to CrossEncoder API for proper scoring ([#4806](https://github.com/mem0ai/mem0/pull/4806))
      * **S3 Vectors:** Handle `vector=None` in `update()` to prevent boto3 validation error when `event=NONE` ([#4594](https://github.com/mem0ai/mem0/pull/4594))
      * **LLMs:** Made OpenAI `store` parameter opt-in to prevent leaking to non-OpenAI backends like Google Gemini ([#4757](https://github.com/mem0ai/mem0/pull/4757))
      * **LLMs:** Forward `response_format` to Azure OpenAI API to prevent JSON parsing failures ([#4689](https://github.com/mem0ai/mem0/pull/4689))
      * **Core:** Guard `temp_uuid_mapping` lookups against LLM-hallucinated IDs with safe `.get()` and warnings ([#4674](https://github.com/mem0ai/mem0/pull/4674))
      * **Client:** Prevent `MemoryClient.feedback()` telemetry TypeError by merging feedback data into single payload ([#4795](https://github.com/mem0ai/mem0/pull/4795))

      **Improvements:**

      * **Telemetry:** Sample OSS hot-path events at 10% via PostHog `before_send` hook to reduce event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))

      See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) and [Platform migration guide](https://docs.mem0.ai/migration/platform-v2-to-v3) for upgrade instructions.
    </Update>

    <Update label="2026-04-06" description="v1.0.11">
      **New Features & Updates:**

      * **SDK:** Added `multilingual` parameter to project update ([#4314](https://github.com/mem0ai/mem0/pull/4314))

      **Bug Fixes:**

      * **LLMs:** Fixed Groq model configuration ([#4700](https://github.com/mem0ai/mem0/pull/4700))
      * **Core:** Prevented thread and memory leaks from PostHog telemetry ([#4535](https://github.com/mem0ai/mem0/pull/4535))
      * **Vector Stores:** Used `DatetimeRange` for datetime string values in Qdrant range filters ([#4659](https://github.com/mem0ai/mem0/pull/4659))
      * **Configs:** Added missing `ConfigDict` to vector store configs (Elasticsearch, MongoDB, Neptune, OpenSearch, PGVector, Supabase, Valkey) ([#4656](https://github.com/mem0ai/mem0/pull/4656))
    </Update>

    <Update label="2026-04-01" description="v1.0.10">
      **New Features & Updates:**

      * **LLMs:** Added MiniMax provider support for AWS Bedrock ([#4609](https://github.com/mem0ai/mem0/pull/4609))

      **Bug Fixes:**

      * **Configs:** Migrated CassandraConfig and AzureMySQLConfig to pydantic v2 ConfigDict ([#4646](https://github.com/mem0ai/mem0/pull/4646))
      * **LLMs:** Forward `response_format` to OpenAI-compatible API for DeepSeek ([#4635](https://github.com/mem0ai/mem0/pull/4635))
      * **LLMs:** Forward `response_format` to OpenAI-compatible API for vLLM ([#4608](https://github.com/mem0ai/mem0/pull/4608))
      * **Vector Stores:** Only list authorized collections when listing MongoDB collections ([#3888](https://github.com/mem0ai/mem0/pull/3888))
      * **Core:** Reset graph database in `Memory.reset()` ([#4185](https://github.com/mem0ai/mem0/pull/4185))
      * **Core:** Make `AsyncMemory.from_config` a regular classmethod ([#4183](https://github.com/mem0ai/mem0/pull/4183))
    </Update>

    <Update label="2026-03-28" description="v1.0.9">
      **New Features & Updates:**

      * **LLMs:** Added `reasoning_effort` parameter support for reasoning models ([#4461](https://github.com/mem0ai/mem0/pull/4461))

      **Bug Fixes:**

      * **Core:** Preserved original `actor_id` during memory update ([#4570](https://github.com/mem0ai/mem0/pull/4570))
      * **Core:** Set `updated_at` on creation and preserve pre-existing `created_at` ([#4499](https://github.com/mem0ai/mem0/pull/4499))
      * **Core:** Centralized entity cleanup and skip malformed LLM relation dicts ([#4515](https://github.com/mem0ai/mem0/pull/4515))
      * **Core:** Removed `README.md` from wheel shared-data ([#4052](https://github.com/mem0ai/mem0/pull/4052))
      * **Vector Stores:** Handled `vector=None` in Milvus and Qdrant update methods ([#4568](https://github.com/mem0ai/mem0/pull/4568))
      * **Vector Stores:** Rebuilt FAISS index on vector deletion ([#4178](https://github.com/mem0ai/mem0/pull/4178))

      **Improvements:**

      * **Embeddings:** Updated default Gemini and Vertex AI embedder model to `gemini-embedding-001` ([#4571](https://github.com/mem0ai/mem0/pull/4571))
    </Update>

    <Update label="2026-03-26" description="v1.0.8">
      **New Features & Updates:**

      * **Vector Stores:** Integrated Turbopuffer as a vector database provider ([#4428](https://github.com/mem0ai/mem0/pull/4428))
      * **LLMs:** Added MiniMax LLM provider ([#4431](https://github.com/mem0ai/mem0/pull/4431))

      **Bug Fixes:**

      * **Core:** Fixed merging of multiple filter operators for the same key ([#4559](https://github.com/mem0ai/mem0/pull/4559))
      * **Core:** Prevented in-place mutation of metadata in `_create_memory` ([#4529](https://github.com/mem0ai/mem0/pull/4529))
      * **Core:** Preserved custom metadata when updating memory ([#4495](https://github.com/mem0ai/mem0/pull/4495))
      * **Core:** Handled chatty LLM responses in JSON parsing ([#4525](https://github.com/mem0ai/mem0/pull/4525))
      * **Core:** Prevented double embedding in `mem0.add` ([#3996](https://github.com/mem0ai/mem0/pull/3996))
      * **Core:** Raised `ValueError` when deleting nonexistent memory ([#4455](https://github.com/mem0ai/mem0/pull/4455))
      * **Core:** Cleaned up graph store data on `Memory.delete()` ([#4505](https://github.com/mem0ai/mem0/pull/4505))
      * **Vector Stores:** Prevented SQL injection in Databricks vector store ([#4558](https://github.com/mem0ai/mem0/pull/4558))
      * **Vector Stores:** Upgraded MongoDB vector store from deprecated `knnVector` to GA `vectorSearch` ([#3995](https://github.com/mem0ai/mem0/pull/3995))
      * **Vector Stores:** Prevented embedding corruption in Valkey and Redis when vector is `None` ([#4362](https://github.com/mem0ai/mem0/pull/4362))
      * **Vector Stores:** Accepted default `/tmp/chroma` path in `ChromaDbConfig` validator ([#4179](https://github.com/mem0ai/mem0/pull/4179))
      * **Vector Stores:** Wrapped vector and payload in lists for `Langchain.update` ([#4446](https://github.com/mem0ai/mem0/pull/4446))
      * **Graph:** Soft-delete graph relationships instead of hard `DELETE` ([#4188](https://github.com/mem0ai/mem0/pull/4188))
      * **Graph:** Sanitized hyphens in Neo4j Cypher relationship names ([#4154](https://github.com/mem0ai/mem0/pull/4154))
      * **Graph:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
      * **Qdrant:** Fixed `do not remove local path on init` ([#4475](https://github.com/mem0ai/mem0/pull/4475))
      * **Qdrant:** Implemented enhanced metadata filtering operators ([#4127](https://github.com/mem0ai/mem0/pull/4127))
      * **Embeddings:** Fixed OpenAI embedding dimensions ([#4481](https://github.com/mem0ai/mem0/pull/4481))
      * **LLMs:** Omitted `topP` for Anthropic Converse in Bedrock; used `AWSBedrockConfig` in `LlmFactory` ([#4469](https://github.com/mem0ai/mem0/pull/4469))
      * **LLMs:** Avoided sending both `temperature` and `top_p` to Anthropic API ([#4471](https://github.com/mem0ai/mem0/pull/4471))
      * **LLMs:** Handled `None` content and empty candidates in `GeminiLLM` parsing ([#4462](https://github.com/mem0ai/mem0/pull/4462))
      * **LLMs:** Added missing `_parse_response` to `AzureOpenAIStructuredLLM` ([#4434](https://github.com/mem0ai/mem0/pull/4434))
      * **History:** Added timestamps for `DELETE` operations in history ([#4492](https://github.com/mem0ai/mem0/pull/4492))

      **Improvements:**

      * **Vector Stores:** Added vector validation to OpenSearchDB to ensure non-null, non-empty, and correct-dimension vectors ([#4472](https://github.com/mem0ai/mem0/pull/4472))
    </Update>

    <Update label="2026-03-19" description="v1.0.7">
      **Bug Fixes:**

      * **Core:** Fixed control characters in LLM JSON responses causing parse failures ([#4420](https://github.com/mem0ai/mem0/pull/4420))
      * **Core:** Replaced hardcoded US/Pacific timezone references with `timezone.utc` ([#4404](https://github.com/mem0ai/mem0/pull/4404))
      * **Core:** Preserved `http_auth` in `_safe_deepcopy_config` for OpenSearch ([#4418](https://github.com/mem0ai/mem0/pull/4418))
      * **Core:** Normalized malformed LLM fact output before embedding ([#4224](https://github.com/mem0ai/mem0/pull/4224))
      * **Embeddings:** Pass `encoding_format='float'` in OpenAI embeddings for proxy compatibility ([#4058](https://github.com/mem0ai/mem0/pull/4058))
      * **LLMs:** Fixed Ollama to pass tools to `client.chat` and parse `tool_calls` from response ([#4176](https://github.com/mem0ai/mem0/pull/4176))
      * **Reranker:** Support nested LLM config in `LLMReranker` for non-OpenAI providers ([#4405](https://github.com/mem0ai/mem0/pull/4405))
      * **Vector Stores:** Cast `vector_distance` to float in Redis search ([#4377](https://github.com/mem0ai/mem0/pull/4377))

      **Improvements:**

      * **Embeddings:** Improved Ollama embedder with model name normalization and error handling ([#4403](https://github.com/mem0ai/mem0/pull/4403))
    </Update>

    <Update label="2026-03-16" description="v1.0.6">
      **Bug Fixes:**

      * **Telemetry:** Fixed telemetry vector store initialization still running when `MEM0_TELEMETRY` is disabled (#4351)
      * **Core:** Removed destructive `vector_store.reset()` call from `delete_all()` that was wiping the entire vector store instead of deleting only the target memories (#4349)
      * **OSS:** `OllamaLLM` now respects the configured URL instead of always falling back to localhost (#4320)
      * **Core:** Fixed `KeyError` when LLM omits the `entities` key in tool call response (#4313)
      * **Prompts:** Ensured JSON instruction is included in prompts when using `json_object` response format (#4271)
      * **Core:** Fixed incorrect database parameter handling (#3913)

      **Dependencies:**

      * Updated LangChain dependencies to v1.0.0 (#4353)
      * Bumped protobuf dependency to 5.29.6 and extended upper bound to `<7.0.0` (#4326)
    </Update>

    <Update label="2026-03-03" description="v1.0.5">
      * **Telemetry Fix**
        * Fixed an issue where the PostHog client was initialized even after telemetry was disabled. Although events were not captured, the client was unnecessarily initialized.
    </Update>

    <Update label="2026-02-17" description="v1.0.4">
      **New Features & Updates:**

      * **Memory Update:**
        * Added `timestamp` parameter to `update()`: accepts Unix epoch (int/float) or ISO 8601 string
    </Update>

    <Update label="2026-01-29" description="v1.0.3">
      **New Features & Updates:**

      * **Project Settings:**
        * Added inclusion prompt, exclusion prompt, memory depth, and usecase setting
    </Update>

    <Update label="2026-01-13" description="v1.0.2">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added DriverInfo metadata to MongoDB vector store
    </Update>

    <Update label="2025-11-14" description="v1.0.1">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Apache Cassandra vector store support
      * **Embeddings:**
        * Added FastEmbed embedding support for local embeddings
      * **Graph Store:**
        * Added configurable embedding similarity threshold for graph store node matching

      **Bug Fixes:**

      * **Core:**
        * Fixed condition check for memories\_result type in Memory class
        * Fixed list\_memories endpoint Pydantic validation error
        * Fixed memory deletion not removing from vector store
    </Update>

    <Update label="2025-10-16" description="v1.0.0">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Azure MySQL support
        * Added Azure AI Search Vector Store support
      * **LLMs:**
        * Added Tool Call support for LangchainLLM
        * Enabled custom model and parameters for Hugging Face with huggingface\_base\_url
        * Updated default LLM configuration
      * **Rerankers:**
        * Added reranker support: Cohere, ZeroEntropy, Hugging Face, Sentence Transformers, and LLMs
      * **Core:**
        * Added metadata filtering for OSS
        * Added Assistant memory retrieval
        * Enabled async mode as default

      **Improvements:**

      * **Prompts:**
        * Improved prompt for better memory retrieval
      * **Dependencies:**
        * Updated dependency compatibility with OpenAI 2.x
      * **Validation:**
        * Validated embedding\_dims for Kuzu integration

      **Bug Fixes:**

      * **Vector Stores:**
        * Fixed Databricks Vector Store integration
        * Fixed Milvus DB bug and added test coverage
        * Fixed Weaviate search method
      * **LLMs:**
        * Fixed bug with thinking LLM in vLLM
    </Update>

    <Update label="2025-09-25" description="v0.1.118">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Valkey vector store support
        * Added support for ChromaDB Cloud
        * Added Mem0 vector store backend integration for Neptune Analytics
      * **Graph Store:**
        * Added Neptune-DB graph store with vector store
      * **Core:**
        * Implemented structured exception classes with error codes and suggested actions

      **Improvements:**

      * **Dependencies:**
        * Updated OpenAI dependency and improved Ollama compatibility
      * **Testing:**
        * Added Weaviate DB test
        * Added comprehensive test suite for SQLiteManager
      * **Documentation:**
        * Updated category docs
        * Updated Search V2 / Get All V2 filters documentation
        * Refactored AWS example title
        * Fixed Quickstart cURL example

      **Bug Fixes:**

      * **Vector Stores:**
        * Databricks bug fixes
        * Fixed S3 Vectors memory initialization issue from configuration
      * **Core:**
        * Fixed JSON parsing with new memories
        * Replaced hardcoded LLM provider with provider from configuration
      * **LLMs:**
        * Fixed Bedrock Anthropic models to use system field
    </Update>

    <Update label="2025-09-03" description="v0.1.117">
      **New Features & Updates:**

      * **OpenMemory:**
        * Added memory export / import feature
        * Added vector store integrations: Weaviate, FAISS, PGVector, Chroma, Redis, Elasticsearch, Milvus
        * Added `export_openmemory.sh` migration script
      * **Vector Stores:**
        * Added Amazon S3 Vectors support
        * Added Databricks Mosaic AI vector store support
        * Added support for OpenAI Store
      * **Graph Memory:** Added support for graph memory using Kuzu
      * **Azure:** Added Azure Identity for Azure OpenAI and Azure AI Search authentication
      * **Elasticsearch:** Added headers configuration support

      **Improvements:**

      * Added custom connection client to enable connecting to local containers for Weaviate
      * Updated configuration AWS Bedrock
      * Fixed dependency issues and tests; updated docstrings
      * **Documentation:**
        * Fixed Graph Docs page missing in sidebar
        * Updated integration documentation
        * Added version param in Search V2 API documentation
        * Updated Databricks documentation and refactored docs
        * Updated favicon logo
        * Fixed typos and Typescript docs

      **Bug Fixes:**

      * Baidu: Added missing provider for Baidu vector DB
      * MongoDB: Replaced `query_vector` args in search method
      * Fixed new memory mistaken for current
      * AsyncMemory.\_add\_to\_vector\_store: handled edge case when no facts found
      * Fixed missing commas in Kuzu graph INSERT queries
      * Fixed inconsistent created and updated properties for Graph
      * Fixed missing `app_id` on client for Neptune Analytics
      * Correctly pick AWS region from environment variable
      * Fixed Ollama model existence check

      **Refactoring:**

      * **PGVector:** Use internal connection pools and context managers
    </Update>

    <Update label="2025-08-14" description="v0.1.116">
      **New Features & Updates:**

      * **Pinecone:** Added namespace support and improved type safety
      * **Milvus:** Added db\_name field to MilvusDBConfig
      * **Vector Stores:** Added multi-id filters support
      * **Vercel AI SDK:** Migration to AI SDK V5.0
      * **Python Support:** Added Python 3.12 support
      * **Graph Memory:** Added sanitizer methods for nodes and relationships
      * **LLM Monitoring:** Added monitoring callback support

      **Improvements:**

      * **Performance:**
        * Improved async handling in AsyncMemory class
      * **Documentation:**
        * Added async add announcement
        * Added personalized search docs
        * Added Neptune examples
        * Added V5 migration docs
      * **Configuration:**
        * Refactored base class config for LLMs
        * Added sslmode for pgvector
      * **Dependencies:**
        * Updated psycopg to version 3
        * Updated Docker compose

      **Bug Fixes:**

      * **Tests:**
        * Fixed failing tests
        * Restricted package versions
      * **Memgraph:**
        * Fixed async attribute errors
        * Fixed n\_embeddings usage
        * Fixed indexing issues
      * **Vector Stores:**
        * Fixed Qdrant cloud indexing
        * Fixed Neo4j Cypher syntax
        * Fixed LLM parameters
      * **Graph Store:**
        * Fixed LM config prioritization
      * **Dependencies:**
        * Fixed JSON import for psycopg

      **Refactoring:**

      * **Google AI:** Refactored from Gemini to Google AI
      * **Base Classes:** Refactored LLM base class configuration
    </Update>

    <Update label="2025-07-24" description="v0.1.115">
      **New Features & Updates:**

      * Enhanced project management via `client.project` and `AsyncMemoryClient.project` interfaces
      * Full support for project CRUD operations (create, read, update, delete)
      * Project member management: add, update, remove, and list members
      * Manage project settings including custom instructions, categories, retrieval criteria, and graph enablement
      * Both sync and async support for all project management operations

      **Improvements:**

      * **Documentation:**
        * Added detailed API reference and usage examples for new project management methods.
        * Updated all docs to use `client.project.get()` and `client.project.update()` instead of deprecated methods.

      * **Deprecation:**
        * Marked `get_project()` and `update_project()` as deprecated (these methods were already present); added warnings to guide users to the new API.

      **Bug Fixes:**

      * **Tests:**
        * Fixed Gemini embedder and LLM test mocks for correct error handling and argument structure.
      * **vLLM:**
        * Fixed duplicate import in vLLM module.
    </Update>

    <Update label="2025-07-05" description="v0.1.114">
      **New Features:**

      * **OpenAI Agents:** Added OpenAI agents SDK support
      * **Amazon Neptune:** Added Amazon Neptune Analytics graph\_store configuration and integration
      * **vLLM:** Added vLLM support

      **Improvements:**

      * **Documentation:**
        * Added SOC2 and HIPAA compliance documentation
        * Enhanced group chat feature documentation for platform
        * Added Google AI ADK Integration documentation
        * Fixed documentation images and links
      * **Setup:** Fixed Mem0 setup, logging, and documentation issues

      **Bug Fixes:**

      * **MongoDB:** Fixed MongoDB Vector Store misaligned strings and classes
      * **vLLM:** Fixed missing OpenAI import in vLLM module and call errors
      * **Dependencies:** Fixed CI issues related to missing dependencies
      * **Installation:** Reverted pip install changes
    </Update>

    <Update label="2025-06-30" description="v0.1.113">
      **Bug Fixes:**

      * **Gemini:** Fixed Gemini embedder configuration
    </Update>

    <Update label="2025-06-27" description="v0.1.112">
      **New Features:**

      * **Memory:** Added immutable parameter to add method
      * **OpenMemory:** Added async\_mode parameter support

      **Improvements:**

      * **Documentation:**
        * Enhanced platform feature documentation
        * Fixed documentation links
        * Added async\_mode documentation
      * **MongoDB:** Fixed MongoDB configuration name

      **Bug Fixes:**

      * **Bedrock:** Fixed Bedrock LLM, embeddings, tools, and temporary credentials
      * **Memory:** Fixed memory categorization by updating dependencies and correcting API usage
      * **Gemini:** Fixed Gemini Embeddings and LLM issues
    </Update>

    <Update label="2025-06-23" description="v0.1.111">
      **New Features:**

      * **OpenMemory:**
        * Added OpenMemory augment support
        * Added OpenMemory Local Support using new library
      * **vLLM:** Added vLLM support integration

      **Improvements:**

      * **Documentation:**
        * Added MCP Client Integration Guide and updated installation commands
        * Improved Agent Id documentation for Mem0 OSS Graph Memory
      * **Core:** Added JSON parsing to solve hallucination errors

      **Bug Fixes:**

      * **Gemini:** Fixed Gemini Embeddings migration
    </Update>

    <Update label="2025-06-20" description="v0.1.110">
      **New Features:**

      * **Baidu:** Added Baidu vector database integration

      **Improvements:**

      * **Documentation:**
        * Updated changelog
        * Fixed example in quickstart page
        * Updated client.update() method documentation in OpenAPI specification
      * **OpenSearch:** Updated logger warning

      **Bug Fixes:**

      * **CI:** Fixed failing CI pipeline
    </Update>

    <Update label="2025-06-19" description="v0.1.109">
      **New Features:**

      * **AgentOps:** Added AgentOps integration
      * **LM Studio:** Added response\_format parameter for LM Studio configuration
      * **Examples:** Added Memory agent powered by voice (Cartesia + Agno)

      **Improvements:**

      * **AI SDK:** Added output\_format parameter
      * **Client:** Enhanced update method to support metadata
      * **Google:** Added Google Genai library support

      **Bug Fixes:**

      * **Build:** Fixed Build CI failure
      * **Pinecone:** Fixed pinecone for async memory
    </Update>

    <Update label="2025-06-14" description="v0.1.108">
      **New Features:**

      * **MongoDB:** Added MongoDB Vector Store support
      * **Client:** Added client support for summary functionality

      **Improvements:**

      * **Pinecone:** Fixed pinecone version issues
      * **OpenSearch:** Added logger support
      * **Testing:** Added python version test environments
    </Update>

    <Update label="2025-06-11" description="v0.1.107">
      **Improvements:**

      * **Documentation:**
        * Updated Livekit documentation migration
        * Updated OpenMemory hosted version documentation
      * **Core:** Updated categorization flow
      * **Storage:** Fixed migration issues
    </Update>

    <Update label="2025-06-09" description="v0.1.106">
      **New Features:**

      * **Cloudflare:** Added Cloudflare vector store support
      * **Search:** Added threshold parameter to search functionality
      * **API:** Added wildcard character support for v2 Memory APIs

      **Improvements:**

      * **Documentation:** Updated README docs for OpenMemory environment setup
      * **Core:** Added support for unique user IDs

      **Bug Fixes:**

      * **Core:** Fixed error handling exceptions
    </Update>

    <Update label="2025-06-03" description="v0.1.104">
      **Bug Fixes:**

      * **Vector Stores:** Fixed GET\_ALL functionality for FAISS and OpenSearch
    </Update>

    <Update label="2025-06-02" description="v0.1.103">
      **New Features:**

      * **LLM:** Added support for OpenAI compatible LLM providers with baseUrl configuration

      **Improvements:**

      * **Documentation:**
        * Fixed broken links
        * Improved Graph Memory features documentation clarity
        * Updated enable\_graph documentation
      * **TypeScript SDK:** Updated Google SDK peer dependency version
      * **Client:** Added async mode parameter
    </Update>

    <Update label="2025-05-26" description="v0.1.102">
      **New Features:**

      * **Examples:** Added Neo4j example
      * **AI SDK:** Added Google provider support
      * **OpenMemory:** Added LLM and Embedding Providers support

      **Improvements:**

      * **Documentation:**
        * Updated memory export documentation
        * Enhanced role-based memory attribution rules documentation
        * Updated API reference and messages documentation
        * Added Mastra and Raycast documentation
        * Added NOT filter documentation for Search and GetAll V2
        * Announced Claude 4 support
      * **Core:**
        * Removed support for passing string as input in client.add()
        * Added support for sarvam-m model
      * **TypeScript SDK:** Fixed types from message interface

      **Bug Fixes:**

      * **Memory:** Prevented saving prompt artifacts as memory when no new facts are present
      * **OpenMemory:** Fixed typos in MCP tool description
    </Update>

    <Update label="2025-05-15" description="v0.1.101">
      **New Features:**

      * **Neo4j:** Added base label configuration support

      **Improvements:**

      * **Documentation:**
        * Updated Healthcare example index
        * Enhanced collaborative task agent documentation clarity
        * Added criteria-based filtering documentation
      * **OpenMemory:** Added cURL command for easy installation
      * **Build:** Migrated to Hatch build system
    </Update>

    <Update label="2025-05-10" description="v0.1.100">
      **New Features:**

      * **Memory:** Added Group Chat Memory Feature support
      * **Examples:** Added Healthcare assistant using Mem0 and Google ADK

      **Bug Fixes:**

      * **SSE:** Fixed SSE connection issues
      * **MCP:** Fixed memories not appearing in MCP clients added from Dashboard
    </Update>

    <Update label="2025-05-07" description="v0.1.99">
      **New Features:**

      * **OpenMemory:** Added OpenMemory support
      * **Neo4j:** Added weights to Neo4j model
      * **AWS:** Added support for Opsearch Serverless
      * **Examples:** Added ElizaOS Example

      **Improvements:**

      * **Documentation:** Updated Azure AI documentation
      * **AI SDK:** Added missing parameters and updated demo application
      * **OSS:** Fixed AOSS and AWS BedRock LLM
    </Update>

    <Update label="2025-04-30" description="v0.1.98">
      **New Features:**

      * **Neo4j:** Added support for Neo4j database
      * **AWS:** Added support for AWS Bedrock Embeddings

      **Improvements:**

      * **Client:** Updated delete\_users() to use V2 API endpoints
      * **Documentation:** Updated timestamp and dual-identity memory management docs
      * **Neo4j:** Improved Neo4j queries and removed warnings
      * **AI SDK:** Added support for graceful failure when services are down

      **Bug Fixes:**

      * Fixed AI SDK filters
      * Fixed new memories wrong type
      * Fixed duplicated metadata issue while adding/updating memories
    </Update>

    <Update label="2025-04-23" description="v0.1.97">
      **New Features:**

      * **HuggingFace:** Added support for HF Inference

      **Bug Fixes:**

      * Fixed proxy for Mem0
    </Update>

    <Update label="2025-04-16" description="v0.1.96">
      **New Features:**

      * **Vercel AI SDK:** Added Graph Memory support

      **Improvements:**

      * **Documentation:** Fixed timestamp and README links
      * **Client:** Updated TS client to use proper types for deleteUsers
      * **Dependencies:** Removed unnecessary dependencies from base package
    </Update>

    <Update label="2025-04-09" description="v0.1.95">
      **Improvements:**

      * **Client:** Fixed Ping Method for using default org\_id and project\_id
      * **Documentation:** Updated documentation

      **Bug Fixes:**

      * Fixed mem0-migrations issue
    </Update>

    <Update label="2025-04-26" description="v0.1.94">
      **New Features:**

      * **Integrations:** Added Memgraph integration
      * **Memory:** Added timestamp support
      * **Vector Stores:** Added reset function for VectorDBs

      **Improvements:**

      * **Documentation:**
        * Updated timestamp and expiration\_date documentation
        * Fixed v2 search documentation
        * Added "memory" in EC "Custom config" section
        * Fixed typos in the json config sample
    </Update>

    <Update label="2025-04-21" description="v0.1.93">
      **Improvements:**

      * **Vector Stores:** Initialized embedding\_model\_dims in all vectordbs

      **Bug Fixes:**

      * **Documentation:** Fixed agno link
    </Update>

    <Update label="2025-04-18" description="v0.1.92">
      **New Features:**

      * **Memory:** Added Memory Reset functionality
      * **Client:** Added support for Custom Instructions
      * **Examples:** Added Fitness Checker powered by memory

      **Improvements:**

      * **Core:** Updated capture\_event
      * **Documentation:** Fixed curl for v2 get\_all

      **Bug Fixes:**

      * **Vector Store:** Fixed user\_id functionality
      * **Client:** Various client improvements
    </Update>

    <Update label="2025-04-16" description="v0.1.91">
      **New Features:**

      * **LLM Integrations:** Added Azure OpenAI Embedding Model
      * **Examples:**
        * Added movie recommendation using grok3
        * Added Voice Assistant using Elevenlabs

      **Improvements:**

      * **Documentation:**
        * Added keywords AI
        * Reformatted navbar page URLs
        * Updated changelog
        * Updated openai.mdx
      * **FAISS:** Silenced FAISS info logs
    </Update>

    <Update label="2025-04-11" description="v0.1.90">
      **New Features:**

      * **LLM Integrations:** Added Mistral AI as LLM provider

      **Improvements:**

      * **Documentation:**
        * Updated changelog
        * Fixed memory exclusion example
        * Updated xAI documentation
        * Updated YouTube Chrome extension example documentation

      **Bug Fixes:**

      * **Core:** Fixed EmbedderFactory.create() in GraphMemory
      * **Azure OpenAI:** Added patch to fix Azure OpenAI
      * **Telemetry:** Fixed telemetry issue
    </Update>

    <Update label="2025-04-11" description="v0.1.89">
      **New Features:**

      * **Langchain Integration:** Added support for Langchain VectorStores
      * **Examples:**
        * Added personal assistant example
        * Added personal study buddy example
        * Added YouTube assistant Chrome extension example
        * Added agno example
        * Updated OpenAI Responses API examples
      * **Vector Store:** Added capability to store user\_id in vector database
      * **Async Memory:** Added async support for OSS

      **Improvements:**

      * **Documentation:** Updated formatting and examples
    </Update>

    <Update label="2025-04-09" description="v0.1.87">
      **New Features:**

      * **Upstash Vector:** Added support for Upstash Vector store

      **Improvements:**

      * **Code Quality:** Removed redundant code lines
      * **Build:** Updated MAKEFILE
      * **Documentation:** Updated memory export documentation
    </Update>

    <Update label="2025-04-07" description="v0.1.86">
      **Improvements:**

      * **FAISS:** Added embedding\_dims parameter to FAISS vector store
    </Update>

    <Update label="2025-04-07" description="v0.1.84">
      **New Features:**

      * **Langchain Embedder:** Added Langchain embedder integration

      **Improvements:**

      * **Langchain LLM:** Updated Langchain LLM integration to directly pass the Langchain object LLM
    </Update>

    <Update label="2025-04-07" description="v0.1.83">
      **Bug Fixes:**

      * **Langchain LLM:** Fixed issues with Langchain LLM integration
    </Update>

    <Update label="2025-04-07" description="v0.1.82">
      **New Features:**

      * **LLM Integrations:** Added support for Langchain LLMs, Google as new LLM and embedder
      * **Development:** Added development docker compose

      **Improvements:**

      * **Output Format:** Set output\_format='v1.1' and updated documentation

      **Documentation:**

      * **Integrations:** Added LMStudio and Together.ai documentation
      * **API Reference:** Updated output\_format documentation
      * **Integrations:** Added PipeCat integration documentation
      * **Integrations:** Added Flowise integration documentation for Mem0 memory setup

      **Bug Fixes:**

      * **Tests:** Fixed failing unit tests
    </Update>

    <Update label="2025-04-02" description="v0.1.79">
      **New Features:**

      * **FAISS Support:** Added FAISS vector store support
    </Update>

    <Update label="2025-04-02" description="v0.1.78">
      **New Features:**

      * **Livekit Integration:** Added Mem0 livekit example
      * **Evaluation:** Added evaluation framework and tools

      **Documentation:**

      * **Multimodal:** Updated multimodal documentation
      * **Examples:** Added examples for email processing
      * **API Reference:** Updated API reference section
      * **Elevenlabs:** Added Elevenlabs integration example

      **Bug Fixes:**

      * **OpenAI Environment Variables:** Fixed issues with OpenAI environment variables
      * **Deployment Errors:** Added `package.json` file to fix deployment errors
      * **Tools:** Fixed tools issues and improved formatting
      * **Docs:** Updated API reference section for `expiration date`
    </Update>

    <Update label="2025-03-26" description="v0.1.77">
      **Bug Fixes:**

      * **OpenAI Environment Variables:** Fixed issues with OpenAI environment variables
      * **Deployment Errors:** Added `package.json` file to fix deployment errors
      * **Tools:** Fixed tools issues and improved formatting
      * **Docs:** Updated API reference section for `expiration date`
    </Update>

    <Update label="2025-03-19" description="v0.1.76">
      **New Features:**

      * **Supabase Vector Store:** Added support for Supabase Vector Store
      * **Supabase History DB:** Added Supabase History DB to run Mem0 OSS on Serverless
      * **Feedback Method:** Added feedback method to client

      **Bug Fixes:**

      * **Azure OpenAI:** Fixed issues with Azure OpenAI
      * **Azure AI Search:** Fixed test cases for Azure AI Search
    </Update>
  </Tab>

  <Tab title="TypeScript">
    <Update label="2026-06-27" description="v3.0.12">
      **New Features:**

      * **Client:** Add `expirationDate` to `AddMemoryOptions`, `update()`, and the `Memory` interface; add `showExpired` to `SearchMemoryOptions` and `GetAllMemoryOptions` ([#5874](https://github.com/mem0ai/mem0/pull/5874))
      * **LLMs:** Add `MiniMaxLLM` provider backed by the OpenAI-compatible MiniMax API (`api.minimax.io/v1`, default model `MiniMax-M2.7`) ([#5858](https://github.com/mem0ai/mem0/pull/5858))
      * **LLMs:** Add `LiteLLM` provider for routing requests through a local or hosted LiteLLM proxy ([#5830](https://github.com/mem0ai/mem0/pull/5830))
      * **Vector Stores:** Add `connectionString` and `ssl` options to the PGVector config, allowing connection via URI instead of individual host/user/password/port fields ([#5789](https://github.com/mem0ai/mem0/pull/5789))

      **Bug Fixes:**

      * **Memory (OSS):** Validate and trim entity IDs (`userId`, `agentId`, `runId`) in `deleteAll()` via `validateAndTrimEntityId` ([#5735](https://github.com/mem0ai/mem0/pull/5735))
      * **Vector Stores:** Use nullish coalescing for `hash` and timestamps in the Redis `insert()` and `update()` paths so entity payloads that omit those fields no longer crash ([#5860](https://github.com/mem0ai/mem0/pull/5860))

      **Security:**

      * **Dependencies:** Bump `undici` to `>=6.27.0` via pnpm override to remediate CVE-2026-12151 ([#5861](https://github.com/mem0ai/mem0/pull/5861))
    </Update>

    <Update label="2026-06-24" description="v3.0.11">
      **Bug Fixes:**

      * **Memory (OSS):** Align entity extraction with Python by reducing generic entity noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ([#5829](https://github.com/mem0ai/mem0/pull/5829))
    </Update>

    <Update label="2026-06-24" description="v3.0.10">
      **Bug Fixes:**

      * **Memory (OSS):** Guard against malformed `image_url` entries in `parseVisionMessages` to prevent crashes ([#5631](https://github.com/mem0ai/mem0/pull/5631))
      * **Memory (OSS):** Return `attributedTo` from `get()`, `search()`, and `getAll()` ([#5675](https://github.com/mem0ai/mem0/pull/5675))
      * **Memory (OSS):** Preserve message roles in the extraction input so assistant facts aren't attributed to the user ([#5643](https://github.com/mem0ai/mem0/pull/5643))
      * **Memory (OSS):** Reject empty or blank messages in `Memory.add()` to prevent hallucinated memories ([#5545](https://github.com/mem0ai/mem0/pull/5545))
      * **Memory (OSS):** Check `message.role` instead of `content` when detecting system messages ([#3921](https://github.com/mem0ai/mem0/pull/3921))
      * **LLMs:** Honor the configured `baseURL` in `AnthropicLLM` ([#5740](https://github.com/mem0ai/mem0/pull/5740))
      * **Client:** Preserve `customCategories` names through key conversion ([#5741](https://github.com/mem0ai/mem0/pull/5741))
      * **Client:** Prevent hallucinated memories on an empty messages payload ([#5613](https://github.com/mem0ai/mem0/pull/5613))
      * **Client:** Preserve user metadata keys across the case-conversion round-trip ([#5515](https://github.com/mem0ai/mem0/pull/5515))

      **Security:**

      * **Dependencies:** Upgrade `form-data` to `>=4.0.6` across pnpm workspaces to remediate CVE-2026-12143 ([#5618](https://github.com/mem0ai/mem0/pull/5618))
    </Update>

    <Update label="2026-06-17" description="v3.0.9">
      **Bug Fixes:**

      * **LLMs:** Fix Anthropic `tool_choice` format: was incorrectly sent as a bare string `"auto"` (rejected by the API); now correctly sent as `{ type: "auto" }`. Also fixes tool response parsing: `tool_use` blocks are now parsed into `toolCalls` objects instead of throwing. Updated default model to `claude-sonnet-4-6` and default `max_tokens` to `2000` to match the Python provider. Added `temperature`, `topP`, and `maxTokens` to `LLMConfig` so Anthropic params can be configured ([#5537](https://github.com/mem0ai/mem0/pull/5537))
      * **Memory (OSS):** Preserve custom metadata fields during `update()`: fields such as `category`, `priority`, and other user-defined keys were previously dropped on update; the existing payload is now spread before applying the new data ([#5480](https://github.com/mem0ai/mem0/pull/5480))
      * **Client:** Preserve user-defined schema keys in `createMemoryExport` ([#5594](https://github.com/mem0ai/mem0/pull/5594))

      **Security:**

      * **Dependencies:** Bump `esbuild` to `>=0.28.1` across all npm packages via pnpm overrides to remediate upstream vulnerability ([#5563](https://github.com/mem0ai/mem0/pull/5563))
    </Update>

    <Update label="2026-06-13" description="v3.0.8">
      **New Features:**

      * **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))

      **Security:**

      * **Dependencies:** Upgrade `@langchain/community` to `^1.1.18` to remediate CVE-2026-27795 and CVE-2026-26019 ([#5510](https://github.com/mem0ai/mem0/pull/5510))
      * **Dependencies:** Resolve all open MEDIUM Dependabot alerts via pnpm overrides ([#5489](https://github.com/mem0ai/mem0/pull/5489))
    </Update>

    <Update label="2026-06-10" description="v3.0.7">
      **New Features:**

      * **Embeddings:** Add `LMStudioEmbedding` provider for local embeddings via the LM Studio server ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Memory:** Add opt-in `explain: true` option to `Memory.search()`. When enabled, each result includes a `scoreBreakdown` object with `semantic`, `keyword`, `entityBoost`, and `temporalBoost` fields so callers can inspect and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))

      **Bug Fixes:**

      * **Memory:** Parallelize entity boost searches in `Memory.search()`. All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better): fixed score inversion in the Redis vector store adapter ([#5391](https://github.com/mem0ai/mem0/pull/5391))
      * **Embeddings:** Request `encoding_format: "float"` from the OpenAI embedder in both `embed()` and `embedBatch()`. Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding ([#5170](https://github.com/mem0ai/mem0/pull/5170))
    </Update>

    <Update label="2026-06-01" description="v3.0.6">
      **Security:**

      * **Dependencies:** Bumped `axios` to `^1.16.0` to remediate high-severity prototype-pollution CVEs (credential theft, MITM, DoS). Pinned transitive dependencies via pnpm overrides: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
    </Update>

    <Update label="2026-05-27" description="v3.0.5">
      **New Features:**

      * **Client:** `delete()` accepts an options object with `deleteLinked` (serialized as `delete_linked`, default `false`). When `true`, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively: the delete-side counterpart of `latestOnly`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
    </Update>

    <Update label="2026-05-26" description="v3.0.4">
      **Bug Fixes:**

      * **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keywordSearch()`, and `list()`. Previously only exact-equality filters worked: operator objects were passed as raw values and returned incorrect results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
    </Update>

    <Update label="2026-05-08" description="v3.0.3">
      **Bug Fixes:**

      * **Telemetry:** Stitch OSS and platform PostHog identities on `MemoryClient` init so `$identify` events fire and a single user is no longer tracked as two or three disconnected personas ([#5040](https://github.com/mem0ai/mem0/pull/5040))
      * **Vector Stores:** Fix inverted vector distance in PGVector implementation ([#4944](https://github.com/mem0ai/mem0/pull/4944))
      * **Security:** Harden against SQL injection and prompt injection ([#4997](https://github.com/mem0ai/mem0/pull/4997))

      **New Features:**

      * **SDK:** Expose `decay` on `project.update` ([#5062](https://github.com/mem0ai/mem0/pull/5062))
    </Update>

    <Update label="2026-04-25" description="v3.0.2">
      **Bug Fixes:**

      * **LLMs:** Forward `timeout` config to OpenAI client in JS OSS LLM providers ([#4770](https://github.com/mem0ai/mem0/pull/4770))

      **Improvements:**

      * **Telemetry:** Harden TS telemetry version injection and require changelog entry on version bump ([#4900](https://github.com/mem0ai/mem0/pull/4900))
      * **Docs:** Update memory tool list, CLI usage, and config file reading logic ([#4861](https://github.com/mem0ai/mem0/pull/4861))
    </Update>

    <Update label="2026-04-20" description="v3.0.1">
      **Bug Fixes:**

      * **Telemetry:** SDK version is now injected into telemetry at build time via esbuild's `define`, replacing the two hardcoded version strings in `src/client/telemetry.ts` and `src/oss/src/utils/telemetry.ts`. Previously these were stuck at `2.1.36` and `2.1.34` while the published package was on `3.x`, so every telemetry event was reporting the wrong `client_version`. The placeholder is substituted with a string literal at bundle time: no runtime `require("./package.json")` in the shipped bundle ([#4897](https://github.com/mem0ai/mem0/pull/4897)).
    </Update>

    <Update label="2026-04-14" description="v3.0.0">
      **Major Release**: TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.

      **V3 Memory Pipeline (OSS):**

      * **Single-Pass Extraction:** Additive extraction pipeline aligned with Python SDK: memories accumulate, no UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Entity Extraction & Linking:** New `entity_extraction.ts` module (720+ lines) with cross-memory relationship retrieval ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Message Persistence:** SQLite-based message history via new `SQLiteManager.ts` with rolling window for LLM context ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Batch Embeddings:** `embedBatch()` support in OpenAI and Azure embedding providers ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Scoring & Lemmatization:** New `scoring.ts` and `lemmatization.ts` utilities for hybrid search ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **New Prompts:** `prompts/index.ts` (592+ lines) with additive extraction prompt aligned with Python SDK ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **V3 API Endpoints:** `MemoryClient.add()` now posts to `/v3/memories/add/`; `MemoryClient.getAll()` posts to `/v3/memories/` with paginated envelope `{ count, next, previous, results }` ([#4856](https://github.com/mem0ai/mem0/pull/4856))
      * **Default model:** `gpt-5-mini` is now the default in `OpenAI`, `OpenAIStructured`, and `Azure` LLM providers ([#4829](https://github.com/mem0ai/mem0/pull/4829))

      **Breaking Changes:**

      * **External Graph Store Removed (OSS):** `graph_memory.ts` (675 lines), `graphs/tools.ts` (267 lines), `graphs/utils.ts` (116 lines), `graphs/configs.ts` (30 lines) deleted. The external graph store integration is no longer part of the OSS SDK; graph memory now runs natively as built-in entity linking ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **camelCase Parameters (Client SDK):** All user-facing parameters converted from snake\_case to camelCase. Mapping is transparent at API boundary via `camelToSnakeKeys()` / `snakeToCamelKeys()` ([#4776](https://github.com/mem0ai/mem0/pull/4776))
        ```typescript theme={null}
        // Before
        client.add(messages, { user_id: "alice", top_k: 5 });
        // After
        client.add(messages, { userId: "alice", topK: 5 });
        ```
      * **Per-Method Option Types:** Replaced monolithic `MemoryOptions` with typed interfaces: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **Removed Deprecated Parameters:** `org_id`, `project_id`, `api_version`, `output_format`, `async_mode`, `enable_graph`, `limit` removed from client method signatures. `ClientOptions` reduced to `{ apiKey, host }` only ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`limit` renamed to `topK` (OSS):** Update all search calls ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`topK` default changed 100 → 20** in `Memory.getAll()` and `Memory.search()`. Pass `topK: 100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Entity ID validation:** `userId` / `agentId` / `runId` are trimmed; empty-string and whitespace-only values now throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Search params validation:** `threshold` must be in `[0, 1]`; `topK` must be a non-negative integer: invalid inputs throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`messages` in `Memory.add()` is required:** Passing `undefined` or `null` now throws ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`customPrompt` renamed to `customInstructions` (OSS):** Update memory and vector store configurations ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`enableGraph` removed (OSS):** Config option removed: graph memory no longer available in OSS ([#4776](https://github.com/mem0ai/mem0/pull/4776))

      **New Features:**

      * **LLMs:** Added DeepSeek LLM provider with OpenAI-compatible integration using custom baseURL to `api.deepseek.com` ([#4613](https://github.com/mem0ai/mem0/pull/4613))
      * **Entity store isolation:** `MemoryVectorStore` now uses a dedicated `_entities.db` file, preventing entity/memory store collisions ([#4829](https://github.com/mem0ai/mem0/pull/4829), [#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Payload backward compatibility:** Legacy camelCase payload keys normalized to snake\_case on read ([#4841](https://github.com/mem0ai/mem0/pull/4841))

      **Bug Fixes:**

      * **V3 migration:** Fixed crashes in the OSS migration path; entity linking works end-to-end ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **PGVector init race:** `PGVector.initialize()` now memoises the in-flight init promise ([#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Redis module detection:** Handles both node-redis v4+ and legacy `moduleList` response shapes ([#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Config:** Fixed `ConfigManager.mergeConfig()` to only include `graphStore` when explicitly provided by user, preventing default Neo4j connection attempts ([#4776](https://github.com/mem0ai/mem0/pull/4776))
      * **LLMs:** Config manager now falls back to `userConf.url` for `baseURL`: prevents custom LLM providers (Ollama, LMStudio) from silently connecting to OpenAI ([#4761](https://github.com/mem0ai/mem0/pull/4761))

      **Improvements:**

      * **Telemetry:** Sample OSS hot-path events at 10% to reduce PostHog event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))

      See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to-v3) for upgrade instructions.
    </Update>

    <Update label="2026-04-06" description="v2.4.6">
      **New Features & Updates:**

      * **Client:** Added `multilingual` parameter to project update types ([#4314](https://github.com/mem0ai/mem0/pull/4314))
    </Update>

    <Update label="2026-04-01" description="v2.4.5">
      **Bug Fixes:**

      * **OSS:** Replace `.single()` with `.maybeSingle()` in SupabaseDB.get() to handle missing rows ([#4599](https://github.com/mem0ai/mem0/pull/4599))
      * **Embeddings:** Pass dimensions parameter to OpenAI embeddings API ([#4632](https://github.com/mem0ai/mem0/pull/4632))
      * **OSS:** Extract JSON from chatty LLM responses in fact retrieval ([#4533](https://github.com/mem0ai/mem0/pull/4533))
    </Update>

    <Update label="2026-03-28" description="v2.4.4">
      **Bug Fixes:**

      * **OSS:** Fixed Qdrant Cloud "Illegal host" error by defaulting to port 6333 when URL has no explicit port ([#4565](https://github.com/mem0ai/mem0/pull/4565))
    </Update>

    <Update label="2026-03-26" description="v2.4.3">
      **New Features & Updates:**

      * **OSS:** Added pgvector support to NodeJS OSS `VectorStoreFactory` ([#3997](https://github.com/mem0ai/mem0/pull/3997))

      **Bug Fixes:**

      * **OSS:** Made pgvector `pg` import compatible with ESM ([#4544](https://github.com/mem0ai/mem0/pull/4544))
      * **OSS:** Registered pgvector in `VectorStoreFactory` ([#4502](https://github.com/mem0ai/mem0/pull/4502))
      * **OSS:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
      * **OSS:** Fixed `toCamelCase` in Redis `get` method for the payload ([#3172](https://github.com/mem0ai/mem0/pull/3172))
      * **Client:** Fixed Zod Schema incompatibility with OpenAI Structured Outputs API ([#3462](https://github.com/mem0ai/mem0/pull/3462))
    </Update>

    <Update label="2026-03-19" description="v2.4.2">
      **Bug Fixes:**

      * **Client:** Fixed webhook `createWebhook` and `updateWebhook` API serialization
      * **Client:** Added missing `MEMORY_CATEGORIZED` event type to `WebhookEvent` enum
      * **Types:** Added `WebhookCreatePayload` and `WebhookUpdatePayload` for better type safety

      **Tests:**

      * Added end-to-end unit test coverage for the platform client: CRUD, batch, search, webhooks, users, project, and initialization (#4357)
      * Added real API integration tests for memory CRUD, batch operations, search, user management, project configuration, and webhook lifecycle (#4395)
      * Deleted obsolete e2e test files replaced by the new structured test suite (#4419)
    </Update>

    <Update label="2026-03-16" description="v2.4.1">
      **Bug Fixes:**

      * **Core:** Fixed code block content extraction: content inside code blocks is now properly extracted instead of being deleted (#4317)

      **Improvements:**

      * **Code Quality:** Fixed linting issues across the SDK (#4334)
    </Update>

    <Update label="2026-03-14" description="v2.4.0">
      **Bug Fixes:**

      * **OSS Storage:** Fixed `SQLITE_CANTOPEN` errors when running as a LaunchAgent, systemd service, or in containers where `process.cwd()` is read-only (e.g. `/`). Default `vector_store.db` location changed from `process.cwd()/vector_store.db` to `~/.mem0/vector_store.db`.
      * **OSS Storage:** Fixed `historyDbPath` config being silently ignored: config merging always overwrote it with defaults. Top-level `historyDbPath` is now correctly propagated into `historyStore.config` with proper precedence.
      * **OSS Storage:** Added `ensureSQLiteDirectory()`: parent directories for SQLite database files are now auto-created before opening, preventing `SQLITE_CANTOPEN` when using nested paths.

      **Improvements:**

      * **Migration:** Added deprecation warning when an existing `vector_store.db` is found at the old `process.cwd()` location, guiding users to move it or set `vectorStore.config.dbPath` explicitly.
      * **Config:** Limited default SQLite config spreading to only SQLite history providers, preventing config leaking into Supabase or other providers.
    </Update>

    <Update label="2026-03-09" description="v2.3.0">
      **Breaking Changes:**

      * **Dependencies:** Minimum Node.js version for OSS sqlite features is now Node 20+ (due to `better-sqlite3` v12)

      **Bug Fixes:**

      * **OSS Storage:** Replaced `sqlite3` with `better-sqlite3` to fix native binding resolution failures under jiti-based loaders (e.g. OpenClaw plugin system). Fixes issues where the `bindings` module walked V8 stack frames with synthetic filenames, failing to locate the native `.node` addon.
      * **OSS Storage:** Fixed async init race condition in `SQLiteManager`: `init()` is now synchronous
      * **OSS Vector Store:** Migrated `MemoryVectorStore` from `sqlite3` to `better-sqlite3` with transactional batch inserts

      **Improvements:**

      * **Performance:** Cached prepared statements in `SQLiteManager` for faster history operations
      * **Performance:** Batch `insert()` in `MemoryVectorStore` wrapped in a transaction for atomicity
      * **Build:** Updated `tsup.config.ts` externals from `sqlite3` to `better-sqlite3`
    </Update>

    <Update label="2026-02-17" description="v2.2.3">
      **New Features & Updates:**

      * **Memory Update:**
        * Added `timestamp` parameter to `update()`: accepts Unix epoch or ISO 8601 string
    </Update>

    <Update label="2026-01-29" description="v2.2.2">
      **New Features & Updates:**

      * **Project Settings:**
        * Added inclusion prompt, exclusion prompt, memory depth, and usecase setting
    </Update>

    <Update label="2025-12-30" description="v2.2.1">
      **Improvements:**

      * **Client:** Added support for keyword arguments in `add` and `search` methods, allowing additional properties beyond defined options for experimental features
    </Update>

    <Update label="2025-12-29" description="v2.2.0">
      **New Features:**

      * **Vector Stores:** Added Azure AI Search vector store support

      **Improvements:**

      * **Config:** Fixed embedder config schema to support `embeddingDims` and `url` parameters
      * **Graph Memory:** Replaced hardcoded LLM provider with provider from configuration

      **Bug Fixes:**

      * **Embedders:** Fixed hardcoded `embeddingDims` values in embedders (OpenAI, Ollama, Google, Azure)
      * **Build:** Fixed TypeScript build errors
    </Update>

    <Update label="2025-09-04" description="v2.1.38">
      **New Features:**

      * **Client:** Added `metadata` param to `update` method.
    </Update>

    <Update label="2025-08-04" description="v2.1.37">
      **New Features:**

      * **OSS:** Added `RedisCloud` search module check
    </Update>

    <Update label="2025-07-08" description="v2.1.36">
      **New Features:**

      * **Client:** Added `structured_data_schema` param to `add` method.
    </Update>

    <Update label="2025-07-08" description="v2.1.35">
      **New Features:**

      * **Client:** Added `createMemoryExport` and `getMemoryExport` methods.
    </Update>

    <Update label="2025-07-03" description="v2.1.34">
      **New Features:**

      * **OSS:** Added Gemini support
    </Update>

    <Update label="2025-06-24" description="v2.1.33">
      **Improvement:**

      * **Client:** Added `immutable` param to `add` method.
    </Update>

    <Update label="2025-06-20" description="v2.1.32">
      **Improvement:**

      * **Client:** Made `api_version` V2 as default.
    </Update>

    <Update label="2025-06-17" description="v2.1.31">
      **Improvement:**

      * **Client:** Added param `filter_memories`.
    </Update>

    <Update label="2025-06-06" description="v2.1.30">
      **New Features:**

      * **OSS:** Added Cloudflare support

      **Improvements:**

      * **OSS:** Fixed baseURL param in LLM Config.
    </Update>

    <Update label="2025-05-30" description="v2.1.29">
      **Improvements:**

      * **Client:** Added Async Mode Param for `add` method.
    </Update>

    <Update label="2025-05-30" description="v2.1.28">
      **Improvements:**

      * **SDK:** Update Google SDK Peer Dependency Version.
    </Update>

    <Update label="2025-05-27" description="v2.1.27">
      **Improvements:**

      * **OSS:** Added baseURL param in LLM Config.
    </Update>

    <Update label="2025-05-23" description="v2.1.26">
      **Improvements:**

      * **Client:** Removed type `string` from `messages` interface
    </Update>

    <Update label="2025-05-08" description="v2.1.25">
      **Improvements:**

      * **Client:** Improved error handling in client.
    </Update>

    <Update label="2025-05-06" description="v2.1.24">
      **New Features:**

      * **Client:** Added new param `output_format` to match Python SDK.
      * **Client:** Added new enum `OutputFormat` for `v1.0` and `v1.1`
    </Update>

    <Update label="2025-05-05" description="v2.1.23">
      **New Features:**

      * **Client:** Updated `deleteUsers` to use `v2` API.
      * **Client:** Deprecated `deleteUser` and added deprecation warning.
    </Update>

    <Update label="2025-05-02" description="v2.1.22">
      **New Features:**

      * **Client:** Updated `deleteUser` to use `entity_id` and `entity_type`
    </Update>

    <Update label="2025-05-01" description="v2.1.21">
      **Improvements:**

      * **OSS SDK:** Bumped version of `@anthropic-ai/sdk` to `0.40.1`
    </Update>

    <Update label="2025-04-28" description="v2.1.20">
      **Improvements:**

      * **Client:** Fixed `organizationId` and `projectId` being assigned to default in `ping` method
    </Update>

    <Update label="2025-04-22" description="v2.1.19">
      **Improvements:**

      * **Client:** Added support for `timestamps`
    </Update>

    <Update label="2025-04-17" description="v2.1.18">
      **Improvements:**

      * **Client:** Added support for custom instructions
    </Update>

    <Update label="2025-04-15" description="v2.1.17">
      **New Features:**

      * **OSS SDK:** Added support for Langchain LLM
      * **OSS SDK:** Added support for Langchain Embedder
      * **OSS SDK:** Added support for Langchain Vector Store
      * **OSS SDK:** Added support for Azure OpenAI Embedder

      **Improvements:**

      * **OSS SDK:** Changed `model` in LLM and Embedder to use type any from `string` to use langchain llm models
      * **OSS SDK:** Added client to vector store config for langchain vector store
      * **OSS SDK:** - Updated Azure OpenAI to use new OpenAI SDK
    </Update>

    <Update label="2025-04-11" description="v2.1.16-patch.1">
      **Bug Fixes:**

      * **Azure OpenAI:** Fixed issues with Azure OpenAI
    </Update>

    <Update label="2025-04-11" description="v2.1.16">
      **New Features:**

      * **Azure OpenAI:** Added support for Azure OpenAI
      * **Mistral LLM:** Added Mistral LLM integration in OSS

      **Improvements:**

      * **Zod:** Updated Zod to 3.24.1 to avoid conflicts with other packages
    </Update>

    <Update label="2025-04-09" description="v2.1.15">
      **Improvements:**

      * **Client:** Added support for Mem0 to work with Chrome Extensions
    </Update>

    <Update label="2025-04-01" description="v2.1.14">
      **New Features:**

      * **Mastra Example:** Added Mastra example
      * **Integrations:** Added Flowise integration documentation for Mem0 memory setup

      **Improvements:**

      * **Demo:** Updated Demo Mem0AI
      * **Client:** Enhanced Ping method in Mem0 Client
      * **AI SDK:** Updated AI SDK implementation
    </Update>

    <Update label="2025-03-29" description="v2.1.13">
      **Improvements:**

      * **Introduced `ping` method to check if API key is valid and populate org/project id**
    </Update>

    <Update label="2025-03-29" description="AI SDK v1.0.0">
      **New Features:**

      * **Vercel AI SDK Update:** Support threshold and rerank

      **Improvements:**

      * **Made add calls async to avoid blocking**
      * **Bump `mem0ai` to use `2.1.12`**
    </Update>

    <Update label="2025-03-26" description="v2.1.12">
      **New Features:**

      * **Mem0 OSS:** Support infer param

      **Improvements:**

      * **Updated Supabase TS Docs**
      * **Made package size smaller**
    </Update>

    <Update label="2025-03-19" description="v2.1.11">
      **New Features:**

      * **Supabase Vector Store Integration**
      * **Feedback Method**
    </Update>
  </Tab>

  <Tab title="CLI">
    <Update label="2026-06-01" description="Node v0.2.8">
      **Security:**

      * **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
    </Update>

    <Update label="2026-05-16" description="Python v0.2.6 / Node v0.2.6">
      **Bug Fixes:**

      * **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>`: a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
    </Update>

    <Update label="2026-05-14" description="Python v0.2.5 / Node v0.2.5">
      **New Features:**

      * **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents: mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style: the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent: re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent: only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Claim flow:** `mem0 init --email <email>` claims an existing Agent Mode shadow via OTP. Upgrade-in-place: the API key never changes, memories transfer to the human's account ([#5123](https://github.com/mem0ai/mem0/pull/5123))

      **Bug Fixes:**

      * **Decision tree network resilience:** `pingKey` now distinguishes network errors from invalid keys: returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user's API key and rewriting plugin-sync targets ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Rate-limit error clarity:** DRF's opaque `"You do not have permission"` 403 from Agent Mode rate limits is now translated to `"Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC."` ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **JSON envelope `command` field:** `mem0 init --agent --json` error envelopes now populate the `command` field correctly instead of returning an empty string ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Bootstrap envelope validation:** Defends against partial/malformed backend responses (e.g. `{api_key: null}`) silently persisting null/undefined into typed string fields ([#5123](https://github.com/mem0ai/mem0/pull/5123))
    </Update>

    <Update label="2026-04-22" description="Python v0.2.4 / Node v0.2.4">
      **New Features:**

      * **V3 API Routes:** Migrated `add`, `search`, and `list` commands from v1/v2 to v3 API endpoints: `POST /v3/memories/add/`, `POST /v3/memories/search/`, `POST /v3/memories/`. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ([#4916](https://github.com/mem0ai/mem0/pull/4916))

      **Breaking Changes:**

      * **`--graph` / `--no-graph` removed:** The `enable_graph` config option, `--graph` and `--no-graph` CLI flags, and `MEM0_ENABLE_GRAPH` environment variable have been removed from both CLIs. Graph memory is now a project-level setting on the Platform ([#4916](https://github.com/mem0ai/mem0/pull/4916))
    </Update>

    <Update label="2026-04-11" description="Python v0.2.3 / Node v0.2.3">
      **Bug Fixes:**

      * **Telemetry:** Replaced shared `"anonymous-cli"` fallback with a persistent per-machine random hash (`cli-anon-<uuid>`), so anonymous CLI users are counted individually in PostHog instead of collapsing into one identity ([#4789](https://github.com/mem0ai/mem0/pull/4789))
      * **Telemetry:** Added PostHog `$identify` event on first authenticated run to stitch pre-signup anonymous history onto the authenticated user profile ([#4789](https://github.com/mem0ai/mem0/pull/4789))

      **Improvements:**

      * **API:** All API calls now include `source=CLI` in request bodies (POST/PUT) and query params (GET/DELETE) for server-side attribution ([#4789](https://github.com/mem0ai/mem0/pull/4789))
    </Update>

    <Update label="2026-04-06" description="Python v0.2.2 / Node v0.2.2">
      **New Features:**

      * **Telemetry:** Added PostHog telemetry and source tracking to both Python and Node CLIs ([#4699](https://github.com/mem0ai/mem0/pull/4699))
      * **Validation:** API key validated upfront via `/v1/ping/` on startup: fail-fast with a helpful error instead of cryptic 401s ([#4701](https://github.com/mem0ai/mem0/pull/4701))

      **Bug Fixes:**

      * **CD:** Fixed OIDC trusted publishing with `npx npm@latest` ([#4724](https://github.com/mem0ai/mem0/pull/4724))
      * **CD:** Removed npm self-upgrade from CD workflows ([#4723](https://github.com/mem0ai/mem0/pull/4723))
    </Update>

    <Update label="2026-04-03" description="Python v0.2.1 / Node v0.2.1">
      **New Features:**

      * **Docs:** Comprehensive README with installation, usage examples, and purple branding ([#4680](https://github.com/mem0ai/mem0/pull/4680))

      **Bug Fixes:**

      * **npm:** Added `repository` field to Node packages for npm provenance ([#4671](https://github.com/mem0ai/mem0/pull/4671))
      * **CD:** Added CD workflows for Node SDK packages with OIDC trusted publishing ([#4670](https://github.com/mem0ai/mem0/pull/4670))
    </Update>

    <Update label="2026-04-02" description="Python v0.2.0 / Node v0.1.1">
      **New Features:**

      * **`event` commands:** `mem0 event list` shows recent background processing events in a table; `mem0 event status <id>` shows full detail including nested memory results ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`--json` / `--agent` flag:** Root-level flag switches all command output to a structured JSON envelope for programmatic/agent consumption. Envelope format: `{"status", "command", "duration_ms", "scope", "count", "data"}` ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **Agent output sanitization:** Raw API responses projected to only relevant fields per command (e.g., `add` → `{id, memory, event}`, `search` → `{id, memory, score, created_at, categories}`) ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **Email login:** Added email verification code login to `mem0 init` ([#4623](https://github.com/mem0ai/mem0/pull/4623))
      * **Brand update:** Updated color palette from purple to golden ([#4664](https://github.com/mem0ai/mem0/pull/4664))
      * **CI/CD:** Added CI pipelines and CD workflows for both CLIs ([#4640](https://github.com/mem0ai/mem0/pull/4640), [#4653](https://github.com/mem0ai/mem0/pull/4653))

      **Bug Fixes:**

      * **Node:** Fixed critical `MODULE_NOT_FOUND` crash on `status`, `import`, and all commands when installed globally: replaced runtime `createRequire` with build-time version injection ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **Node:** API errors now show full response detail instead of bare "Bad Request" ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **Python:** Fixed double error printing on all commands ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **`status` command:** Replaced heavyweight `/v1/entities/` check with dedicated `GET /v1/ping/` endpoint ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`add` command:** Deduplicated PENDING results from API; changed misleading count message ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`init` command:** Partial flags now work in non-TTY; warns before overwriting existing config; added `--force` flag ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`delete` command:** Fixed entity delete via v2 API for all entity types ([#4649](https://github.com/mem0ai/mem0/pull/4649))

      **Improvements:**

      * Tables now show full UUIDs (was truncated to 8 chars, making `mem0 get <id>` fail) ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * Search table includes Score column ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * `config get api_key` short-form aliases added ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * Client-side validation for `--expires`, `--page-size`, `--page`, `--top-k`, `--threshold`, and empty content ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * `printInfo` / `printScope` moved to stderr to avoid contaminating JSON piping ([#4636](https://github.com/mem0ai/mem0/pull/4636))
    </Update>

    <Update label="2026-03-26" description="Python v0.1.0 / Node v0.1.0">
      **Initial Release: Official Mem0 CLI**

      A full-featured command-line interface for Mem0, available in both Python and Node.js:

      * **Install:** `pip install mem0-cli` (Python) or `npm install -g @mem0/cli` (Node.js)
      * **Full command suite:** `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`
      * **Interactive setup:** `mem0 init` with API key entry and user ID configuration
      * **Works everywhere:** Platform (Mem0 Cloud) and self-hosted OSS modes
      * **Scriptable:** `-o json` flag for CI/CD pipelines and automation
      * **Dual SDK:** Same commands, same experience across Python and Node.js
      * **Shared spec:** Both implementations driven by a single `cli-spec.json` ensuring identical behavior ([#4575](https://github.com/mem0ai/mem0/pull/4575))
    </Update>
  </Tab>

  <Tab title="Plugins">
    <Update label="2026-06-01" description="openclaw-mem0 v1.0.12">
      **Security:**

      * **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `protobufjs` → ^7.5.5, `vite` → ^8.0.5, `langsmith` → ^0.6.0 (CVE-2026-45134), `picomatch` → ^2.3.2 (CVE-2026-33671), `@qdrant/js-client-rest` → ^1.18.0
    </Update>

    <Update label="2026-06-10" description="Vercel AI SDK v3.0.0">
      **Major Release**: Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.

      **Breaking Changes:**

      * **AI SDK v6:** Upgraded from AI SDK v5 (`LanguageModelV2`) to v6 (`LanguageModelV3`). Users must upgrade `ai` to `^6.0.199` and all `@ai-sdk/*` provider packages to `^3.x` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Mem0 v3 API:** Memory endpoints migrated from `/v1/memories/` and `/v2/memories/search/` to `/v3/memories/add/` and `/v3/memories/search/`. Entity IDs (`user_id`, `agent_id`, `run_id`) now go inside the `filters` object for search requests ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Graph memory removed:** All `enable_graph`, graph prompts, and relation-extraction code removed. Graph memory is now a project-level setting on the Platform ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Deprecated params removed:** `org_id`, `project_id`, `org_name`, `project_name`, `output_format`, `filter_memories`, `async_mode`, `enable_graph`, `version`, `api_version` removed from `Mem0ConfigSettings` ([#4741](https://github.com/mem0ai/mem0/pull/4741))

      **New Features:**

      * **V3 provider contract:** `specificationVersion: 'v3'`, `supportedUrls` property, V3 content array in `doGenerate`, V3 stream lifecycle events in `doStream` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Mem0 source in responses:** Memories are attached as a `source` in `generateText`/`streamText` responses with `providerMetadata.mem0.memories` for programmatic access ([#4741](https://github.com/mem0ai/mem0/pull/4741))

      **Bug Fixes:**

      * **Async memory storage:** `addMemories` is now properly `await`ed: memories no longer silently fail to store ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Prompt mutation:** Prompt array is now cloned before injecting memory context, preventing side effects on the caller's array ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Null guard on content:** `doGenerate` guards against null `content` from upstream providers ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Stream response:** `doStream` now returns the full `LanguageModelV3StreamResult` object preserving all V3 fields ([#4741](https://github.com/mem0ai/mem0/pull/4741))
      * **Response normalization:** `getMemories` and `retrieveMemories` now handle both array and `{results: [...]}` envelope responses from the v3 API ([#4741](https://github.com/mem0ai/mem0/pull/4741))
    </Update>

    <Update label="2026-06-01" description="Vercel AI SDK v2.0.6">
      **Security:**

      * **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `glob` → ^10.5.0 (CVE-2025-64756), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `picomatch` → ^2.3.2 (CVE-2026-33671), `rollup` → ^4.59.0 (CVE-2026-27606)
    </Update>

    <Update label="2026-04-02" description="mem0-plugin v1.0.0">
      **Mem0 Plugin for Claude Code, Cursor, and Codex**

      The unified Mem0 plugin for AI development environments:

      * **9 MCP memory tools:** `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`: all via `mcp.mem0.ai`
      * **Lifecycle hooks:** Automatic memory capture at session start, context compaction, task completion, and session end
      * **Cloud MCP server:** Managed endpoint replaces local MCP and Smithery setup
      * **Streamable HTTP transport:** New MCP transport protocol for real-time streaming
      * **Codex-specific skill:** Dedicated skill in `mem0-plugin/skills/mem0-codex` for Codex workflows
      * **Supported editors:** Claude Code, Claude Cowork, Cursor, Codex
    </Update>

    <Update label="2025-12-26" description="Vercel AI SDK v2.0.5">
      **Bug Fix:**

      * Removed unnecessary dependencies to make the package lighter.
    </Update>

    <Update label="2025-09-25" description="Vercel AI SDK v2.0.3 – v2.0.4">
      **New Features:**

      * Added file support for multimodal capabilities with memory context (v2.0.3)

      **Bug Fix:**

      * Fixed version parameter to use V2 for addition (v2.0.4)
    </Update>

    <Update label="2025-09-03" description="Vercel AI SDK v2.0.2">
      **Bug Fix:**

      * Fixed streaming response in the AI SDK.
    </Update>

    <Update label="2025-08-05" description="Vercel AI SDK v2.0.0 – v2.0.1">
      **New Features:**

      * Migration to AI SDK V5 (v2.0.0)
      * Added `host` param to the config (v2.0.1)
    </Update>

    <Update label="2025-06-15" description="Vercel AI SDK v1.0.6">
      **New Features:**

      * Added `filter_memories` param.
    </Update>

    <Update label="2025-05-23" description="Vercel AI SDK v1.0.5">
      **New Features:**

      * Added support for Google provider.
    </Update>

    <Update label="2025-05-10" description="Vercel AI SDK v1.0.3 – v1.0.4">
      **New Features:**

      * Added support for `output_format` param (v1.0.4)

      **Improvements:**

      * Added graceful failure handling when services are down (v1.0.3)
    </Update>

    <Update label="2025-05-01" description="Vercel AI SDK v1.0.1">
      **New Features:**

      * Added support for graph memories.
    </Update>
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