> ## 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.
# Highlights
> Major product launches, headline features, and milestones for Mem0.
**SDK Memory Expiration: Expiring Memories Across Python and TypeScript**
The latest SDK releases add first-class expiration controls to memory writes, updates, and reads, plus new TypeScript provider coverage for production deployments.
* **Python client updates:** `MemoryClient.update()` and `AsyncMemoryClient.update()` now accept `expiration_date`, including `None` to clear an existing expiration.
* **TypeScript client updates:** `AddMemoryOptions`, `update()`, and `Memory` now support `expirationDate`; `search()` and `getAll()` can include expired memories with `showExpired`.
* **New TypeScript LLM providers:** `MiniMaxLLM` and `LiteLLM` are now available for OpenAI-compatible MiniMax and LiteLLM proxy deployments.
* **PGVector deployment flexibility:** TypeScript PGVector config now supports `connectionString` and `ssl`, so apps can use a managed Postgres URI instead of separate connection fields.
See [SDK & Tools](/changelog/sdk) for version details and PR links.
**Mem0 Plugin: Shared Memory for Claude Code, Cursor, Codex, and Antigravity**
The shared Mem0 editor plugin is current through v0.2.11:
* **Automatic context injection:** File reads, bash errors, session resume prompts, and startup timelines can retrieve relevant memories automatically.
* **Project and global scopes:** Project-scoped memories remain the default, while `global_search` supports team-wide recall across users and app scopes.
* **Coding categories:** A 17-category coding taxonomy installs in the background and is cached per Mem0 account.
* **Reliable capture:** Auto-capture, compaction summaries, session summaries, and metadata defaults keep memories scoped and readable.
* **Editor correctness:** Telemetry now reports Claude Code, Cursor, Codex, and Antigravity separately with each editor's real plugin version.
**Antigravity Plugin: Mem0 for Google Antigravity**
Antigravity support in the shared Mem0 editor plugin family is current through v0.1.3:
* **Self-contained plugin:** Includes its own plugin manifest, MCP config, hooks, shared scripts, and skills.
* **AGENTS.md convention:** Uses Antigravity's `contextFileName: "AGENTS.md"` convention.
* **Lifecycle hooks:** Wires session start, prompt recall, file-read context, memory-tool metadata enforcement, bash-error lookup, post-tool tracking, and stop summaries.
* **Shared memory layer:** Reuses the Mem0 Platform MCP tools and the shared 16-skill command bundle.
* **Better automatic recall:** v0.1.3 adds reranked injected context and clean `files_touched` metadata in session summaries.
* **Telemetry correctness:** v0.1.2 reports Antigravity as `antigravity` with the plugin's own version.
**OpenCode Plugin: Native SDK Memory Tools for OpenCode**
`@mem0/opencode-plugin` adds memory to OpenCode and is current through v0.2.0:
* **Native SDK tools:** Memory tools register through `@opencode-ai/plugin` and call the `mem0ai` SDK directly, so the plugin no longer depends on `mcp.mem0.ai`.
* **Memory scopes:** Operations support `project`, `session`, and `global` scope, with `/mem0-scope` to change the default.
* **Automatic context:** File-context injection, structured compaction summaries, and a recent-activity timeline surface relevant memories without manual recall.
* **Auto-dream consolidation:** Gated consolidation merges duplicates, drops stale or sensitive entries, and rewrites vague memories.
* **Skills load in place:** The `config` hook adds bundled skills to `skills.paths` instead of copying them into user config directories.
* **Safety controls:** Blocks `MEMORY.md` writes and redacts secrets before storing memories.
**Pi Agent Plugin: Persistent Memory for Pi Agent**
`@mem0/pi-agent-plugin` adds semantic memory to Pi Agent and has been updated through v0.1.2:
* **Agent memory tool:** Registers `mem0_memory` for scoped search, add, get, delete, and delete-all operations.
* **Slash commands:** Adds `/mem0-remember`, `/mem0-search`, `/mem0-forget`, `/mem0-tour`, `/mem0-dream`, `/mem0-pin`, `/mem0-scope`, and `/mem0-status`.
* **Auto-capture:** Stores user and assistant memories after agent turns.
* **Dream consolidation:** Merges duplicates, resolves contradictions, and prunes stale memories behind session, time, and memory-count gates.
* **Project scoping:** Uses git-root detection for stable `app_id` values across monorepos.
* **Relevant command results:** v0.1.2 adds visible command feedback and thresholded, reranked search for search, forget, and pin commands.
**OpenClaw Plugin: Current Memory Backend for OpenClaw**
`@mem0/openclaw-mem0` is current through v1.0.13, with the original production-ready memory backend plus newer setup, security, and runtime work:
* **Skills-based memory architecture:** Triage, recall, and dream skills handle extraction, recall, consolidation, and tool guidance.
* **Chat and CLI setup:** Supports chat-based platform setup, `openclaw mem0 init`, direct API keys, email OTP, autonomous agent setup, and OSS onboarding.
* **Platform and OSS modes:** Works with Mem0 Platform or self-hosted OSS providers including OpenAI, Anthropic, Ollama, Qdrant, and PGVector.
* **Agent-friendly CLI:** All 16 CLI commands support `--json` for machine-driven setup and diagnostics.
* **Runtime integration:** Exposes OpenClaw memory capability APIs for search manager and backend config status.
* **Security and compliance:** Added path containment checks, sensitive config metadata, dependency overrides, telemetry hashing, and metadata-only registration safety.
**Vercel AI SDK Provider: Memory-Augmented Generation for AI SDK v6**
The Vercel AI SDK provider moved to the v6 provider contract and Mem0 v3 APIs:
* **AI SDK v6 support:** Migrated to `LanguageModelV3` / `ProviderV3`, including v3 stream lifecycle events and content arrays.
* **Mem0 v3 API support:** Memory writes and searches now use `/v3/memories/add/` and `/v3/memories/search/`.
* **Mem0 sources in responses:** `generateText` and `streamText` responses include memories as sources with `providerMetadata.mem0.memories`.
* **Safer prompt handling:** Prompts are cloned before memory injection, avoiding caller-side mutation.
* **Async storage fix:** `addMemories` is awaited so generated memories are not silently dropped.
* **Raw memory utilities:** Exports `searchMemories`, `retrieveMemories`, `getMemories`, and `addMemories` for apps that need direct memory control.
* **Deployment controls:** Per-request `mem0ApiKey` and `host` support Mem0 Platform, custom API keys, and self-hosted API endpoints.
**Temporal Reasoning: Time-Aware Retrieval for Platform v3**
Mem0 Platform v3 can now interpret time-aware memories and queries so assistants retrieve the right information for questions about the past, upcoming plans, and current state.
* **Search intent parsing:** Queries like `last week`, `upcoming`, `right now`, and `as of March 2025` now resolve against memory timestamps automatically.
* **Default v3 behavior:** No per-request toggle is needed for v3 writes or searches.
* **Deterministic testing:** Pass `reference_date` to anchor relative phrases in tests, backfills, and demos.
* **Stable API shape:** Temporal reasoning changes ranking, not the client response contract.
See [Temporal Reasoning](/platform/features/temporal-reasoning) for usage details.
**Memory Decay: Recently-Used Memories Surface Higher**
Per-project search-time ranking bias that boosts recently-touched memories and gently dampens stale ones. Off by default; opt in per project via the `decay` field on the project endpoint, or via `client.project.update(decay=True)` in the SDKs (Python `v2.0.2` / TypeScript `v3.0.3`).
* **Soft bias, never a filter.** The scaling factor stays in `0.3×–1.5×`. Decay can reorder candidates but never removes them; anything that surfaced before decay can still surface after.
* **Reinforcement loop.** Every memory returned in a search has its access history updated, so frequently-used facts naturally float to the top over time.
* **Public score still clamped to `[0, 1]`.** Existing API contract preserved; no client-side changes needed.
* **v3 search only**, fully reversible. See [Memory Decay docs](/platform/features/memory-decay).
**New Memory Algorithm: State-of-the-Art Accuracy at \~3-4x Lower Cost**
Ground-up rewrite of the memory pipeline with 20+ point benchmark improvements:
* **LoCoMo:** 71.4 → **91.6** (+20) for multi-turn conversation recall.
* **LongMemEval:** 67.8 → **93.4** (+26) for long-term memory across sessions.
* **BEAM (1M tokens):** **64.1** on production-scale memory evaluation.
* **Agent memories:** Assistant recall moves from 46% to **100%**.
* **Temporal reasoning:** "Where did I live before SF?" improves from 51% to **93%**.
* **Lower token use:** Retrieval stays under 7K tokens versus 25K+ for full-context approaches.
* **ADD-only extraction:** Memories accumulate; nothing is overwritten or deleted.
* **Hybrid retrieval:** Semantic search, BM25 keyword search, and entity boost are scored in parallel.
* **Graph memory (built-in)**: entities extracted, embedded, and linked across memories, with no external graph store required
Breaking changes: external graph stores removed from OSS (replaced by built-in graph memory), `search()` defaults changed, deprecated params removed. See [migration guide](/migration/oss-v2-to-v3).
**Mem0 Skill Graph: In-Context Documentation for AI Agents**
AI coding agents in Claude Code, Cursor, and Codex can now access Mem0 knowledge directly in their workflow without leaving the editor. Three interconnected skills launched:
* **mem0 Core Skill:** Python and TypeScript SDK reference, REST API patterns, and integration guides for LangChain, CrewAI, Autogen, and more.
* **mem0-cli Skill:** Terminal command reference, configuration walkthroughs, and CI/CD recipes.
* **mem0-vercel-ai-sdk Skill:** Vercel AI SDK provider API, memory-augmented generation patterns, and multi-provider setup.
**Official Mem0 CLI: Now on PyPI and npm**
A full-featured command-line interface for Mem0, available in both Python and Node.js:
* **Install:** `pip install mem0-cli` or `npm install -g @mem0/cli`
* **Full command suite:** `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`, `event`.
* **Interactive setup:** `mem0 init` supports email verification and direct API key entry.
* **Runtime coverage:** Works with Mem0 Platform and self-hosted OSS modes.
* **Automation support:** Use `--json` for CI/CD pipelines and agent workflows.
* **Dual implementation:** Same commands and behavior across Python and Node.js.
**Apache AGE, Turbopuffer, MiniMax, and pgvector for Node.js**
Major expansion of the provider ecosystem:
* **Apache AGE:** New graph store support, bringing the total to 4 graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE). **Note:** All external graph store backends (Neo4j, Memgraph, Kuzu, Apache AGE) were subsequently removed in v2.0.0 (2026-04-14). Graph memory is now built-in entity linking with no external graph store required; see the [v2.0.0 entry above](#mem0-sdk-v2-0-0-v3-0-0).
* **Turbopuffer:** New vector database provider for Python SDK.
* **MiniMax:** New LLM provider with dedicated AWS Bedrock support.
* **pgvector for Node.js:** PostgreSQL vector support added to the TypeScript OSS SDK.
* **Reasoning models:** `reasoning_effort` parameter for OpenAI o1/o3-style models.
**Mem0 Platform Skill on skills.sh**
First skill launch: a dedicated Mem0 skill providing platform API reference, quickstart patterns, and integration examples directly inside agent sessions. Available on [skills.sh](https://skills.sh) for any compatible AI coding agent.