Product Updates

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

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

Improvements:

• Documentation:
  • Updated Livekit documentation migration
  • Updated OpenMemory hosted version documentation
• Core: Updated categorization flow
• Storage: Fixed migration issues

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

Bug Fixes:

• Vector Stores: Fixed GET_ALL functionality for FAISS and OpenSearch

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

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

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

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

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

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

New Features:

• HuggingFace: Added support for HF Inference

Bug Fixes:

• Fixed proxy for Mem0

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

Improvements:

• Client: Fixed Ping Method for using default org_id and project_id
• Documentation: Updated documentation

Bug Fixes:

• Fixed mem0-migrations issue

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

Improvements:

• Vector Stores: Initialized embedding_model_dims in all vectordbs

Bug Fixes:

• Documentation: Fixed agno link

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

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

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

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

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

Improvements:

• FAISS: Added embedding_dims parameter to FAISS vector store

New Features:

• Langchain Embedder: Added Langchain embedder integration

Improvements:

• Langchain LLM: Updated Langchain LLM integration to directly pass the Langchain object LLM

Bug Fixes:

• Langchain LLM: Fixed issues with Langchain LLM integration

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

New Features:

• FAISS Support: Added FAISS vector store support

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

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

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

Improvement :

• Client: Added immutable param to add method.

Improvement :

• Client: Made api_version V2 as default.

Improvement :

• Client: Added param filter_memories.

New Features:

• OSS: Added Cloudflare support

Improvements:

• OSS: Fixed baseURL param in LLM Config.

Improvements:

• Client: Added Async Mode Param for add method.

Improvements:

• SDK: Update Google SDK Peer Dependency Version.

Improvements:

• OSS: Added baseURL param in LLM Config.

Improvements:

• Client: Removed type string from messages interface

Improvements:

• Client: Improved error handling in client.

New Features:

• Client: Added new param output_format to match Python SDK.
• Client: Added new enum OutputFormat for v1.0 and v1.1

New Features:

• Client: Updated deleteUsers to use v2 API.
• Client: Deprecated deleteUser and added deprecation warning.

New Features:

• Client: Updated deleteUser to use entity_id and entity_type

Improvements:

• OSS SDK: Bumped version of @anthropic-ai/sdk to 0.40.1

Improvements:

• Client: Fixed organizationId and projectId being asssigned to default in ping method

Improvements:

• Client: Added support for timestamps

Improvements:

• Client: Added support for custom instructions

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

Bug Fixes:

• Azure OpenAI: Fixed issues with Azure OpenAI

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

Improvements:

• Client: Added support for Mem0 to work with Chrome Extensions

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

Improvements:

• Introuced ping method to check if API key is valid and populate org/project id

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

New Features:

• Mem0 OSS: Support infer param

Improvements:

• Updated Supabase TS Docs
• Made package size smaller

New Features:

• Supabase Vector Store Integration
• Feedback Method

New Features:

• Rate Limiting: Implemented comprehensive rate limiting system

Improvements:

• Performance: Added performance indexes for memory stats query

Bug Fixes:

• Search: Fixed search events not respecting top-k parameter

New Features:

• Memory Management: Implemented OpenAI Batch API for Memory Cleaning with fallback
• Playground: Added Claude 4 support on Playground

Improvements:

• Memory: Added ability to update memory metadata

New Features:

• UI: New Memories Page UI design

Improvements:

• Infrastructure: Migrated to Application Load Balancer (ALB)

Improvements:

• Memory Management: Enhanced Memory Management with Cosine Similarity Fallback

New Features:

• OMM: Added OMM Script and UI functionality

Improvements:

• API: Added filters validation to semantic_search_v2 endpoint

New Features:

• Intercom: Set Intercom events for ADD and SEARCH operations
• OpenMemory: Added Posthog integration and feedback functionality
• MCP: New JavaScript MCP Server with feedback support

Improvements:

• Structured Data: Enhanced structured data handling in memory management

New Features:

• OAuth: Added Mem0 OAuth integration
• OMM: Added OMM-Mem0 sync for deleted memories

New Features:

• Filters: Implemented Wildcard Filters and refactored filter logic in V2 Views

New Features:

• OpenMemory Cloud: Added OpenMemory Cloud support
• Structured Data: Added ‘structured_attributes’ field to Memory model

New Features:

• Projects: Added version and enable_graph to project views
• OpenMemory: Added Postgres support for OpenMemory

Bug Fixes:

• Core: Fixed unicode error in user_id, agent_id, run_id and app_id

New Features:

• Vercel AI SDK: Added param filter_memories.

New Features:

• Vercel AI SDK: Added support for Google provider.

New Features:

• Vercel AI SDK: Added support for new param output_format.

Improvements:

• Vercel AI SDK: Added support for graceful failure in cases services are down.

New Features:

• Vercel AI SDK: Added support for graph memories