Product Updates

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

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

• Updated Playground Prompt
• Send Email on User Addition to Org/Proj
• Fix Search Entity

• General Stability & Performance Improvements