Product Updates
📢 Announcing our research paper: Mem0 achieves 26% higher accuracy than OpenAI Memory, 91% lower latency, and 90% token savings! Read the paper to learn how we're revolutionizing AI agent memory.
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
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
Improvements:
- Client: Removed type
string
frommessages
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
forv1.0
andv1.1
New Features:
- Client: Updated
deleteUsers
to usev2
API. - Client: Deprecated
deleteUser
and added deprecation warning.
New Features:
- Client: Updated
deleteUser
to useentity_id
andentity_type
Improvements:
- OSS SDK: Bumped version of
@anthropic-ai/sdk
to0.40.1
Improvements:
- Client: Fixed
organizationId
andprojectId
being asssigned to default inping
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 fromstring
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 use2.1.12
New Features:
- Mem0 OSS: Support infer param
Improvements:
- Updated Supabase TS Docs
- Made package size smaller
New Features:
- Supabase Vector Store Integration
- Feedback Method
Bug Fixes:
- Core: Fixed unicode error in user_id, agent_id, run_id and app_id
New Features:
- Graph: Added Neo4J Graph Migration
- API: Added API to set custom instructions
New Features:
- API: Added Org-wide API Limit and Usage
Improvements:
- Database: Added migration for “is_deleted” column
- Graph: Improved graph queries
New Features:
- Lambda: Added actions to lambda
- Core: Added background runs support
- Models: Added o4-mini for pro users
New Features:
- Integrations: Added Intercom Events integration
- Billing: Added prefilled email for payments
- Organizations: Added Pro organization marking
Improvements:
- UI: Fixed loading jitter for organization selection
- Infrastructure: Improved production scaling
Improvements:
- Memory: Fixed filters in Memory Page
- Deployment: Added custom categories for on-premise
Improvements:
- Backend: Updated Django settings for metrics
- Memory: Added retries to memory filtering
- Search: Added scoring mechanism
Improvements:
- Deployment: Updated deployment scripts
- Testing: Added code coverage tracking
- Memory: Added background cron job for memory quality
New Features:
- Models: Added support for 4.1-mini model
Improvements:
- Infrastructure: Increased instance count
- API: Added V2 for Manage Entities
New Features:
- Testing: Added code coverage tracking
- AI: Added Keywords AI integration
Improvements:
- UI: Updated UI with tabs
- Database: Added migrations for custom instructions
- Search: Added criteria filtering
Improvements:
- Performance: Parallelized embedding calls
- Monitoring: Added timing for LLM calls
- Search: Added category checking in Search V2
- Bug Fixes: Fixed issues with ADD filters
- Graph: Implemented new graph updates
Improvements:
- Memory: Fixed memory export functionality
- Analytics: Added logging for project
Improvements:
- Output: Added memory_type display for ADD output
New Features:
- UI: Added new Pricing Component
- Memory: Implemented Long/Short term memory categorization
- Output: Modified serializer to hide memory_type
Documentation:
- Updated README for deployment
New Features:
- Memory: Added timestamp to ADD call
Bug Fixes:
- Fixed issues with coreV2
New Features:
- Memory: Implemented backdating with migrations and backfilling script
New Features:
- Billing: Integrated Stripe Billing Dashboard
- Admin: Added webhook creation functionality
Bug Fixes:
- Fixed Users Page issues
- Fixed Custom Categories
- Fixed Table components
- Updated Stripe configuration
Improvements:
- Performance: Made Admin panel and Memory Page faster
- Security: Implemented active session cancellation
- Analytics: Added Stripe customer ID capture
New Features:
- Memory Management:
- Added ability to delete memories from Project level with filters
- Added delete memories capability on Memories Page
- Memory Visualization: Released V1 Graph Memory Visualization
- Graph Playground: Enabled for @mem0.ai users
- Notifications: Added email alerts to organization owners when new members join
- Memory Export: Added date support for filtering memory exports
Improvements:
- Performance:
- Optimized graph for better performance
- Optimized database calls in ADD method
- Analytics: Added flagging of paid users in Posthog
- CI/CD: Improved CI pipeline and fixed lint issues
New Features:
- Notifications: Implemented email notifications for organization owners when new members join
Improvements:
- CI/CD: Fixed Dockerfile for CI tests
Improvements:
- Integrations: Updated chat model for Together Qwen
- Platform: Removed older platforms
- Bug Fixes: Fixed FILTER_MAPPING
New Features:
- Memory: Added implicit memory capabilities
- API: Improved implicit lambda and get_all v2 functionality
New Features:
- Integrations: Added Clay integration
Improvements:
- Integrations: Removed deepseek coder from Together
- API: Added custom instructions for add v2
Security:
- Validation: Added key validation in messages
- Updated Playground Prompt
- Send Email on User Addition to Org/Proj
- Fix Search Entity
- General Stability & Performance Improvements
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