Product Updates

Python

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2025-09-03

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

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2025-08-14

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

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2025-07-24

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.

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2025-07-05

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

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2025-06-30

v0.1.113

Bug Fixes:

• Gemini: Fixed Gemini embedder configuration

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2025-06-27

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

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2025-06-23

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

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2025-06-20

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

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2025-06-19

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

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2025-06-14

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

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2025-06-11

v0.1.107

Improvements:

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

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2025-06-09

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

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2025-06-03

v0.1.104

Bug Fixes:

• Vector Stores: Fixed GET_ALL functionality for FAISS and OpenSearch

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2025-06-02

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

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2025-05-26

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

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2025-05-15

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

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2025-05-10

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

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2025-05-07

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

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2025-04-30

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

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2025-04-23

v0.1.97

New Features:

• HuggingFace: Added support for HF Inference

Bug Fixes:

• Fixed proxy for Mem0

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2025-04-16

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

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2025-04-09

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

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2025-04-26

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

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2025-04-21

v0.1.93

Improvements:

• Vector Stores: Initialized embedding_model_dims in all vectordbs

Bug Fixes:

• Documentation: Fixed agno link

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2025-04-18

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

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2025-04-16

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

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2025-04-11

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

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2025-04-11

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

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2025-04-09

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

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2025-04-07

v0.1.86

Improvements:

• FAISS: Added embedding_dims parameter to FAISS vector store

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2025-04-07

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

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2025-04-07

v0.1.83

Bug Fixes:

• Langchain LLM: Fixed issues with Langchain LLM integration

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2025-04-07

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

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2025-04-02

v0.1.79

New Features:

• FAISS Support: Added FAISS vector store support

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2025-04-02

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

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2025-03-26

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

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2025-03-19

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