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Mem0 seamlessly integrates with popular AI frameworks and tools to enhance your LLM-based applications with persistent memory capabilities. By integrating Mem0, your applications benefit from:
  • Enhanced context management across multiple frameworks
  • Consistent memory persistence across different LLM interactions
  • Optimized token usage through efficient memory retrieval
  • Framework-agnostic memory layer
  • Simple integration with existing AI tools and frameworks
Universal Integration: Use Mem0 MCP for a standardized protocol that works with ANY AI client.
Here are the available integrations for Mem0:

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Integrations

AgentOps

Monitor and analyze Mem0 operations with comprehensive AI agent analytics and LLM observability.

Camel AI

Use Mem0Storage to persist Camel multi-agent conversations and share cloud memory across agents.

LangChain

Integrate Mem0 with LangChain to build powerful agents with memory capabilities.

LlamaIndex

Build RAG applications with LlamaIndex and Mem0.

AutoGen

Build multi-agent systems with persistent memory capabilities.

CrewAI

Develop collaborative AI agents with shared memory using CrewAI and Mem0.

LangGraph

Create complex agent workflows with memory persistence using LangGraph.

Vercel AI SDK

Build AI-powered applications with memory using the Vercel AI SDK.

LangChain Tools

Use Mem0 with LangChain Tools for enhanced agent capabilities.

Dify

Build AI applications with persistent memory using Dify and Mem0.

Livekit

Integrate Mem0 with Livekit for voice agents.

ElevenLabs

Build voice agents with memory using ElevenLabs Conversational AI.

Pipecat

Build conversational AI agents with memory using Pipecat.

Agno

Build autonomous agents with memory using Agno framework.

Keywords AI

Build AI applications with persistent memory and comprehensive LLM observability.

Raycast

Mem0 Raycast extension for intelligent memory management and retrieval.

Mastra

Build AI agents with persistent memory using Mastra’s framework and tools.