---
title: Overview
description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management."
---

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

<Callout type="tip" icon="puzzle-piece">
  **Universal Integration**: Use <Link href="/platform/mem0-mcp">Mem0 MCP</Link> for a standardized protocol that works with ANY AI client.
</Callout>

Here are the available integrations for Mem0:

## Integrations

<CardGroup cols={2}>
  <Card
    title="AgentOps"
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    href="/integrations/agentops"
  >
    Monitor and analyze Mem0 operations with comprehensive AI agent analytics and LLM observability.
  </Card>
  <Card
    title="Camel AI"
    href="/integrations/camel-ai"
  >
    Use Mem0Storage to persist Camel multi-agent conversations and share cloud memory across agents.
  </Card>
  <Card
    title="LangChain"
    icon={
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        <title>LangChain</title>
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    href="/integrations/langchain"
  >
    Integrate Mem0 with LangChain to build powerful agents with memory
    capabilities.
  </Card>
  <Card
    title="LlamaIndex"
    icon={
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        height="24"
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        <path
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    href="/integrations/llama-index"
  >
    Build RAG applications with LlamaIndex and Mem0.
  </Card>
  <Card
    title="AutoGen"
    icon={
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        xmlns="http://www.w3.org/2000/svg"
        width="24"
        height="24"
        viewBox="0 0 96 85"
        fill="none"
      >
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        <path
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    }
    href="/integrations/autogen"
  >
    Build multi-agent systems with persistent memory capabilities.
  </Card>
  <Card
    title="CrewAI"
    icon={
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    }
    href="/integrations/crewai"
  >
    Develop collaborative AI agents with shared memory using CrewAI and Mem0.
  </Card>
  <Card
    title="LangGraph"
    icon={
      <svg
        width="32"
        height="32"
        viewBox="0 0 63 33"
        xmlns="http://www.w3.org/2000/svg"
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        <path
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    Create complex agent workflows with memory persistence using LangGraph.
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    Build AI-powered applications with memory using the Vercel AI SDK.
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    Use Mem0 with LangChain Tools for enhanced agent capabilities.
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  <Card
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    Build AI applications with persistent memory using Dify and Mem0.
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    Integrate Mem0 with Livekit for voice agents.
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  <Card
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    Build voice agents with memory using ElevenLabs Conversational AI.
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    Build conversational AI agents with memory using Pipecat.
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    Build autonomous agents with memory using Agno framework.
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    Build AI applications with persistent memory and comprehensive LLM observability.
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    Mem0 Raycast extension for intelligent memory management and retrieval.
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  <Card
    title="Mastra"
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    Build AI agents with persistent memory using Mastra's framework and tools.
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  <Card
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    href="/integrations/claude-code"
  >
    Add persistent memory to Claude Code and Cowork with MCP server, lifecycle hooks, and SDK skill.
  </Card>
  <Card
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    Add persistent memory to Cursor with MCP server, lifecycle hooks, and context-aware coding.
  </Card>
  <Card
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  >
    Add persistent memory to OpenAI Codex with MCP server and skill-based memory protocol.
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  >
    Add long-term memory to OpenClaw agents with auto-recall and auto-capture support.
  </Card>
  <Card
    title="Hermes Agent"
    icon="bolt"
    href="/integrations/hermes"
  >
    Add long-term memory to Hermes agents with automatic background sync and zero-latency prefetch.
  </Card>
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