---
title: Overview
description: How to integrate Mem0 into other frameworks
---

<Snippet file="blank-notif.mdx" />

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

Here are the available integrations for Mem0:

## Integrations

<CardGroup cols={2}>
  <Card
    title="AgentOps"
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  >
    Monitor and analyze Mem0 operations with comprehensive AI agent analytics and LLM observability.
  </Card>
  <Card
    title="LangChain"
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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.
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  <Card
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    href="/integrations/llama-index"
  >
    Build RAG applications with LlamaIndex and Mem0.
  </Card>
  <Card
    title="AutoGen"
    icon={
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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={
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    Create complex agent workflows with memory persistence using LangGraph.
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  <Card
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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.
  </Card>
  <Card
    title="Dify"
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    Build AI applications with persistent memory using Dify and Mem0.
  </Card>
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    Integrate Mem0 as an MCP Server in Cursor.
  </Card>
  <Card
    title="Livekit"
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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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    title="Raycast"
    icon={
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    Mem0 Raycast extension for intelligent memory management and retrieval.
  </Card>
  <Card
    title="Mastra"
    icon={
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        xmlns="http://www.w3.org/2000/svg"
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    Build AI agents with persistent memory using Mastra's framework and tools.
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