---
title: Overview
description: How to integrate Mem0 into other frameworks
---
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
LangChain
}
href="/integrations/langchain"
>
Integrate Mem0 with LangChain to build powerful agents with memory
capabilities.
}
href="/integrations/llama-index"
>
Build RAG applications with LlamaIndex and Mem0.
}
href="/integrations/autogen"
>
Build multi-agent systems with persistent memory capabilities.
}
href="/integrations/crewai"
>
Develop collaborative AI agents with shared memory using CrewAI and Mem0.
}
href="/integrations/langgraph"
>
Create complex agent workflows with memory persistence using LangGraph.
}
href="/integrations/vercel-ai-sdk"
>
Build AI-powered applications with memory using the Vercel AI SDK.
LangChain
}
href="/integrations/langchain-tools"
>
Use Mem0 with LangChain Tools for enhanced agent capabilities.
}
href="/integrations/dify"
>
Build AI applications with persistent memory using Dify and Mem0.
}
href="/integrations/mcp-server"
>
Integrate Mem0 as an MCP Server in Cursor.
LK
}
href="/integrations/livekit"
>
Integrate Mem0 with Livekit for voice agents.
}
href="/integrations/elevenlabs"
>
Build voice agents with memory using ElevenLabs Conversational AI.
}
href="/integrations/pipecat"
>
Build conversational AI agents with memory using Pipecat.
}
href="/integrations/agno"
>
Build autonomous agents with memory using Agno framework.
}
href="/integrations/keywords"
>
Build AI applications with persistent memory and comprehensive LLM observability.