---
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
**Universal Integration**: Use Mem0 MCP for a standardized protocol that works with ANY AI client.
Here are the available integrations for Mem0:
## Integrations
Use Mem0Storage to persist Camel multi-agent conversations and share cloud memory across agents.
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/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.
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/mastra"
>
Build AI agents with persistent memory using Mastra's framework and tools.
Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows.
Integrate Mem0 with Google Agent Development Kit for persistent memory across multi-agent workflows.
Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage.
Add persistent cloud-managed memory to ChatDev multi-agent workflows with zero-code YAML configuration.