--- 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.