diff --git a/docs/llms.txt b/docs/llms.txt index 1aad43d9e..dbf690120 100644 --- a/docs/llms.txt +++ b/docs/llms.txt @@ -14,11 +14,14 @@ Key differentiators: ## Getting Started - [Introduction](https://docs.mem0.ai/introduction): Overview of Mem0's memory layer for AI agents, including stateless vs stateful agents and how memory fits in the agent stack +- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard +- [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding): Single entry point for developers using AI coding tools (Claude Code, Cursor, Windsurf) with Mem0 +- [Mem0 MCP Server](https://docs.mem0.ai/platform/mem0-mcp): Model Context Protocol server for integrating Mem0 with AI coding assistants +- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options - [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Get started with Mem0 Platform (managed) in minutes +- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization - [Open Source Python Quickstart](https://docs.mem0.ai/open-source/python-quickstart): Get started with Mem0 Open Source using Python - [Open Source Node.js Quickstart](https://docs.mem0.ai/open-source/node-quickstart): Get started with Mem0 Open Source using Node.js -- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard -- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization ## Core Concepts @@ -28,20 +31,20 @@ Key differentiators: - [Memory Operations - Update](https://docs.mem0.ai/core-concepts/memory-operations/update): Modifying existing memories when new information conflicts or supplements stored data - [Memory Operations - Delete](https://docs.mem0.ai/core-concepts/memory-operations/delete): Removing outdated or irrelevant memories to maintain memory quality -## Platform (Managed Solution) +## Platform Features -- [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Complete guide to using Mem0 Platform with Python, JavaScript, and cURL examples -- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options +- [Platform Features Overview](https://docs.mem0.ai/platform/features/platform-overview): High-level overview of all Mem0 Platform capabilities - [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations): Sophisticated memory management techniques for complex applications -### Essential Platform Features -- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities +### Essential Features +- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities for memories +- [Entity-Scoped Memory](https://docs.mem0.ai/platform/features/entity-scoped-memory): Organize memories by user, agent, app, and session identifiers - [Async Client](https://docs.mem0.ai/platform/features/async-client): Non-blocking operations for high-concurrency applications +- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults - [Multimodal Support](https://docs.mem0.ai/platform/features/multimodal-support): Integration of images and documents (JPG, PNG, MDX, TXT, PDF) via URLs or Base64 - [Custom Categories](https://docs.mem0.ai/platform/features/custom-categories): Define domain-specific categories to improve memory organization -- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults -### Advanced Platform Features +### Advanced Features - [Graph Memory](https://docs.mem0.ai/platform/features/graph-memory): Build and query relationships between entities for contextually relevant retrieval - [Graph Threshold](https://docs.mem0.ai/platform/features/graph-threshold): Configure graph relationship sensitivity and strength - [Advanced Retrieval](https://docs.mem0.ai/platform/features/advanced-retrieval): Enhanced search with keyword search, reranking, and filtering capabilities @@ -59,10 +62,15 @@ Key differentiators: - [Webhooks](https://docs.mem0.ai/platform/features/webhooks): Real-time notifications for memory events - [Feedback Mechanism](https://docs.mem0.ai/platform/features/feedback-mechanism): Improve memory quality through user feedback - [Group Chat Support](https://docs.mem0.ai/platform/features/group-chat): Multi-conversation memory management +- [MCP Integration](https://docs.mem0.ai/platform/features/mcp-integration): Model Context Protocol integration for AI coding tools -### Platform Support +### Support & Migration - [FAQs](https://docs.mem0.ai/platform/faqs): Frequently asked questions about Mem0 Platform - [Contribute Guide](https://docs.mem0.ai/platform/contribute): Contributing to Mem0 Platform development +- [OSS to Platform Migration](https://docs.mem0.ai/migration/oss-to-platform): Guide for migrating from open-source to managed platform +- [V0 to V1 Migration](https://docs.mem0.ai/migration/v0-to-v1): Upgrading from Mem0 v0 to v1 +- [Breaking Changes](https://docs.mem0.ai/migration/breaking-changes): List of breaking changes across versions +- [API Changes](https://docs.mem0.ai/migration/api-changes): Detailed API changes and migration paths ## Open Source @@ -72,93 +80,130 @@ Key differentiators: - [Configuration Guide](https://docs.mem0.ai/open-source/configuration): Complete configuration options for self-hosted deployment ### Open Source Features -- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs -- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation +- [Features Overview](https://docs.mem0.ai/open-source/features/overview): Overview of all open-source features - [Graph Memory](https://docs.mem0.ai/open-source/features/graph-memory): Build and query entity relationships using graph stores like Neo4j - [Metadata Filtering](https://docs.mem0.ai/open-source/features/metadata-filtering): Advanced filtering using custom metadata fields - [Reranker Search](https://docs.mem0.ai/open-source/features/reranker-search): Enhanced search results with reranking models - [Async Memory](https://docs.mem0.ai/open-source/features/async-memory): Asynchronous memory operations for better performance - [Multimodal Support](https://docs.mem0.ai/open-source/features/multimodal-support): Handle text, images, and documents in self-hosted setup - -### Customization - [Custom Fact Extraction](https://docs.mem0.ai/open-source/features/custom-fact-extraction-prompt): Tailor information extraction for specific use cases - [Custom Memory Update Prompt](https://docs.mem0.ai/open-source/features/custom-update-memory-prompt): Customize how memories are updated and merged +- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation +- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs ## Components +### LLMs - [LLM Overview](https://docs.mem0.ai/components/llms/overview): Comprehensive guide to Large Language Model integration and configuration options -- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage -- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding - -### Supported LLMs - -- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4 and structured outputs +- [LLM Configuration](https://docs.mem0.ai/components/llms/config): Configuration reference for LLM providers +- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4 - [Anthropic](https://docs.mem0.ai/components/llms/models/anthropic): Claude model integration with advanced reasoning capabilities -- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications -- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference -- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration - [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure_openai): Microsoft Azure hosted OpenAI models for enterprise environments - [Ollama](https://docs.mem0.ai/components/llms/models/ollama): Local model deployment for privacy-focused applications -- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework -- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment - [Together](https://docs.mem0.ai/components/llms/models/together): Open-source model inference platform -- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models -- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models -- [XAI](https://docs.mem0.ai/components/llms/models/xAI): xAI models integration +- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference - [LiteLLM](https://docs.mem0.ai/components/llms/models/litellm): Unified LLM interface and proxy -- [LangChain](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration -- [OpenAI Structured](https://docs.mem0.ai/components/llms/models/openai_structured): OpenAI with structured output support -- [Azure OpenAI Structured](https://docs.mem0.ai/components/llms/models/azure_openai_structured): Azure OpenAI with structured outputs - -### Supported Vector Databases +- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral_AI): Mistral model integration +- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications +- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration +- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models +- [MiniMax](https://docs.mem0.ai/components/llms/models/minimax): MiniMax model integration +- [xAI](https://docs.mem0.ai/components/llms/models/xAI): xAI Grok models integration +- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models +- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment +- [LangChain LLM](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration +- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework +### Vector Databases +- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage +- [Vector Database Configuration](https://docs.mem0.ai/components/vectordbs/config): Configuration reference for vector database providers - [Qdrant](https://docs.mem0.ai/components/vectordbs/dbs/qdrant): High-performance vector similarity search engine -- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options - [Chroma](https://docs.mem0.ai/components/vectordbs/dbs/chroma): AI-native open-source vector database optimized for speed -- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities - [PGVector](https://docs.mem0.ai/components/vectordbs/dbs/pgvector): PostgreSQL extension for vector similarity search - [Milvus](https://docs.mem0.ai/components/vectordbs/dbs/milvus): Open-source vector database for AI applications at scale -- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack -- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support -- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database -- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine -- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform -- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library +- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options - [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb): Document database with vector search capabilities - [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure): Microsoft's enterprise search service +- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql): Azure Database for MySQL with vector search +- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack +- [Valkey](https://docs.mem0.ai/components/vectordbs/dbs/valkey): Open-source Redis alternative with vector search +- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine +- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform +- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support +- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database +- [Vectorize](https://docs.mem0.ai/components/vectordbs/dbs/vectorize): Vectorize vector database integration - [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex_ai): Google Cloud's vector search service -- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search +- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities +- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library +- [LangChain Vector Store](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration - [Baidu](https://docs.mem0.ai/components/vectordbs/dbs/baidu): Baidu vector database integration -- [LangChain](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration +- [Cassandra](https://docs.mem0.ai/components/vectordbs/dbs/cassandra): Apache Cassandra with vector search capabilities - [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3_vectors): Amazon S3 Vectors integration +- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search +- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune_analytics): AWS Neptune Analytics for graph and vector search +- [Turbopuffer](https://docs.mem0.ai/components/vectordbs/dbs/turbopuffer): High-performance serverless vector database -### Supported Embeddings - +### Embedding Models +- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding +- [Embeddings Configuration](https://docs.mem0.ai/components/embedders/config): Configuration reference for embedding providers - [OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/openai): High-quality text embeddings with customizable dimensions - [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure_openai): Enterprise Azure-hosted embedding models -- [Google AI](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models -- [AWS Bedrock](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock -- [Hugging Face](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment -- [Vertex AI](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models -- [Ollama](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications -- [Together](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings -- [LM Studio](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings -- [LangChain](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration +- [Ollama Embeddings](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications +- [Hugging Face Embeddings](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment +- [Vertex AI Embeddings](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models +- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models +- [LM Studio Embeddings](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings +- [Together Embeddings](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings +- [LangChain Embeddings](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration +- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock + +### Rerankers +- [Reranker Overview](https://docs.mem0.ai/components/rerankers/overview): Guide to reranking models for improving search result quality +- [Reranker Configuration](https://docs.mem0.ai/components/rerankers/config): Configuration reference for reranker providers +- [Reranker Optimization](https://docs.mem0.ai/components/rerankers/optimization): Performance tuning and optimization strategies for rerankers +- [Custom Reranker Prompts](https://docs.mem0.ai/components/rerankers/custom-prompts): Customize reranker behavior with custom prompts +- [Cohere Reranker](https://docs.mem0.ai/components/rerankers/models/cohere): Cohere reranking model integration +- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence_transformer): Cross-encoder reranking with sentence transformers +- [Hugging Face Reranker](https://docs.mem0.ai/components/rerankers/models/huggingface): Hugging Face reranking models +- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm_reranker): Use LLMs as rerankers for flexible relevance scoring +- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero_entropy): Zero Entropy reranking model ## Integrations +- [Integrations Overview](https://docs.mem0.ai/integrations): Overview of all available Mem0 integrations + +### Agent Frameworks - [LangChain](https://docs.mem0.ai/integrations/langchain): Seamless integration with LangChain framework for enhanced agent capabilities - [LangGraph](https://docs.mem0.ai/integrations/langgraph): Build stateful, multi-actor applications with persistent memory - [LlamaIndex](https://docs.mem0.ai/integrations/llama-index): Enhanced RAG applications with intelligent memory layer - [CrewAI](https://docs.mem0.ai/integrations/crewai): Multi-agent systems with shared and individual memory capabilities - [AutoGen](https://docs.mem0.ai/integrations/autogen): Microsoft's multi-agent conversation framework with memory +- [Agno](https://docs.mem0.ai/integrations/agno): Agno framework integration with persistent memory +- [Camel AI](https://docs.mem0.ai/integrations/camel-ai): Camel AI multi-agent framework with memory support +- [OpenClaw](https://docs.mem0.ai/integrations/openclaw): OpenClaw framework integration +- [OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk): OpenAI's agent framework with Mem0 memory +- [Google AI ADK](https://docs.mem0.ai/integrations/google-ai-adk): Google AI Agent Development Kit with persistent memory +- [Mastra](https://docs.mem0.ai/integrations/mastra): Mastra TypeScript agent framework integration - [Vercel AI SDK](https://docs.mem0.ai/integrations/vercel-ai-sdk): Build AI-powered web applications with persistent memory -- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities + +### Voice & Real-time +- [LiveKit](https://docs.mem0.ai/integrations/livekit): Real-time voice and video AI with persistent memory +- [Pipecat](https://docs.mem0.ai/integrations/pipecat): Voice AI pipeline framework with memory capabilities +- [ElevenLabs](https://docs.mem0.ai/integrations/elevenlabs): Voice synthesis integration with conversational memory + +### Cloud & Infrastructure +- [AWS Bedrock](https://docs.mem0.ai/integrations/aws-bedrock): Enterprise AWS integration for managed AI services + +### Developer Tools - [Dify](https://docs.mem0.ai/integrations/dify): LLMOps platform integration for production AI applications +- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities +- [LangChain Tools](https://docs.mem0.ai/integrations/langchain-tools): Use Mem0 as a LangChain tool for agents +- [AgentOps](https://docs.mem0.ai/integrations/agentops): Agent observability and monitoring with memory tracking +- [Keywords AI](https://docs.mem0.ai/integrations/keywords): Keywords AI integration for LLM monitoring +- [Raycast](https://docs.mem0.ai/integrations/raycast): Raycast extension for quick memory access ## Cookbooks and Examples -### Cookbooks Overview - [Cookbooks Overview](https://docs.mem0.ai/cookbooks/overview): Complete guide to Mem0 examples and implementation patterns ### Essential Guides @@ -171,12 +216,13 @@ Key differentiators: - [Choosing Memory Architecture](https://docs.mem0.ai/cookbooks/essentials/choosing-memory-architecture-vector-vs-graph): Vector vs Graph memory architectures comparison ### AI Companion Examples +- [Quickstart Demo](https://docs.mem0.ai/cookbooks/companions/quickstart-demo): Quick demo of building an AI companion with memory +- [Node.js Companion](https://docs.mem0.ai/cookbooks/companions/nodejs-companion): JavaScript-based AI companion applications - [AI Tutor](https://docs.mem0.ai/cookbooks/companions/ai-tutor): Educational AI that adapts to learning progress - [Travel Assistant](https://docs.mem0.ai/cookbooks/companions/travel-assistant): Travel planning agent that learns preferences +- [YouTube Research Assistant](https://docs.mem0.ai/cookbooks/companions/youtube-research): AI that researches and learns from video content - [Voice Companion](https://docs.mem0.ai/cookbooks/companions/voice-companion-openai): Voice-enabled AI with conversational memory - [Local Companion](https://docs.mem0.ai/cookbooks/companions/local-companion-ollama): Privacy-focused companion using local models -- [Node.js Companion](https://docs.mem0.ai/cookbooks/companions/nodejs-companion): JavaScript-based AI companion applications -- [YouTube Research Assistant](https://docs.mem0.ai/cookbooks/companions/youtube-research): AI that researches and learns from video content ### Operations & Automation - [Support Inbox](https://docs.mem0.ai/cookbooks/operations/support-inbox): Customer service agents with conversation history @@ -186,30 +232,77 @@ Key differentiators: - [Team Task Agent](https://docs.mem0.ai/cookbooks/operations/team-task-agent): Collaborative AI agents with shared project memory ### Integration Examples +- [Agents SDK Tool](https://docs.mem0.ai/cookbooks/integrations/agents-sdk-tool): Using Mem0 as a tool with OpenAI Agents SDK - [OpenAI Tool Calls](https://docs.mem0.ai/cookbooks/integrations/openai-tool-calls): Mem0 integrated with OpenAI function calling -- [AWS Bedrock](https://docs.mem0.ai/cookbooks/integrations/aws-bedrock): Enterprise memory with AWS managed services -- [Tavily Search](https://docs.mem0.ai/cookbooks/integrations/tavily-search): Web search with persistent memory of results -- [Healthcare Google ADK](https://docs.mem0.ai/cookbooks/integrations/healthcare-google-adk): Medical AI applications with memory - [Mastra Agent](https://docs.mem0.ai/cookbooks/integrations/mastra-agent): Mastra framework integration with memory +- [Healthcare Google ADK](https://docs.mem0.ai/cookbooks/integrations/healthcare-google-adk): Medical AI applications with memory +- [AWS Bedrock](https://docs.mem0.ai/cookbooks/integrations/aws-bedrock): Enterprise memory with AWS managed services +- [Neptune Analytics](https://docs.mem0.ai/cookbooks/integrations/neptune-analytics): Graph and vector search with AWS Neptune +- [Tavily Search](https://docs.mem0.ai/cookbooks/integrations/tavily-search): Web search with persistent memory of results ### Framework Examples - [LlamaIndex React](https://docs.mem0.ai/cookbooks/frameworks/llamaindex-react): React applications with LlamaIndex and memory - [LlamaIndex Multiagent](https://docs.mem0.ai/cookbooks/frameworks/llamaindex-multiagent): Multi-agent systems with shared memory +- [Multimodal Retrieval](https://docs.mem0.ai/cookbooks/frameworks/multimodal-retrieval): Memory systems handling text, images, and documents - [Eliza OS Character](https://docs.mem0.ai/cookbooks/frameworks/eliza-os-character): Character-based AI with persistent personality - [Chrome Extension](https://docs.mem0.ai/cookbooks/frameworks/chrome-extension): Browser extensions that remember user interactions -- [Multimodal Retrieval](https://docs.mem0.ai/cookbooks/frameworks/multimodal-retrieval): Memory systems handling text, images, and documents +- [Gemini with Mem0 MCP](https://docs.mem0.ai/cookbooks/frameworks/gemini-3-with-mem0-mcp): Google Gemini integration using MCP server +- [Mirofish Swarm Memory](https://docs.mem0.ai/cookbooks/frameworks/mirofish-swarm-memory): Swarm-based multi-agent memory patterns ## API Reference -- [Memory APIs](https://docs.mem0.ai/api-reference/memory/add-memories): Comprehensive API documentation for memory operations +- [API Reference Overview](https://docs.mem0.ai/api-reference): REST API overview with authentication and quick start guide +- [Organizations & Projects](https://docs.mem0.ai/api-reference/organizations-projects): Managing organizations and projects for multi-tenant setups + +### Core Memory APIs - [Add Memories](https://docs.mem0.ai/api-reference/memory/add-memories): REST API for storing new memories with detailed request/response formats -- [Search Memories](https://docs.mem0.ai/api-reference/memory/search-memories): Advanced search API with filtering and ranking capabilities - [Get All Memories](https://docs.mem0.ai/api-reference/memory/get-memories): Retrieve all memories with pagination and filtering options +- [Search Memories](https://docs.mem0.ai/api-reference/memory/search-memories): Advanced search API with filtering and ranking capabilities - [Update Memory](https://docs.mem0.ai/api-reference/memory/update-memory): Modify existing memories with conflict resolution -- [Delete Memory](https://docs.mem0.ai/api-reference/memory/delete-memory): Remove memories individually or in batches +- [Delete Memory](https://docs.mem0.ai/api-reference/memory/delete-memory): Remove a specific memory by ID -## Optional +### Additional Memory APIs +- [Create Memory Export](https://docs.mem0.ai/api-reference/memory/create-memory-export): Export memories in bulk +- [Feedback](https://docs.mem0.ai/api-reference/memory/feedback): Submit feedback on memory quality +- [Get Memory](https://docs.mem0.ai/api-reference/memory/get-memory): Retrieve a single memory by ID +- [Memory History](https://docs.mem0.ai/api-reference/memory/history-memory): View the history of changes to a memory +- [Get Memory Export](https://docs.mem0.ai/api-reference/memory/get-memory-export): Retrieve a previously created memory export +- [Batch Update](https://docs.mem0.ai/api-reference/memory/batch-update): Update multiple memories in a single request +- [Batch Delete](https://docs.mem0.ai/api-reference/memory/batch-delete): Delete multiple memories in a single request +- [Delete All Memories](https://docs.mem0.ai/api-reference/memory/delete-memories): Remove all memories matching criteria -- [FAQs](https://docs.mem0.ai/platform/faqs): Frequently asked questions about Mem0's Platform capabilities and implementation details -- [Changelog](https://docs.mem0.ai/changelog): Detailed product updates and version history for tracking new features and improvements -- [Contributing Guide](https://docs.mem0.ai/contributing/development): Guidelines for contributing to Mem0's open-source development +### Events APIs +- [Get Events](https://docs.mem0.ai/api-reference/events/get-events): List asynchronous memory operation events +- [Get Event](https://docs.mem0.ai/api-reference/events/get-event): Retrieve details of a specific event + +### Entities APIs +- [Get Users](https://docs.mem0.ai/api-reference/entities/get-users): List all entities (users, agents, apps) +- [Delete User](https://docs.mem0.ai/api-reference/entities/delete-user): Remove an entity and all associated memories + +### Organizations APIs +- [Create Organization](https://docs.mem0.ai/api-reference/organization/create-org): Create a new organization +- [Get Organizations](https://docs.mem0.ai/api-reference/organization/get-orgs): List all organizations +- [Get Organization](https://docs.mem0.ai/api-reference/organization/get-org): Retrieve organization details +- [Get Organization Members](https://docs.mem0.ai/api-reference/organization/get-org-members): List organization members +- [Add Organization Member](https://docs.mem0.ai/api-reference/organization/add-org-member): Add a member to an organization +- [Delete Organization](https://docs.mem0.ai/api-reference/organization/delete-org): Remove an organization + +### Project APIs +- [Create Project](https://docs.mem0.ai/api-reference/project/create-project): Create a new project within an organization +- [Get Projects](https://docs.mem0.ai/api-reference/project/get-projects): List all projects +- [Get Project](https://docs.mem0.ai/api-reference/project/get-project): Retrieve project details +- [Get Project Members](https://docs.mem0.ai/api-reference/project/get-project-members): List project members +- [Add Project Member](https://docs.mem0.ai/api-reference/project/add-project-member): Add a member to a project +- [Delete Project](https://docs.mem0.ai/api-reference/project/delete-project): Remove a project + +### Webhook APIs +- [Create Webhook](https://docs.mem0.ai/api-reference/webhook/create-webhook): Register a new webhook endpoint +- [Get Webhook](https://docs.mem0.ai/api-reference/webhook/get-webhook): Retrieve webhook configuration +- [Update Webhook](https://docs.mem0.ai/api-reference/webhook/update-webhook): Modify webhook settings +- [Delete Webhook](https://docs.mem0.ai/api-reference/webhook/delete-webhook): Remove a webhook + +## Community & Support + +- [Contributing - Development](https://docs.mem0.ai/contributing/development): Guidelines for contributing to Mem0's open-source development +- [Contributing - Documentation](https://docs.mem0.ai/contributing/documentation): Guidelines for contributing to Mem0's documentation +- [Changelog](https://docs.mem0.ai/changelog): Detailed product updates and version history