docs: add navigation links for platform features in docs (#4572)
This commit is contained in:
Kartik
+161
-68
@@ -14,11 +14,14 @@ Key differentiators:
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## Getting Started
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- [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
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- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard
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- [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding): Single entry point for developers using AI coding tools (Claude Code, Cursor, Windsurf) with Mem0
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- [Mem0 MCP Server](https://docs.mem0.ai/platform/mem0-mcp): Model Context Protocol server for integrating Mem0 with AI coding assistants
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- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options
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- [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Get started with Mem0 Platform (managed) in minutes
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- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization
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- [Open Source Python Quickstart](https://docs.mem0.ai/open-source/python-quickstart): Get started with Mem0 Open Source using Python
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- [Open Source Node.js Quickstart](https://docs.mem0.ai/open-source/node-quickstart): Get started with Mem0 Open Source using Node.js
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- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard
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- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization
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## Core Concepts
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@@ -28,20 +31,20 @@ Key differentiators:
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- [Memory Operations - Update](https://docs.mem0.ai/core-concepts/memory-operations/update): Modifying existing memories when new information conflicts or supplements stored data
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- [Memory Operations - Delete](https://docs.mem0.ai/core-concepts/memory-operations/delete): Removing outdated or irrelevant memories to maintain memory quality
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## Platform (Managed Solution)
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## Platform Features
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- [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Complete guide to using Mem0 Platform with Python, JavaScript, and cURL examples
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- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options
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- [Platform Features Overview](https://docs.mem0.ai/platform/features/platform-overview): High-level overview of all Mem0 Platform capabilities
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- [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations): Sophisticated memory management techniques for complex applications
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### Essential Platform Features
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- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities
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### Essential Features
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- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities for memories
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- [Entity-Scoped Memory](https://docs.mem0.ai/platform/features/entity-scoped-memory): Organize memories by user, agent, app, and session identifiers
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- [Async Client](https://docs.mem0.ai/platform/features/async-client): Non-blocking operations for high-concurrency applications
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- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults
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- [Multimodal Support](https://docs.mem0.ai/platform/features/multimodal-support): Integration of images and documents (JPG, PNG, MDX, TXT, PDF) via URLs or Base64
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- [Custom Categories](https://docs.mem0.ai/platform/features/custom-categories): Define domain-specific categories to improve memory organization
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- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults
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### Advanced Platform Features
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### Advanced Features
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- [Graph Memory](https://docs.mem0.ai/platform/features/graph-memory): Build and query relationships between entities for contextually relevant retrieval
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- [Graph Threshold](https://docs.mem0.ai/platform/features/graph-threshold): Configure graph relationship sensitivity and strength
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- [Advanced Retrieval](https://docs.mem0.ai/platform/features/advanced-retrieval): Enhanced search with keyword search, reranking, and filtering capabilities
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@@ -59,10 +62,15 @@ Key differentiators:
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- [Webhooks](https://docs.mem0.ai/platform/features/webhooks): Real-time notifications for memory events
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- [Feedback Mechanism](https://docs.mem0.ai/platform/features/feedback-mechanism): Improve memory quality through user feedback
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- [Group Chat Support](https://docs.mem0.ai/platform/features/group-chat): Multi-conversation memory management
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- [MCP Integration](https://docs.mem0.ai/platform/features/mcp-integration): Model Context Protocol integration for AI coding tools
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### Platform Support
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### Support & Migration
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- [FAQs](https://docs.mem0.ai/platform/faqs): Frequently asked questions about Mem0 Platform
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- [Contribute Guide](https://docs.mem0.ai/platform/contribute): Contributing to Mem0 Platform development
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- [OSS to Platform Migration](https://docs.mem0.ai/migration/oss-to-platform): Guide for migrating from open-source to managed platform
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- [V0 to V1 Migration](https://docs.mem0.ai/migration/v0-to-v1): Upgrading from Mem0 v0 to v1
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- [Breaking Changes](https://docs.mem0.ai/migration/breaking-changes): List of breaking changes across versions
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- [API Changes](https://docs.mem0.ai/migration/api-changes): Detailed API changes and migration paths
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## Open Source
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@@ -72,93 +80,130 @@ Key differentiators:
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- [Configuration Guide](https://docs.mem0.ai/open-source/configuration): Complete configuration options for self-hosted deployment
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### Open Source Features
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- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs
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- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation
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- [Features Overview](https://docs.mem0.ai/open-source/features/overview): Overview of all open-source features
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- [Graph Memory](https://docs.mem0.ai/open-source/features/graph-memory): Build and query entity relationships using graph stores like Neo4j
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- [Metadata Filtering](https://docs.mem0.ai/open-source/features/metadata-filtering): Advanced filtering using custom metadata fields
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- [Reranker Search](https://docs.mem0.ai/open-source/features/reranker-search): Enhanced search results with reranking models
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- [Async Memory](https://docs.mem0.ai/open-source/features/async-memory): Asynchronous memory operations for better performance
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- [Multimodal Support](https://docs.mem0.ai/open-source/features/multimodal-support): Handle text, images, and documents in self-hosted setup
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### Customization
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- [Custom Fact Extraction](https://docs.mem0.ai/open-source/features/custom-fact-extraction-prompt): Tailor information extraction for specific use cases
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- [Custom Memory Update Prompt](https://docs.mem0.ai/open-source/features/custom-update-memory-prompt): Customize how memories are updated and merged
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- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation
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- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs
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## Components
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### LLMs
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- [LLM Overview](https://docs.mem0.ai/components/llms/overview): Comprehensive guide to Large Language Model integration and configuration options
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- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage
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- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding
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### Supported LLMs
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- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4 and structured outputs
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- [LLM Configuration](https://docs.mem0.ai/components/llms/config): Configuration reference for LLM providers
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- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4
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- [Anthropic](https://docs.mem0.ai/components/llms/models/anthropic): Claude model integration with advanced reasoning capabilities
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- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications
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- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference
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- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration
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- [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure_openai): Microsoft Azure hosted OpenAI models for enterprise environments
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- [Ollama](https://docs.mem0.ai/components/llms/models/ollama): Local model deployment for privacy-focused applications
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- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework
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- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment
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- [Together](https://docs.mem0.ai/components/llms/models/together): Open-source model inference platform
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- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models
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- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models
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- [XAI](https://docs.mem0.ai/components/llms/models/xAI): xAI models integration
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- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference
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- [LiteLLM](https://docs.mem0.ai/components/llms/models/litellm): Unified LLM interface and proxy
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- [LangChain](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration
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- [OpenAI Structured](https://docs.mem0.ai/components/llms/models/openai_structured): OpenAI with structured output support
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- [Azure OpenAI Structured](https://docs.mem0.ai/components/llms/models/azure_openai_structured): Azure OpenAI with structured outputs
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### Supported Vector Databases
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- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral_AI): Mistral model integration
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- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications
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- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration
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- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models
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- [MiniMax](https://docs.mem0.ai/components/llms/models/minimax): MiniMax model integration
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- [xAI](https://docs.mem0.ai/components/llms/models/xAI): xAI Grok models integration
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- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models
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- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment
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- [LangChain LLM](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration
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- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework
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### Vector Databases
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- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage
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- [Vector Database Configuration](https://docs.mem0.ai/components/vectordbs/config): Configuration reference for vector database providers
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- [Qdrant](https://docs.mem0.ai/components/vectordbs/dbs/qdrant): High-performance vector similarity search engine
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- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options
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- [Chroma](https://docs.mem0.ai/components/vectordbs/dbs/chroma): AI-native open-source vector database optimized for speed
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- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities
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- [PGVector](https://docs.mem0.ai/components/vectordbs/dbs/pgvector): PostgreSQL extension for vector similarity search
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- [Milvus](https://docs.mem0.ai/components/vectordbs/dbs/milvus): Open-source vector database for AI applications at scale
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- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack
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- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support
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- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database
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- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine
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- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform
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- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library
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- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options
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- [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb): Document database with vector search capabilities
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- [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure): Microsoft's enterprise search service
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- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql): Azure Database for MySQL with vector search
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- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack
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- [Valkey](https://docs.mem0.ai/components/vectordbs/dbs/valkey): Open-source Redis alternative with vector search
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- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine
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- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform
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- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support
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- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database
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- [Vectorize](https://docs.mem0.ai/components/vectordbs/dbs/vectorize): Vectorize vector database integration
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- [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex_ai): Google Cloud's vector search service
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- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search
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- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities
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- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library
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- [LangChain Vector Store](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration
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- [Baidu](https://docs.mem0.ai/components/vectordbs/dbs/baidu): Baidu vector database integration
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- [LangChain](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration
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- [Cassandra](https://docs.mem0.ai/components/vectordbs/dbs/cassandra): Apache Cassandra with vector search capabilities
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- [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3_vectors): Amazon S3 Vectors integration
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- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search
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- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune_analytics): AWS Neptune Analytics for graph and vector search
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- [Turbopuffer](https://docs.mem0.ai/components/vectordbs/dbs/turbopuffer): High-performance serverless vector database
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### Supported Embeddings
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### Embedding Models
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- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding
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- [Embeddings Configuration](https://docs.mem0.ai/components/embedders/config): Configuration reference for embedding providers
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- [OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/openai): High-quality text embeddings with customizable dimensions
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- [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure_openai): Enterprise Azure-hosted embedding models
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- [Google AI](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models
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- [AWS Bedrock](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock
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- [Hugging Face](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment
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- [Vertex AI](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models
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- [Ollama](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications
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- [Together](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings
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- [LM Studio](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings
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- [LangChain](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration
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- [Ollama Embeddings](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications
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- [Hugging Face Embeddings](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment
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- [Vertex AI Embeddings](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models
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- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models
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- [LM Studio Embeddings](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings
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- [Together Embeddings](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings
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- [LangChain Embeddings](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration
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- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock
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### Rerankers
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- [Reranker Overview](https://docs.mem0.ai/components/rerankers/overview): Guide to reranking models for improving search result quality
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- [Reranker Configuration](https://docs.mem0.ai/components/rerankers/config): Configuration reference for reranker providers
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- [Reranker Optimization](https://docs.mem0.ai/components/rerankers/optimization): Performance tuning and optimization strategies for rerankers
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- [Custom Reranker Prompts](https://docs.mem0.ai/components/rerankers/custom-prompts): Customize reranker behavior with custom prompts
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- [Cohere Reranker](https://docs.mem0.ai/components/rerankers/models/cohere): Cohere reranking model integration
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- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence_transformer): Cross-encoder reranking with sentence transformers
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- [Hugging Face Reranker](https://docs.mem0.ai/components/rerankers/models/huggingface): Hugging Face reranking models
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- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm_reranker): Use LLMs as rerankers for flexible relevance scoring
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- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero_entropy): Zero Entropy reranking model
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## Integrations
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- [Integrations Overview](https://docs.mem0.ai/integrations): Overview of all available Mem0 integrations
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### Agent Frameworks
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- [LangChain](https://docs.mem0.ai/integrations/langchain): Seamless integration with LangChain framework for enhanced agent capabilities
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- [LangGraph](https://docs.mem0.ai/integrations/langgraph): Build stateful, multi-actor applications with persistent memory
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- [LlamaIndex](https://docs.mem0.ai/integrations/llama-index): Enhanced RAG applications with intelligent memory layer
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- [CrewAI](https://docs.mem0.ai/integrations/crewai): Multi-agent systems with shared and individual memory capabilities
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- [AutoGen](https://docs.mem0.ai/integrations/autogen): Microsoft's multi-agent conversation framework with memory
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- [Agno](https://docs.mem0.ai/integrations/agno): Agno framework integration with persistent memory
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- [Camel AI](https://docs.mem0.ai/integrations/camel-ai): Camel AI multi-agent framework with memory support
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- [OpenClaw](https://docs.mem0.ai/integrations/openclaw): OpenClaw framework integration
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- [OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk): OpenAI's agent framework with Mem0 memory
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- [Google AI ADK](https://docs.mem0.ai/integrations/google-ai-adk): Google AI Agent Development Kit with persistent memory
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- [Mastra](https://docs.mem0.ai/integrations/mastra): Mastra TypeScript agent framework integration
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- [Vercel AI SDK](https://docs.mem0.ai/integrations/vercel-ai-sdk): Build AI-powered web applications with persistent memory
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- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities
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### Voice & Real-time
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- [LiveKit](https://docs.mem0.ai/integrations/livekit): Real-time voice and video AI with persistent memory
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- [Pipecat](https://docs.mem0.ai/integrations/pipecat): Voice AI pipeline framework with memory capabilities
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- [ElevenLabs](https://docs.mem0.ai/integrations/elevenlabs): Voice synthesis integration with conversational memory
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### Cloud & Infrastructure
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- [AWS Bedrock](https://docs.mem0.ai/integrations/aws-bedrock): Enterprise AWS integration for managed AI services
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### Developer Tools
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- [Dify](https://docs.mem0.ai/integrations/dify): LLMOps platform integration for production AI applications
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- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities
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- [LangChain Tools](https://docs.mem0.ai/integrations/langchain-tools): Use Mem0 as a LangChain tool for agents
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- [AgentOps](https://docs.mem0.ai/integrations/agentops): Agent observability and monitoring with memory tracking
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- [Keywords AI](https://docs.mem0.ai/integrations/keywords): Keywords AI integration for LLM monitoring
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- [Raycast](https://docs.mem0.ai/integrations/raycast): Raycast extension for quick memory access
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## Cookbooks and Examples
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### Cookbooks Overview
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- [Cookbooks Overview](https://docs.mem0.ai/cookbooks/overview): Complete guide to Mem0 examples and implementation patterns
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### 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
|
||||
|
||||
Reference in New Issue
Block a user