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Persistent memory and knowledge graph storage for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-memory-service" yet — see the docs or source repo.
Store this AI agent’s user preferences and chat history in persistent memory for future sessions.
Persistent memory records stored for later retrieval and reuse.
Automatically consolidate repeated facts from multiple conversations and keep the most reliable version.
A consolidated, deduplicated memory or knowledge node set.
Explain how to integrate this memory service into LangGraph, CrewAI, or AutoGen agent workflows.
Integration guidance for agent frameworks.
Useful for AI apps that need cross-session context, such as personal assistants or support agents. It persists important information so the agent does not start from scratch each time.
Suitable for turning conversation facts into a structured knowledge graph for later retrieval and linking. It is especially helpful for multi-turn, multi-source information management.
Useful for agent pipelines where memory keeps growing. The system can consolidate entries automatically, reducing duplication while keeping memory usable.
It is an open-source persistent memory service for AI agents, designed for LangGraph, CrewAI, AutoGen, and Claude. It provides a REST API, a knowledge graph, and autonomous consolidation.
It is known to work with LangGraph, CrewAI, AutoGen, and Claude. It also exposes a REST API for integrating into agent pipelines.
It does more than store data: it focuses on persistent memory for AI agents, knowledge graph organization, and automatic consolidation. That makes it better suited for session memory and linked facts.
Provide persistent graph-memory storage and retrieval for LLM agents via MCP.
Add persistent local semantic long-term memory to AI agents.
Give AI assistants persistent memory, semantic search, and team collaboration.
Give MCP-compatible AI agents persistent local memory across sessions.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Give AI agents persistent memory and semantic retrieval across conversations.