Give your AI agent a persistent memory that survives across conversations. The Memory MCP server stores entities, relationships, and observations in a local knowledge graph that Claude can read and update.
Features:
- Store named entities (people, projects, concepts) with properties
- Create relationships between entities
- Add observations and notes to existing entities
- Query the knowledge graph with natural language
- Persistent storage — memory survives session restarts
- Delete outdated or incorrect memories
- Local storage — your data never leaves your machine
Real-world use cases:
- "Remember that our production database is on AWS us-east-1"
- "Note that Alice is the lead on the payments project"
- "Store my API keys and configurations"
- Remember user preferences across sessions in AI applications
This is one of the most-requested MCP capabilities and the official implementation is the most trusted option in the ecosystem.
memory
knowledge-graph
persistence
context
agents
sessions