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by yodakeisuke • Search & Retrieval
A local, persistent memory server that stores user facts as a small knowledge graph for use by chat agents.
Persistently store personalized user facts (identity, preferences, goals) across chat sessions for better context and personalization.
Search and retrieve relevant memories by keywords across entity names, types, subdomains, and observation text.
Represent and traverse relationships between entities (people, organizations, events) to infer or display connected context.
This MCP server implements a simple knowledge graph-based memory store with entities, relations, and atomic observations, enabling agents to persistently remember user information across conversations. It provides APIs to create/read/delete entities, relations, and observations, plus search and node retrieval endpoints. The server is distributed under the MIT license and can be run via Docker or npx for easy local integration with agents like Claude Desktop.
Create multiple new entities in the knowledge graph
Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
Add new observations to existing entities in the knowledge graph
Delete multiple entities and their associated relations from the knowledge graph
Delete specific observations from entities in the knowledge graph
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