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by AgentWong • File & Storage
A lightweight MCP server that provides persistent memory for Claude-style agents by storing entities, relations, and observations in a local SQLite-backed knowledge graph.
Persistent, structured memory across conversations so they can store and recall user identity, preferences, and long-term facts.
Model relationships between people, organizations, and events and query those connections during dialog.
A lightweight, local SQLite-backed memory store that is easy to run via Docker or npx and integrate with Claude Desktop.
This server implements a simple persistent memory system as a local knowledge graph (entities, relations, observations) so conversational agents can remember information across chats. It exposes an MCP-compatible API for creating/deleting entities and relations, adding/removing observations, searching nodes, and reading the whole graph. The project is designed for easy integration with Claude Desktop (Docker or npx) and is distributed under the MIT license so it can be used and modified freely. It is a fork/implementation intended for experimentation and demonstration rather than an official product.
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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