MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
spences10/mcp-memory-libsql
mcp-memory-libsql is a Model Context Protocol server that gives language models a persistent memory system backed by libSQL. Written in TypeScript, it implements the standard MCP memory interface as a knowledge graph of entities, observations and relations, so an assistant can store facts across sessions and recall them later. Entities can be created and updated with observations, deleted, searched by text, and explored through their relationships, while relations between entities can be created, deleted and queried. The server's text search is optimized for LLM context efficiency: it uses fuzzy matching and ranks results by relevance, weighting name matches above type matches above observation matches, so the most pertinent memories surface first without flooding the context window. Storage uses a libSQL database with separate tables for entities, observations and relations, each carrying timestamps. It works with both local SQLite files and remote libSQL databases such as Turso, selected through the LIBSQL_URL environment variable, with secure token-based authentication for remote instances via LIBSQL_AUTH_TOKEN; if no URL is provided it defaults to a local file. Configuration examples are given for Cline and for Claude Desktop under WSL, and the server is typically launched through npx. It is aimed at developers who want to give AI assistants durable, queryable long-term memory and a knowledge graph that persists locally or in the cloud.
https://github.com/spences10/mcp-memory-libsql
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