spences10/mcp-memory-libsql
View on GitHub ↗🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
87 ★18 forksTypeScriptUpdated 1mo ago
What you need to know
High-performance, persistent memory system for MCP backed by libSQL with ranking-aware text search for entities, observations, and relations.
Install
npx -y mcp-memory-libsql
Add {"command":"npx","args":["-y","mcp-memory-libsql"],"env":{"LIBSQL_URL":"file:/path/to/database.db"}} to mcpServersUsage
- •Set LIBSQL_URL to a local SQLite file or a remote libSQL (Turso) URL
- •For remote databases also set LIBSQL_AUTH_TOKEN
- •Default: file:/memory-tool.db in the current directory
Key features
- ✓Persistent storage of entities and relations
- ✓High-performance text search with relevance ranking and fuzzy matching
- ✓Knowledge graph management with relationship queries
- ✓Flexible text search scoped to name, type, and observation fields
- ✓Local SQLite and remote libSQL (Turso) compatibility with token authentication
Best for
Adding durable, searchable memory and a knowledge graph to an MCP assistant with minimal setup
Caveats
- ⚠Requires an LIBSQL_URL pointing to a database (local or remote)
- ⚠WSL users must use Linux-style filesystem paths
- ⚠npm publishing is manual due to 2FA requirements
Platforms: macOS · Linux · WindowsClients: Claude Desktop · Cline
Documentation ↗Reviewed 2026-08-11
Topics
ai-toolsembeddingsknowledge-graphlibsqlmcpmodel-context-protocolpersistent-storagesemantic-searchvector-search
- Stars
- 87★
- Forks
- 18
- Language
- TypeScript
- License
- MIT
- Created
- 2025-01-14
- Last push
- 2026-08-11