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mcp-memory-libsql

Active·★ 85·MIT·Updated 2026-05-28
★ Trending★ RAG / Knowledge Base★ Memory & Context

🧠 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.

mcp-memory-libsql is a high-performance, persistent memory system for the Model Context Protocol (MCP). It uses libSQL to store entities and relations, providing optimized text search with relevance ranking to enhance LLM context efficiency. It supports both local SQLite and remote libSQL databases with secure authentication.

#ai-tools#embeddings#knowledge-graph#libsql#mcp#mcp-servers#model-context-protocol#persistent-storage
$ Install
$ npx -y mcp-memory-libsql
↗ Visit site★ GitHub
01

Features

01High-performance text search with relevance ranking
02Persistent storage of entities and relations
03Flexible text search with fuzzy matching
04Context-optimized for LLM efficiency
05Knowledge graph management
02

Compatibility

Cline
Cline
Verified via docs
Claude Desktop
Claude Desktop
Verified via docs
Any MCP Client
Any MCP Client
Verified via docs
03

Quick start

1
$ npx -y mcp-memory-libsql
04

Use cases

↳Provide persistent memory for LLM applications
↳Manage knowledge graphs for context-aware AI
↳Enhance retrieval-augmented generation (RAG) pipelines
05

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mcp-memory-libsql AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basemcp-memory-libsql Tutorialmcp-memory-libsql Vs Competitorsai-toolsembeddingsknowledge-graph

Comments

Log in to leave a comment
  • O
    Oaklyn GarciaMay 19, 2026

    The MCP memory abstraction is clean, easy to swap backends if needed later

  • S
    Sage LewisMay 13, 2026

    Used as the memory layer for a production agent, zero reliability issues in 2 months

  • J
    Jesse NguyenApr 30, 2026

    libSQL-backed persistent memory is fast and works well on edge infrastructure

  • P
    Phoenix AndersonMar 6, 2026

    High-performance retrieval makes this viable for real-time agent workflows

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 85
Last commit2d ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
Trend (30d)
+3.4↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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