mcp-memory-libsql and simple-memory-mcp
About mcp-memory-libsql
spences10/mcp-memory-libsql
🧠 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.
This tool creates a high-performance, persistent memory system for AI agents, allowing them to store and retrieve information efficiently. It takes in entities (like facts or observations) and their relationships, storing them as a knowledge graph, and outputs highly relevant search results to help AI agents understand context. AI developers and researchers building intelligent agents or knowledge-driven AI applications would use this.
About simple-memory-mcp
chrisribe/simple-memory-mcp
🧠 Blazingly fast persistent memory for AI assistants. Sub-millisecond SQLite storage with smart tagging, full-text search, and automatic relationships. MCP server + CLI.
Implements an MCP server with a GraphQL interface for memory operations, storing data in local SQLite with BM25 full-text search scoring rather than embeddings. Integrates directly with Claude Desktop and VS Code via MCP protocol, plus includes a CLI for manual queries and a web interface for browsing stored memories. Designed as a lightweight alternative to RAG systems for single-user local knowledge management without vector databases or cloud dependencies.
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