{"repo":"Beledarian/mcp-local-memory","free":true,"listed":false,"github":"https://github.com/Beledarian/mcp-local-memory","clone":"git clone https://github.com/Beledarian/mcp-local-memory.git","description":"A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.","language":"TypeScript","stars":50,"topics":["agentic","agentic-workflow","coding","coding-agent-skills","mcp","mcp-server","memory","agent-orchestration","coding-agent-memory","llm"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Local Memory MCP Server A local-first MCP server that gives AI agents shared, durable memory through hybrid semantic search, SQLite FTS5, and a knowledge graph—without Docker or a required cloud service. Why use it? - Shared across agents: one SQLite database can serve Codex, Claude, desktop clients, IDE integrations, and custom MCP clients. - Hybrid recall: when sqlite-vec is available, local all-MiniLM-L6-v2 embeddings and FTS5 keyword evidence are merged. FTS remains available as the explicit fallback. - Temporal recall: search natural-language periods such as last week or in 2025 , or pass an explicit ISO startDate and endDate . - Adaptive ranking: relevance, time-decayed importance, tags, and bounded recent familiarity work together without rewriting importance on every recall. - Auditable lifecycle: memories can be reinforced, marked outdated or incorrect, restored, exported, or forgotten. - Structured context: entities, relations, observations, conversations, tasks, and todos live beside free-form memories. - Local by default: memory data stays in your configured SQLite file. Optional LLM features send input only to the OLLAMA URL you configure. For every option and tool, see the extended guide. Requirements - Node.js 22 or newer on a supported LTS release. - Python and C++ build tools when better-sqlite3 has no matching prebuild. - Windows users can install Desktop development with C++ through Visual Studio Build Tools. Windows ARM64 semantic search is supported by a ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Beledarian","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Beledarian/mcp-local-memory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}