Home › Knowledge & Memory › rms-memory-mcp
rms-memory-mcp
Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence.
Topics: Knowledge & Memory
Connect
See the repository for installation instructions: https://github.com/max-ramas/rms-memory-mcp
Related servers
Context7
Up-to-date code docs for any prompt
cognee
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
hindsight
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Skill_Seekers
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG…
basic-memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
NoteDiscovery
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read,…
Listed in punkpeye/awesome-mcp-servers (MIT)