rms-memory-mcp: Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search

by max-ramas · MCP Server · ★ 62

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install rms-memory-mcp

brew install rms-memory-mcp
cargo install rms-memory-mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolscontext-managementcontext-management-systemlancedblocal-firstmcp-servermcp-toolsmemoryragrust

Quick Facts

Stars62
Forks4
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score70/100
Last Updated2026-10-28
Created2026-07-05
Platformsmcp, rust
Est. Tokens~26k

About rms-memory-mcp

🧠 RMS Memory MCP Persistent, local-first memory for your AI coding agents. Stop re-explaining your architecture to Cursor, Zed, and Claude Code and other IDEs every single session. []() Features • Download • Install • Quick Start • CLI • MCP Tools • Architecture The Problem You're developing a single project but switching bet

Compatible Skills

These tools work well together with rms-memory-mcp for enhanced workflows:

  • basemind — semantic(0.21)+rare_topics+same_lang+similar_pop+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools