No recent activity. No commits in 6 months. It may still work, but issues are unlikely to be fixed. See 4 alternatives.
repomemory MCP server
io.github.DanielGuru · Updated
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
At a glance
repomemory is an MCP server in the AI & Memory category. It runs locally over stdio via `npx -y repomemory`, and declares no required credentials. It scores B (71/100) on the MCP Skills Hub health score as of Oct 28, 2026.
One-click install
Opens your editor and pre-fills the config. Your editor will ask before adding it.
How to install repomemory in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install repomemory in Claude CodeAnthropic's agentic CLI
Add the server
bashclaude mcp add repomemory -- npx -y repomemoryVerify it's connected
bashclaude mcp listSharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.
How to install repomemory in Claude DesktopDesktop app (MCP config)
Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this server
json{ "mcpServers": { "repomemory": { "command": "npx", "args": [ "-y", "repomemory" ] } } }Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.
How to install repomemory in CursorAI-first code editor
Create / edit .cursor/mcp.json in your project
json{ "mcpServers": { "repomemory": { "command": "npx", "args": [ "-y", "repomemory" ] } } }Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.
How to install repomemory in Codex CLIOpenAI coding agent
Add to ~/.codex/config.toml
toml[mcp_servers.repomemory] command = "npx" args = ["-y", "repomemory"]Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.
How to install repomemory in WindsurfCodeium's agentic IDE
Edit ~/.codeium/windsurf/mcp_config.json
json{ "mcpServers": { "repomemory": { "command": "npx", "args": [ "-y", "repomemory" ] } } }Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.
How to install repomemory in ClineVS Code autonomous agent
Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.
Add the server
json{ "mcpServers": { "repomemory": { "command": "npx", "args": [ "-y", "repomemory" ] } } }
How to install repomemory in VS CodeCopilot / MCP support
Create .vscode/mcp.json
json{ "servers": { "repomemory": { "type": "stdio", "command": "npx", "args": [ "-y", "repomemory" ] } } }Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.
What tools does repomemory expose?
This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.
What the code can do
Read from the published package source — never executed. Parsed 25 of 25 source files.
This server can run other programs on your machine, read and write files and make network requests.
How it was published
- Has a provenance attestation tying this artifact to the commit it was built from.
- 1 npm maintainer — a single point of compromise · last published by danielguru.
Maintainer of this package and think something here is wrong? Tell us and we'll correct it.
Before you install
Signals gathered from the source repo and package registry — not a safety verdict.
What it can reach
- Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
- Downloads at launch — The package is fetched from its registry each run unless you pin a version.
- Last commit 6 months ago — No commits in over six months.
- 2 GitHub stars — Very little community usage so far.
Client compatibility
Health score
B · 71Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated
- Maintenance30%76%
Last commit 196 days ago.
- Adoption20%14%
2 stars.
- Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
- Provenance15%100%
Package and registry entry point at the same repository.
- Packaging15%100%
Publishes a pinned version (1.3.0).
Documentation
Full READMErepomemory
Your codebase never forgets.
AI agents lose context every session. repomemory fixes that — one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to.
npx repomemory go<video src="https://github.com/DanielGuru/repomemory/raw/main/repomemory-demo.gif.mp4" width="100%" autoplay loop muted playsinline></video>
The Problem
Every time you open a project with Claude Code, Cursor, Copilot, or any AI coding agent:
- It re-discovers your architecture from scratch
- It proposes changes that were already debated and rejected
- It re-introduces bugs that were already fixed
Your CLAUDE.md / .cursorrules helps, but it's static and gets stale.
The Solution
.context/
├── index.md ← Quick orientation (loaded every session)
├── facts/ ← Architecture, database, deployment
├── decisions/ ← "We chose Drizzle over Prisma because..."
├── regressions/ ← "This broke before. Here's what happened."
├── preferences/ ← Your coding style — follows you across all repos
├── sessions/ ← Auto-captured AI session summaries
└── changelog/ ← Monthly git history syncsFacts tell agents how things work. Decisions prevent re-debating. Regressions prevent re-breaking. Preferences teach agents how you code.
Quick Start
Excerpt — the full document is on GitHub.
Alternatives to repomemory
- Synap MemoryA · 88Persistent memory for AI agents — log and recall conversation context over MCP.
- Cairn.ink MemoryA · 80Cross-session memory for AI agents with a Source Receipt for every memory, over MCP.
- hmem — Humanlike Memory for AI AgentsA · 85Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
- adrkit decision memoryA · 86Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
Maintain repomemory? Add a badge to your README
Shows its health grade, and links readers to install steps for every client.
[](https://mcp-skills-hub.vercel.app/mcps/io-github-danielguru-repomemory)Catalog data refreshed . Something wrong? Report it.