
Repomemory
- 2 repo stars
- Updated April 15, 2026
- DanielGuru/repomemory
RepoMemory MCP is a MCP server that gives coding agents persistent hybrid-search memory with auto-session capture and context routing.
About
RepoMemory MCP adds persistent memory for AI coding agents: hybrid search, automatic session capture, and context routing so the right prior notes appear on the next task. developers who lose hours re-stating stack choices, bug hypotheses, or half-finished refactors register the repomemory stdio server in Claude Code or Cursor and treat the repo as a cumulative knowledge base rather than a blank chat each morning. Skillselion lists it under build agent-tooling as the first journey touchpoint, with journey-wide scope because the same memory layer supports validate spikes, ship reviews, and operate iteration. Install from npm, wire MCP stdio, and expect the most value when you explicitly let sessions capture outcomes and query memory before large edits.
- npm package repomemory version 1.3.0 with stdio transport
- Hybrid search across stored agent and repo session memory
- Auto-session capture so decisions survive thread boundaries
- Context routing to surface the right memories per task
- GitHub repository DanielGuru/repomemory linked in server manifest
Repomemory by the numbers
- Data as of Jul 25, 2026 (Skillselion catalog sync)
claude mcp add repomemory -- npx -y repomemoryAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| repo stars | ★ 2 |
|---|---|
| Package | repomemory |
| Transport | STDIO |
| Auth | None |
| Last updated | April 15, 2026 |
| Repository | DanielGuru/repomemory ↗ |
What it does
Persist what your coding agent learned across sessions with hybrid search, auto capture, and context routing for the repo.
Who is it for?
Best when you're running long-horizon Claude Code or Cursor work on one repo and need durable session memory.
Skip if: One-shot snippet generation with no expectation of cross-session continuity.
What you get
After registration, sessions accumulate searchable memory and routed context so the agent continues work without full re-briefs.
- Searchable persistent memory across agent sessions
- Automatic capture hooks for session outcomes
- Routed context bundles for task-specific prompts
By the numbers
- Package version 1.3.0
- Three described mechanisms: hybrid search, auto-session capture, context routing
- stdio npm identifier repomemory
README.md
repomemory
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
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 syncs
Facts tell agents how things work. Decisions prevent re-debating. Regressions prevent re-breaking. Preferences teach agents how you code.
Quick Start
With an API key (Claude Code, terminal workflows)
npx repomemory go
One command: sets up global profile, creates .context/, configures Claude Code + Cursor, runs AI analysis, prints CLAUDE.md instructions.
With Cursor (no API key needed)
npx repomemory setup cursor
This installs everything Cursor needs:
- MCP server in
~/.cursor/mcp.json(auto-starts repomemory in every project) - Rules in
.cursor/rules/repomemory.mdc(teaches Cursor's AI to use context) - 6 commands in
.cursor/commands/(run with/in Cursor chat)
Then in Cursor chat, type:
/repomemory-analyze
Cursor's own AI scans your repo and populates .context/ via the MCP tools. No external API key required — your Cursor subscription handles it.
Available Cursor commands:
| Command | What it does |
|---|---|
/repomemory-analyze |
Full repo analysis — populates facts, decisions, index |
/repomemory-orient |
Quick orientation at start of session |
/repomemory-search |
Search the knowledge base |
/repomemory-record |
Record a fact, decision, or regression |
/repomemory-session |
Save a session summary |
/repomemory-status |
Show context coverage |
Guided wizard
npx repomemory wizard
Walks through provider selection, tool integration, and first analysis. If no API keys are detected, offers a "None — I use Cursor" option that skips external analysis entirely.
Non-interactive (CI-safe)
npx repomemory go --yes --provider anthropic --embedding-provider gemini --max-files 80
No prompts when --yes / --defaults / --no-prompt is used.
MCP Server — Agents With Real Memory
The real power is the MCP server. When configured via repomemory setup claude, it auto-starts with Claude Code and gives agents 7 tools:
| Tool | What It Does |
|---|---|
context_search |
Hybrid keyword + semantic search across repo + global context |
context_auto_orient |
One-call orientation: index, preferences, recent sessions |
context_write |
Write entries with smart scope routing (preferences → global) |
context_read |
Read full content, repo-first with global fallback |
context_list |
Browse entries with [repo]/[global] provenance tags |
context_risk |
Assess modification risk — hotspots, hidden coupling, bus factor |
context_delete |
Remove stale knowledge |
Agent: "Let me orient myself in this project..."
→ context_auto_orient()
→ Returns: project overview, preferences, recent sessions, recent changes
Agent: "Let me search for context about the auth flow..."
→ context_search("authentication flow")
→ Auto-routes to facts/ category, returns compact results
Agent: "I found a race condition. Let me record this."
→ context_write(category="regressions", filename="token-refresh-race", content="...")
→ Persisted. Detects if it supersedes an existing entry.
Sessions are auto-captured on shutdown. Zero config — repomemory setup claude handles everything.
Supported Tools
| Tool | Integration | API Key Required? |
|---|---|---|
| Claude Code | MCP server (auto-starts) + post-commit hook | Yes (for analysis) |
| Cursor | MCP server + rules + 6 slash commands | No — uses Cursor's built-in AI |
| GitHub Copilot | copilot-instructions.md |
Yes (for analysis) |
| Windsurf | .windsurfrules |
Yes (for analysis) |
| Cline | .clinerules |
Yes (for analysis) |
| Aider | .aider.conf.yml |
Yes (for analysis) |
| Continue | .continue/rules/ |
Yes (for analysis) |
Cursor users: You don't need any API key. Run
npx repomemory setup cursor, then use/repomemory-analyzein Cursor chat. Cursor's AI does the analysis using the MCP tools — whatever model Cursor is using (it can even switch models mid-task).
Supported Providers
| Provider | Models | Env Variable |
|---|---|---|
anthropic |
claude-sonnet-4-6, claude-opus-4-6 | ANTHROPIC_API_KEY |
openai |
gpt-4o, o3-mini | OPENAI_API_KEY |
gemini |
gemini-2.0-flash, gemini-2.5-pro | GEMINI_API_KEY / GOOGLE_API_KEY |
grok |
grok-3, grok-3-mini | GROK_API_KEY / XAI_API_KEY |
Embeddings (optional, for semantic search): Gemini text-embedding-004 (free, default) or OpenAI text-embedding-3-small. Auto-detected from available API keys.
All Commands
repomemory go # One-command setup (add --yes for non-interactive)
repomemory wizard # Interactive guided setup
repomemory analyze # AI-powered repo analysis
repomemory analyze --merge # Update without overwriting edits
repomemory analyze --dry-run # Preview without API call
repomemory search <query> # Search knowledge base from terminal
repomemory status # Coverage and freshness report
repomemory doctor # Diagnostics and health check
repomemory dashboard # Local web UI (localhost:3333)
repomemory risk # Hotspots, coupling, ownership analysis
repomemory risk -f src/auth.ts # Targeted risk assessment for specific files
repomemory sync # Sync git history to changelog
repomemory setup <tool> # Configure Claude/Cursor/Copilot/etc
repomemory hook install # Auto-sync changelog on commits
repomemory global list # Manage global developer context
repomemory global export # Export global context as JSON
Configuration
.repomemory.json in your repo root (all fields optional):
{
"provider": "anthropic",
"model": "claude-sonnet-4-6",
"embeddingProvider": "gemini",
"hybridAlpha": 0.5,
"maxFilesForAnalysis": 80,
"enableGlobalContext": true
}
Custom ignorePatterns and keyFilePatterns are additive — they extend built-in defaults, not replace them.
Why Not Just CLAUDE.md?
| CLAUDE.md | repomemory | |
|---|---|---|
| Maintenance | Manual | AI-generated + agent-maintained |
| Search | Load everything | Hybrid keyword + semantic |
| Cross-tool | Claude Code only | 7 tools supported |
| Team knowledge | One person writes | Every AI session contributes |
| Decisions | Mixed in with instructions | Structured, searchable |
| Regressions | Not tracked | Prevents repeat bugs |
| Sessions | Not tracked | Auto-captured on shutdown |
| Freshness | Unknown | Staleness detection + auto-purge |
repomemory doesn't replace CLAUDE.md — it complements it. CLAUDE.md is for instructions and rules. .context/ holds the knowledge that grows over time.
Contributing
See CONTRIBUTING.md for development setup, testing, and contribution guidelines.
License
MIT
Built for developers who are tired of AI agents forgetting everything between sessions.
Recommended MCP Servers
How it compares
Persistent agent memory MCP, not a static vector doc upload or live semantic code graph alone.
FAQ
Who is RepoMemory MCP for?
Developers and agent-first teams who work on the same codebase across many sessions and need captured context to stay searchable.
When should I use RepoMemory MCP?
Use it as soon as agent-assisted implementation becomes your default workflow and you feel repetition cost from missing session history.
How do I add RepoMemory MCP to my agent?
Install the repomemory npm package, configure it as a stdio MCP server in your client, and enable session capture and hybrid search in your project workflow.