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repomemory

from DanielGuru

Persistent, structured memory for AI coding agents. Your repo never forgets.

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repomemory

Your codebase never forgets.

AI agents lose context every session. repomemory fixes that β€” one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to.

npm version npm downloads license CI

npx repomemory go
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<video src="https://github.com/DanielGuru/repomemory/raw/main/repomemory-demo.gif.mp4" width="100%" autoplay loop muted playsinline></video>

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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/
β”œβ”€β”€ index.md              ← Quick orientation (loaded every session)
β”œβ”€β”€ facts/                ← Architecture, database, deployment
β”œβ”€β”€ decisions/            ← "We chose Drizzle over Prisma because..."
β”œβ”€β”€ regressions/          ← "This broke before. Here's what happened."
β”œβ”€β”€ preferences/          ← Your coding style β€” follows you across all repos
β”œβ”€β”€ 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.

MCP Server β€” 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:

ToolWhat It Does
context_searchHybrid keyword + semantic search across repo + global context
context_auto_orientOne-call orientation: index, preferences, recent sessions
context_writeWrite entries with smart scope routing (preferences β†’ global)
context_readRead full content, repo-first with global fallback
context_listBrowse entries with [repo]/[global] provenance tags
context_riskAssess modification risk β€” hotspots, hidden coupling, bus factor
context_deleteRemove stale knowledge
Agent: "Let me orient myself in this project..."
β†’ context_auto_orient()
β†’ Returns: project overview, preferences, recent sessions, recent changes

Agent: "Let me search for context about the auth flow..."
β†’ context_search("authentication flow")
β†’ Auto-routes to facts/ category, returns compact results

Agent: "I found a race condition. Let me record this."
β†’ context_write(category="regressions", filename="token-refresh-race", content="...")
β†’ Persisted. Detects if it supersedes an existing entry.

Sessions are auto-captured on shutdown. Zero config β€” repomemory setup claude handles everything.

Supported Tools

ToolIntegrationAPI Key Required?
Claude CodeMCP server (auto-starts) + post-commit hookYes (for analysis)
CursorMCP server + rules + 6 slash commandsNo β€” uses Cursor's built-in AI
GitHub Copilotcopilot-instructions.mdYes (for analysis)
Windsurf.windsurfrulesYes (for analysis)
Cline.clinerulesYes (for analysis)
Aider.aider.conf.ymlYes (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-analyze in Cursor chat. Cursor's AI does the analysis using the MCP tools β€” whatever model Cursor is using (it can even switch models mid-task).

Supported Providers

ProviderModelsEnv Variable
anthropicclaude-sonnet-4-6, claude-opus-4-6ANTHROPIC_API_KEY
openaigpt-4o, o3-miniOPENAI_API_KEY
geminigemini-2.0-flash, gemini-2.5-proGEMINI_API_KEY / GOOGLE_API_KEY
grokgrok-3, grok-3-miniGROK_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

Why Not Just CLAUDE.md?

CLAUDE.mdrepomemory
MaintenanceManualAI-generated + agent-maintained
SearchLoad everythingHybrid keyword + semantic
Cross-toolClaude Code only7 tools supported
Team knowledgeOne person writesEvery AI session contributes
DecisionsMixed in with instructionsStructured, searchable
RegressionsNot trackedPrevents repeat bugs
SessionsNot trackedAuto-captured on shutdown
FreshnessUnknownStaleness detection + auto-purge

repomemory doesn't replace CLAUDE.md β€” 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


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Built for developers who are tired of AI agents forgetting everything between sessions.

Report Bug Β· Request Feature Β· npm

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