io.github.DanielGuru/repomemory

编码与调试

by danielguru

为 AI coding agents 提供持久化 memory,支持混合搜索、自动会话捕获与上下文路由。

什么是 io.github.DanielGuru/repomemory

为 AI coding agents 提供持久化 memory,支持混合搜索、自动会话捕获与上下文路由。

README

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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.

npm version npm downloads license CI

bash
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

code
.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)

bash
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)

bash
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:

code
/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:

CommandWhat it does
/repomemory-analyzeFull repo analysis — populates facts, decisions, index
/repomemory-orientQuick orientation at start of session
/repomemory-searchSearch the knowledge base
/repomemory-recordRecord a fact, decision, or regression
/repomemory-sessionSave a session summary
/repomemory-statusShow context coverage

Guided wizard

bash
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)

bash
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:

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 → global)
context_readRead full content, repo-first with global fallback
context_listBrowse entries with [repo]/[global] provenance tags
context_riskAssess modification risk — hotspots, hidden coupling, bus factor
context_deleteRemove stale knowledge
code
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

ToolIntegrationAPI Key Required?
Claude CodeMCP server (auto-starts) + post-commit hookYes (for analysis)
CursorMCP server + rules + 6 slash commandsNo — 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 — 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

bash
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):

json
{
  "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.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 — 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


<div align="center">

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

Report Bug · Request Feature · npm

</div>

常见问题

io.github.DanielGuru/repomemory 是什么?

为 AI coding agents 提供持久化 memory,支持混合搜索、自动会话捕获与上下文路由。

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