thuongh2/git-mimir
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Mimir is a Go-based code intelligence engine that indexes your repository into a knowledge graph and exposes it to AI agents via MCP, HTTP API, and an interactive web UI.
概要
Mimir is a that indexes your repository into a knowledge graph and exposes it to AI agents via MCP, HTTP API, and an interactive web UI. Mimir builds a searchable knowledge graph of your codebase that helps AI agents (and humans) understand it faster. Pure Go (zero CGO), 8-language support (TS, JS, Go, Python, Rust, Java, C, C++), incremental indexing via git-diff, Louvain community detection, embedded web UI. For detailed installation guide, see docs/installation.md. AI agents get access to 12 tools via MCP: 1. : Use query() for semantic search 2. : Use context() to understand a symbol 3. : Use find_referencing() for a lightweight 1-hop caller list 4. : Use get_symbols_overview() to see what's defined in a file 5. : Run symbol_coordinates() to get the exact location, then impact() for blast radius 6.
README
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Mimir — Code Intelligence for AI Agents
Mimir is a Go-based code intelligence engine that indexes your repository into a knowledge graph and exposes it to AI agents via MCP, HTTP API, and an interactive web UI.
What is Mimir?
Mimir builds a searchable knowledge graph of your codebase that helps AI agents (and humans) understand it faster.
| Use Case | How Mimir Helps |
|---|---|
| AI Agents (MCP) | 7 tools for semantic search, impact analysis, and blast radius queries |
| Humans (Web UI) | Interactive force-directed graph to explore code structure visually |
| Teams (Refactors) | Impact analysis before editing — see what breaking changes affect |
Why Mimir?
| Metric | GitNexus (Node.js) | Mimir (Go) |
|---|---|---|
| Cold index (1,000 files) | ~45s | < 8s |
| Incremental re-index | ~45s (full) | < 2s |
| Hybrid search latency | ~300ms | < 80ms |
| Binary size | 350 MB | < 20 MB |
| RAM during index | ~800 MB | < 120 MB |
Key improvements: Pure Go (zero CGO), 8-language support (TS, JS, Go, Python, Rust, Java, C, C++), incremental indexing via git-diff, Louvain community detection, embedded web UI.
Quick Start
Step 1: Install
# One-line (Linux/macOS)
curl -fsSL https://raw.githubusercontent.com/thuongh2/git-mimir/main/install.sh | sh
# Or via Go
go install github.com/thuongh2/git-mimir/cmd/mimir@latest
# Or download binary from GitHub Releases
Step 2: Index Your Code
# Full index with embeddings (requires ollama or OpenAI)
mimir analyze /path/to/your-project
# Faster — graph + BM25 only (no embeddings)
mimir analyze --skip-embeddings /path/to/your-project
# Skip auto-setup for manual control
mimir analyze --skip-daemon --skip-hooks --skip-skills /path/to/your-project
Step 3: Use It
Option A: Web UI (Humans)
mimir serve
# Open http://localhost:7842
Option B: MCP (AI Agents)
mimir daemon start # Start background MCP server
mimir setup # Auto-configure Claude Code, VS Code, Cursor, etc.
Installation
| Method | Command |
|---|---|
| One-line (Linux/macOS) | `curl -fsSL https://raw.githubusercontent.com/thuongh2/git-mimir/main/install.sh |
| Go Install | go install github.com/thuongh2/git-mimir/cmd/mimir@latest |
| Download Binary | GitHub Releases |
| From Source | git clone && cd git-mimir && make build |
For detailed installation guide, see docs/installation.md.
CLI Reference
| Command | Description |
|---|---|
mimir analyze |
Index repository with auto-setup |
mimir serve |
Start HTTP server + Web UI (default: port 7842) |
mimir mcp |
Start MCP stdio server |
mimir daemon start/stop/status |
Manage background MCP daemon |
mimir daemon logs [lines] |
View daemon logs (default: 30 lines) |
mimir list |
List indexed repositories |
推奨ツール
別のキーワードを試すか、フィルタを外してください。
インストール
npx skillfish add thuongh2/git-mimir