codemap-zero 0.1.0

Zero-LLM project scanner for AI agents. Produces a compact project map so AI uses 50-100x fewer tokens to understand your codebase.

codemap

Zero-LLM project scanner for AI agents. Scan any codebase and get a compact project map so AI uses 50-100x fewer tokens to understand your code.

What it does

Your Project (50,000+ lines)  →  codemap  →  PROJECT_MAP.md (~3K tokens)
                                           →  codemap.json (full graph)
                                           →  codemap.html (interactive viz)

• AST-level extraction — parses 20+ languages via tree-sitter
• Dependency graph — imports, calls, class hierarchies as a directed graph
• Community detection — auto-discovers logical modules (Louvain/Leiden)
• Architecture analysis — god nodes, circular deps, dead code, layers
• Zero LLM tokens — everything is deterministic static analysis

Install

pip install codemap

With extras:

pip install codemap[web]   # web dashboard (Flask)
pip install codemap[ai]    # AI assistant (vedaslab.in API)
pip install codemap[all]   # everything

Quick Start

Scan a project

codemap scan .

Generates PROJECT_MAP.md, codemap.json, and codemap.html in the current directory.

Interactive menu

codemap menu .

Choose actions by number — scan, launch dashboard, AI assistant, stats.

Web dashboard

codemap serve .

Opens a professional web dashboard at http://localhost:8787 with interactive graph visualization, module explorer, and complexity analysis.

AI assistant

export VEDASLAB_API_KEY=your-key
codemap ai .

Chat with AI about your project using multiple providers (Vedaslab.in, OpenAI, Google Gemini, Anthropic Claude). The AI gets full project context from the scan.

CLI Reference

codemap scan [TARGET] [OPTIONS]    Scan project and generate maps
  -o, --output DIR                 Output directory (default: .)
  --no-html                        Skip HTML generation
  --no-json                        Skip JSON export

codemap serve [TARGET] [OPTIONS]   Launch web dashboard
  -p, --port PORT                  Port (default: 8787)
  --host HOST                      Host (default: 127.0.0.1)

codemap ai [TARGET] [OPTIONS]      Interactive AI assistant
  --api-key KEY                    API key (supports vedaslab, openai, gemini, claude)
  --model MODEL                    Model name (e.g. gpt-4o, gemini-2.5-pro)

codemap menu [TARGET]              Interactive menu mode

Supported Languages

Python, JavaScript, TypeScript, TSX, Go, Rust, Java, C, C++, C#, Ruby, Kotlin, Scala, PHP, Swift, Lua, Zig, PowerShell, Elixir, Julia — plus Markdown, JSON, YAML, TOML configs.

How It Works

1. Detect — finds project type, frameworks, entry points, file structure
2. Extract — parses every source file into AST nodes (files, classes, functions, imports)
3. Build — constructs a directed graph with import/call/containment edges
4. Cluster — detects communities using Louvain algorithm, auto-labels them
5. Analyze — finds god nodes, entry points, circular deps, dead code, architecture patterns
6. Report — generates a token-optimized Markdown summary
7. Export — outputs JSON graph data and interactive HTML visualization

Development

git clone https://github.com/Jerry4539/codemap.git
cd codemap
pip install -e ".[dev]"
codemap scan .

Contributing

Contributions are welcome! Please open an issue or pull request on GitHub.

License

MIT — see LICENSE for details.

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Developed by Jerry4539