Files
autocoder/README.md
Auto 4549840330 feat: add npm global package for one-command install
Add a Node.js CLI wrapper that allows installing AutoForge globally via
`npm install -g autoforge-ai` and running it with a single `autoforge`
command. The CLI handles Python detection, venv management, config
loading, and uvicorn server lifecycle automatically.

New files:
- package.json: npm package config with bin entry, files whitelist,
  and prepublishOnly script that builds the UI
- bin/autoforge.js: thin entry point that imports lib/cli.js
- lib/cli.js: main CLI module (~790 lines) with cross-platform Python
  3.11+ detection, composite venv marker for smart invalidation
  (requirements hash + Python version + path), .env config management
  at ~/.autoforge/.env, server startup with PID file and port detection,
  and signal handling with process tree cleanup
- requirements-prod.txt: runtime-only deps (excludes ruff, mypy, pytest)
- .npmignore: excludes dev files, tests, __pycache__, UI source

Modified files:
- ui/package.json: rename to autoforge-ui to avoid confusion with root
- .gitignore: add *.tgz for npm pack output
- README.md: add npm install as primary quick start method, document
  CLI commands, add Ollama/Vertex AI config sections, new troubleshooting
  entries for Python/venv issues
- GettingStarted.tsx: add Installation, Quick Start, and CLI Commands
  sections to in-app documentation with command reference table
- docsData.ts: add installation and cli-commands sidebar entries

Published as autoforge-ai@0.1.0 on npm.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 14:48:00 +02:00

424 lines
14 KiB
Markdown

# AutoForge
[![Buy Me A Coffee](https://img.shields.io/badge/Buy%20Me%20A%20Coffee-FFDD00?style=flat&logo=buy-me-a-coffee&logoColor=black)](https://www.buymeacoffee.com/leonvanzyl)
A long-running autonomous coding agent powered by the Claude Agent SDK. This tool can build complete applications over multiple sessions using a two-agent pattern (initializer + coding agent). Includes a React-based UI for monitoring progress in real-time.
## Video Tutorial
[![Watch the tutorial](https://img.youtube.com/vi/lGWFlpffWk4/hqdefault.jpg)](https://youtu.be/lGWFlpffWk4)
> **[Watch the setup and usage guide →](https://youtu.be/lGWFlpffWk4)**
---
## Prerequisites
- **Node.js 20+** - Required for the CLI
- **Python 3.11+** - Auto-detected on first run ([download](https://www.python.org/downloads/))
- **Claude Code CLI** - Install and authenticate (see below)
### Claude Code CLI (Required)
**macOS / Linux:**
```bash
curl -fsSL https://claude.ai/install.sh | bash
```
**Windows (PowerShell):**
```powershell
irm https://claude.ai/install.ps1 | iex
```
### Authentication
You need one of the following:
- **Claude Pro/Max Subscription** - Use `claude login` to authenticate (recommended)
- **Anthropic API Key** - Pay-per-use from https://console.anthropic.com/
---
## Quick Start
### Option 1: npm Install (Recommended)
```bash
npm install -g autoforge-ai
autoforge
```
On first run, AutoForge automatically:
1. Checks for Python 3.11+
2. Creates a virtual environment at `~/.autoforge/venv/`
3. Installs Python dependencies
4. Copies a default config file to `~/.autoforge/.env`
5. Starts the server and opens your browser
### CLI Commands
```
autoforge Start the server (default)
autoforge config Open ~/.autoforge/.env in $EDITOR
autoforge config --path Print config file path
autoforge config --show Show active configuration values
autoforge --port PORT Custom port (default: auto from 8888)
autoforge --host HOST Custom host (default: 127.0.0.1)
autoforge --no-browser Don't auto-open browser
autoforge --repair Delete and recreate virtual environment
autoforge --version Print version
autoforge --help Show help
```
### Option 2: From Source (Development)
Clone the repository and use the start scripts directly. This is the recommended path if you want to contribute or modify AutoForge itself.
```bash
git clone https://github.com/leonvanzyl/autoforge.git
cd autoforge
```
**Web UI:**
| Platform | Command |
|---|---|
| Windows | `start_ui.bat` |
| macOS / Linux | `./start_ui.sh` |
This launches the React-based web UI at `http://localhost:5173` with:
- Project selection and creation
- Kanban board view of features
- Real-time agent output streaming
- Start/pause/stop controls
**CLI Mode:**
| Platform | Command |
|---|---|
| Windows | `start.bat` |
| macOS / Linux | `./start.sh` |
The start script will:
1. Check if Claude CLI is installed
2. Check if you're authenticated (prompt to run `claude login` if not)
3. Create a Python virtual environment
4. Install dependencies
5. Launch the main menu
### Creating or Continuing a Project
You'll see options to:
- **Create new project** - Start a fresh project with AI-assisted spec generation
- **Continue existing project** - Resume work on a previous project
For new projects, you can use the built-in `/create-spec` command to interactively create your app specification with Claude's help.
---
## How It Works
### Two-Agent Pattern
1. **Initializer Agent (First Session):** Reads your app specification, creates features in a SQLite database (`features.db`), sets up the project structure, and initializes git.
2. **Coding Agent (Subsequent Sessions):** Picks up where the previous session left off, implements features one by one, and marks them as passing in the database.
### Feature Management
Features are stored in SQLite via SQLAlchemy and managed through an MCP server that exposes tools to the agent:
- `feature_get_stats` - Progress statistics
- `feature_get_next` - Get highest-priority pending feature
- `feature_get_for_regression` - Random passing features for regression testing
- `feature_mark_passing` - Mark feature complete
- `feature_skip` - Move feature to end of queue
- `feature_create_bulk` - Initialize all features (used by initializer)
### Session Management
- Each session runs with a fresh context window
- Progress is persisted via SQLite database and git commits
- The agent auto-continues between sessions (3 second delay)
- Press `Ctrl+C` to pause; run the start script again to resume
---
## Important Timing Expectations
> **Note: Building complete applications takes time!**
- **First session (initialization):** The agent generates feature test cases. This takes several minutes and may appear to hang - this is normal.
- **Subsequent sessions:** Each coding iteration can take **5-15 minutes** depending on complexity.
- **Full app:** Building all features typically requires **many hours** of total runtime across multiple sessions.
**Tip:** The feature count in the prompts determines scope. For faster demos, you can modify your app spec to target fewer features (e.g., 20-50 features for a quick demo).
---
## Project Structure
```
autoforge/
├── bin/ # npm CLI entry point
├── lib/ # CLI bootstrap and setup logic
├── start.py # CLI menu and project management
├── start_ui.py # Web UI backend (FastAPI server launcher)
├── autonomous_agent_demo.py # Agent entry point
├── agent.py # Agent session logic
├── client.py # Claude SDK client configuration
├── security.py # Bash command allowlist and validation
├── progress.py # Progress tracking utilities
├── prompts.py # Prompt loading utilities
├── api/
│ └── database.py # SQLAlchemy models (Feature table)
├── mcp_server/
│ └── feature_mcp.py # MCP server for feature management tools
├── server/
│ ├── main.py # FastAPI REST API server
│ ├── websocket.py # WebSocket handler for real-time updates
│ ├── schemas.py # Pydantic schemas
│ ├── routers/ # API route handlers
│ └── services/ # Business logic services
├── ui/ # React frontend
│ ├── src/
│ │ ├── App.tsx # Main app component
│ │ ├── hooks/ # React Query and WebSocket hooks
│ │ └── lib/ # API client and types
│ ├── package.json
│ └── vite.config.ts
├── .claude/
│ ├── commands/
│ │ └── create-spec.md # /create-spec slash command
│ ├── skills/ # Claude Code skills
│ └── templates/ # Prompt templates
├── requirements.txt # Python dependencies (development)
├── requirements-prod.txt # Python dependencies (npm install)
├── package.json # npm package definition
└── .env # Optional configuration
```
---
## Generated Project Structure
After the agent runs, your project directory will contain:
```
generations/my_project/
├── features.db # SQLite database (feature test cases)
├── prompts/
│ ├── app_spec.txt # Your app specification
│ ├── initializer_prompt.md # First session prompt
│ └── coding_prompt.md # Continuation session prompt
├── init.sh # Environment setup script
├── claude-progress.txt # Session progress notes
└── [application files] # Generated application code
```
---
## Running the Generated Application
After the agent completes (or pauses), you can run the generated application:
```bash
cd generations/my_project
# Run the setup script created by the agent
./init.sh
# Or manually (typical for Node.js apps):
npm install
npm run dev
```
The application will typically be available at `http://localhost:3000` or similar.
---
## Security Model
This project uses a defense-in-depth security approach (see `security.py` and `client.py`):
1. **OS-level Sandbox:** Bash commands run in an isolated environment
2. **Filesystem Restrictions:** File operations restricted to the project directory only
3. **Bash Allowlist:** Only specific commands are permitted:
- File inspection: `ls`, `cat`, `head`, `tail`, `wc`, `grep`
- Node.js: `npm`, `node`
- Version control: `git`
- Process management: `ps`, `lsof`, `sleep`, `pkill` (dev processes only)
Commands not in the allowlist are blocked by the security hook.
---
## Web UI Development
The React UI is located in the `ui/` directory.
### Development Mode
```bash
cd ui
npm install
npm run dev # Development server with hot reload
```
### Building for Production
```bash
cd ui
npm run build # Builds to ui/dist/
```
**Note:** The `start_ui.bat`/`start_ui.sh` scripts serve the pre-built UI from `ui/dist/`. After making UI changes, run `npm run build` to see them when using the start scripts.
### Tech Stack
- React 18 with TypeScript
- TanStack Query for data fetching
- Tailwind CSS v4 with neobrutalism design
- Radix UI components
- WebSocket for real-time updates
### Real-time Updates
The UI receives live updates via WebSocket (`/ws/projects/{project_name}`):
- `progress` - Test pass counts
- `agent_status` - Running/paused/stopped/crashed
- `log` - Agent output lines (streamed from subprocess stdout)
- `feature_update` - Feature status changes
---
## Configuration
AutoForge reads configuration from a `.env` file. The file location depends on how you installed AutoForge:
| Install method | Config file location | Edit command |
|---|---|---|
| npm (global) | `~/.autoforge/.env` | `autoforge config` |
| From source | `.env` in the project root | Edit directly |
A default config file is created automatically on first run. Use `autoforge config` to open it in your editor, or `autoforge config --show` to print the active values.
### N8N Webhook Integration
Add to your `.env` to send progress notifications to an N8N webhook:
```bash
# Optional: N8N webhook for progress notifications
PROGRESS_N8N_WEBHOOK_URL=https://your-n8n-instance.com/webhook/your-webhook-id
```
When test progress increases, the agent sends:
```json
{
"event": "test_progress",
"passing": 45,
"total": 200,
"percentage": 22.5,
"project": "my_project",
"timestamp": "2025-01-15T14:30:00.000Z"
}
```
### Using GLM Models (Alternative to Claude)
Add these variables to your `.env` file to use Zhipu AI's GLM models:
```bash
ANTHROPIC_BASE_URL=https://api.z.ai/api/anthropic
ANTHROPIC_AUTH_TOKEN=your-zhipu-api-key
API_TIMEOUT_MS=3000000
ANTHROPIC_DEFAULT_SONNET_MODEL=glm-4.7
ANTHROPIC_DEFAULT_OPUS_MODEL=glm-4.7
ANTHROPIC_DEFAULT_HAIKU_MODEL=glm-4.5-air
```
This routes AutoForge's API requests through Zhipu's Claude-compatible API, allowing you to use GLM-4.7 and other models. **This only affects AutoForge** - your global Claude Code settings remain unchanged.
Get an API key at: https://z.ai/subscribe
### Using Ollama Local Models
Add these variables to your `.env` file to run agents with local models via Ollama v0.14.0+:
```bash
ANTHROPIC_BASE_URL=http://localhost:11434
ANTHROPIC_AUTH_TOKEN=ollama
API_TIMEOUT_MS=3000000
ANTHROPIC_DEFAULT_SONNET_MODEL=qwen3-coder
ANTHROPIC_DEFAULT_OPUS_MODEL=qwen3-coder
ANTHROPIC_DEFAULT_HAIKU_MODEL=qwen3-coder
```
See the [CLAUDE.md](CLAUDE.md) for recommended models and known limitations.
### Using Vertex AI
Add these variables to your `.env` file to run agents via Google Cloud Vertex AI:
```bash
CLAUDE_CODE_USE_VERTEX=1
CLOUD_ML_REGION=us-east5
ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
ANTHROPIC_DEFAULT_OPUS_MODEL=claude-opus-4-5@20251101
ANTHROPIC_DEFAULT_SONNET_MODEL=claude-sonnet-4-5@20250929
ANTHROPIC_DEFAULT_HAIKU_MODEL=claude-3-5-haiku@20241022
```
Requires `gcloud auth application-default login` first. Note the `@` separator (not `-`) in Vertex AI model names.
---
## Customization
### Changing the Application
Use the `/create-spec` command when creating a new project, or manually edit the files in your project's `prompts/` directory:
- `app_spec.txt` - Your application specification
- `initializer_prompt.md` - Controls feature generation
### Modifying Allowed Commands
Edit `security.py` to add or remove commands from `ALLOWED_COMMANDS`.
---
## Troubleshooting
**"Claude CLI not found"**
Install the Claude Code CLI using the instructions in the Prerequisites section.
**"Not authenticated with Claude"**
Run `claude login` to authenticate. The start script will prompt you to do this automatically.
**"Appears to hang on first run"**
This is normal. The initializer agent is generating detailed test cases, which takes significant time. Watch for `[Tool: ...]` output to confirm the agent is working.
**"Command blocked by security hook"**
The agent tried to run a command not in the allowlist. This is the security system working as intended. If needed, add the command to `ALLOWED_COMMANDS` in `security.py`.
**"Python 3.11+ required but not found"**
Install Python 3.11 or later from [python.org](https://www.python.org/downloads/). Make sure `python3` (or `python` on Windows) is on your PATH.
**"Python venv module not available"**
On Debian/Ubuntu, the venv module is packaged separately. Install it with `sudo apt install python3.XX-venv` (replace `XX` with your Python minor version, e.g., `python3.12-venv`).
**"AutoForge is already running"**
A server instance is already active. Use the browser URL shown in the terminal, or stop the existing instance with Ctrl+C first.
**Virtual environment issues after a Python upgrade**
Run `autoforge --repair` to delete and recreate the virtual environment from scratch.
---
## License
This project is licensed under the GNU Affero General Public License v3.0 - see the [LICENSE.md](LICENSE.md) file for details.
Copyright (C) 2026 Leon van Zyl (https://leonvanzyl.com)