Woozlit AI - Agentic Coding Assistant
npm install woozlitbash
npm install -g woozlit
`
Features
- Agentic AI: Executes complex tasks (coding, testing, deployment) autonomously
- MCP Support: Use external tools (Computer Use, Filesystem, etc.) via Model Context Protocol
- System Control: Full access to shell commands, file system, and background processes
- Auto-Correction: Automatically detects and attempts to fix errors during execution
- Rollback: Undo AI file changes with /rollback command
- History: Local conversation history with 1-week retention
- Cross-Platform: Windows, macOS, and Linux support with platform-aware commands
Usage
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`bash
woozlit
or
woozlit chat
`
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`bash
woozlit login
`
Opens browser for authentication. Required before using chat.
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`bash
woozlit logout
`
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`bash
woozlit whoami
`
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`bash
woozlit ask "create a hello world file"
`
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`bash
woozlit config model
`
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`bash
woozlit rules list
woozlit rules add "always use typescript"
woozlit rules clear
`
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`bash
woozlit init
`
Creates .woozlit/ folder with rules.md and context.md.
Chat Commands
Inside chat session:
| Command | Description |
|---------|-------------|
| /exit | Exit chat |
| /clear | Clear conversation |
| /model | Switch AI model |
| /mcp | List connected tools |
| /usage | Check token usage |
| /rollback | Undo last AI file change |
| /help | Show help |
Available Models
All models are provided via OpenRouter:
- MiMo V2 (default)
- Qwen3 235B / Coder
- Llama 3.3 70B / 4 Maverick
- Devstral Small
- Mistral Small 3.2
- Nemotron Nano 12B
- Kimi K2
- GLM 4.5 Air
- Kat Coder Pro
- DeepSeek R1T Chimera
- more soon
MCP Support
Woozlit CLI supports the Model Context Protocol (MCP), allowing the AI to use external tools.
Manage MCP Servers:
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Install servers from GitHub or built-in presets:
`bash
Install specific tools (e.g. Chrome Control)
woozlit mcp install mcp-chrome-bridge
Follow the on-screen instructions to finish setup
Install any MCP server from GitHub
woozlit mcp install https://github.com/owner/repo.git
`
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You can also manually add servers via CLI or config file.
CLI:
`bash
Add standard MCP server (stdio)
woozlit mcp add sqlite uvx mcp-server-sqlite --db test.db
Add HTTP MCP server (e.g. for bridges)
woozlit mcp add-http mcp-chrome http://127.0.0.1:12306/mcp
`
Config File (mcp.json):
Create a mcp.json file in your project root or home directory (~/.woozlit/mcp.json):
`json
{
"mcpServers": {
"mcp-chrome": {
"type": "streamable-http",
"url": "http://127.0.0.1:12306/mcp"
},
"my-server": {
"type": "stdio",
"command": "node",
"args": ["./server.js"]
}
}
}
`
Once added, the AI can automatically discover and use tools provided by these servers.
Use /mcp` in the chat to see currently active tools.