Liblab.ai enables users to build internal applications by securely connecting to their databases and leveraging AI for full-stack development. It targets developers and power users seeking to rapidly prototype and deploy data-driven internal tools, offering a no-code-like experience with the flexibility of code generation.

How It Works

The platform utilizes AI to generate full-stack applications based on database schemas and user prompts. It employs secure tunneling via ngrok for local database access and AES-256 encryption for all data transmission, ensuring data privacy and security. The AI iteratively builds and auto-fixes the application, allowing for live preview and code download.

Quick Start & Requirements

• Primary install/run command: pnpm run quickstart (Docker recommended).
• Prerequisites: Docker, Anthropic API Key, Ngrok Auth Token.
• Setup: The quickstart command automates dependency installation, setup, and application startup.
• Documentation: liblab.ai

Highlighted Details

• Secure local database connection with end-to-end encryption.
• AI-driven full-stack application generation and auto-fixing.
• Support for multiple LLM providers (Anthropic, Google, OpenAI, etc.) and local models (Ollama, LM Studio).
• Extensible starter templates and custom user management plugins.

Maintenance & Community

The project is actively developed with regular releases. Community engagement is encouraged through GitHub Issues and a clear Governance Model.

Licensing & Compatibility

MIT License. Permissive for commercial use and closed-source linking.

Limitations & Caveats

The project is in "Early Development" (v0.0.1), indicating potential instability and ongoing changes. Telemetry is enabled by default and collects anonymous usage data, which can be disabled.