For Developers #

LAMB is an Open Source Project #

LAMB is an open source project developed under GPL v3 license. We’re on GitHub and we greatly appreciate community collaborations and contributions.

🤝 Contributions #

We appreciate all types of contributions:

• Pull Requests with new features or improvements
• Bug fixes and reported issues
• Documentation and translations
• Testing and issue reporting
• Ideas and improvement suggestions

📚 Technical Documentation #

We maintain complete and updated documentation for developers:

System Architecture #

Complete document on LAMB architecture, including:

• System components
• Data architecture
• Completion pipeline
• Plugin architecture
• Frontend and backend architecture

Product Requirements Document (PRD) #

Product requirements document with:

• Functional specifications
• Use cases
• Workflows
• Technical requirements

🛠️ Tech Stack #

• Backend: FastAPI (Python 3.11+)
• Frontend: Svelte 5, SvelteKit
• Database: SQLite
• Vector Store: ChromaDB
• Containerization: Docker, Docker Compose

🚀 Deploy LAMB #

Both guides below are written to be handed directly to an AI coding agent (GitHub Copilot, Claude Code, Cursor, etc.) — the agent asks you a handful of questions (API keys, domain, ports) and deploys the whole stack for you, end to end.

🖥️ Local / Development Deployment #

Get a full LAMB stack running on your own machine with Docker Compose — no DNS, no TLS certificates, everything on localhost.

☁️ Production Deployment #

Deploy a production-ready LAMB instance to a cloud server (Hetzner Cloud), with your own domain and automatic HTTPS via Caddy.

💬 Community #

• GitHub Issues: To report bugs or request features
• GitHub Discussions: For questions and discussions
• Pull Requests: Welcome with improvements and new features

📖 Academic Publication #

If you use LAMB in your research, please cite our work:

“LAMB: An open-source software framework to create artificial intelligence assistants deployed and integrated into learning management systems”

• Authors: Marc Alier, Juanan Pereira, Francisco José García-Peñalvo, Maria Jose Casañ, Jose Cabré
• Journal: Computer Standards & Interfaces, Volume 92, March 2025
• DOI: 10.1016/j.csi.2024.103940