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

🚀 Getting Started with Development #

1. Clone the repository:

   1 2	git clone https://github.com/Lamb-Project/lamb.git cd lamb

2. Set up environment:

   1 2	export LAMB_PROJECT_PATH=$(pwd) docker-compose up -d

3. Access services:

   • Frontend: http://localhost:5173
   • Backend: http://localhost:9099
   • Open WebUI: http://localhost:8080

💬 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