OperaFOR is a minimalist graphical interface for LLM and RAG agents, designed to provide fast and simple access to powerful search tools via the MCP protocol. Its streamlined architecture—just a single HTML file and a single Python file—enables rapid iteration and creativity.
- Minimalist interface: just one HTML page, one Python file.
- Access to advanced search tools via MCP (Model Context Protocol).
- Local execution: runs with pywebview and can be packaged with pyinstaller.
- A task-oriented experience: the interface emphasizes tasks, making it clear that answers are not instantaneous (unlike a chatbot).
- Supports RAG (Retrieval-Augmented Generation) and LLM agents.
- Organize your work: manage sandboxes/conversations for different sessions.
- Integrated Git system: sandboxes are versioned conversations, allowing rollback and version control of your research sessions.
Install the required dependencies:
uv pip install .To start the application in development mode :
uv run main.pyThe interface will automatically open in a pywebview window.
A standalone Windows executable is available on the GitHub Releases page — no Python installation required!
- Configure your API key and LLM settings in the configuration panel.
- Create sandboxes (similar to conversations) to organize your tasks or research.
- Each sandbox is versioned using an integrated Git system, enabling you to rollback, track changes, and manage versions of your conversations.
- Launch requests, follow their progress, and view results in a task-oriented timeline interface.
main.py: FastAPI server, sandboxes management, MCP integration, pywebview launcher.index.html: unique, responsive, task-oriented user interface.
This project received funding from the French ”IA Cluster” program within the Artificial and Natural Intelligence Toulouse Institute (ANITI) and from the "France 2030" program within IRT Saint Exupery. The authors gratefully acknowledge the support of the FOR projects.
This project is open source, under the MIT license.