Gymnasium RL environment for training LLM agents to autonomously debug and fix Python code with secure sandboxing and test-driven feedback.

A multi-room collaborative IDE built with event-driven Socket.io state concurrency and isolated, secure sandbox execution environments.

Streamlit app that answers natural-language questions about tabular data using a multi-agent Gemini pipeline: plan → generate Python → sandbox → charts & summaries

🔥 A LLM based API to source, prepare, analyze, and visualize any data.

A lightweight, zero-dependency, headless webhook relay and data transformation pipeline. Configure pipelines via YAML and map payloads with isolated JavaScript.