DANCR R&D AI agents, running locally

I introduce DANCR, a self-driving research pipeline that continuously generates, prioritizes, and executes modeling strategies for Numerai no manual intervention required.

I built DANCR to leverage LM Studio’s local LLM inference, Tenacity-powered retries, and a trio of specialized agents that ideate, plan, and run experiments in Jupyter notebooks around the clock. Currently using Qwen3-8B.

Your feedback, suggestions and tests are welcome!

4 Likes