# fathom.party

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Aarush Gupta](https://cerebralvalley.ai/u/bxptr)
- **GitHub:** https://github.com/bxptr/fathom
- **Website:** https://colab.research.google.com/drive/1ET99CMN5AnCKttNsHEnEkMy8gTwYy2zm
- **Demo video:** https://vimeo.com/1171565009?share=copy&fl=sv&fe=ci
- **Hugging Face:** https://huggingface.co/spaces/openenv-community/FATHOM-DM
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/62

We enable models to hillclimb non-computationally verifiable domains through a co-evolutionary training setup, where a Dungeon Master agent procedurally generates increasingly difficult escape-room worlds and a Hero agent learns to solve them through long-horizon, tool-based reasoning, external scratchpad planning, and recovery from uncertainty, with reward signals that shape exploration, inference, and correct execution.

We then validate that the learned behavior is not just map-specific by swapping the world surface from game objects (rooms/items/guards) to application-style entities (apps/docs/messages/apis) while keeping the same planning and interaction loop, showing measurable gains in reward and success under harder environments and richer task variants.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/62. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt