Zorkinator plays Zork I with a harness that turns every death into a lesson instead of forgetting it. It builds its own map and memory as it plays, and a rule only earns the right to block a risky move after it's proven, by mechanically replaying every past game, that it actually would have prevented a death. Everything it learns is stored and versioned in MongoDB Atlas, so you can watch the same model go from clueless to competent, one game at a time.
Team
+1Placement
ParticipantRipple designs circuit boards from plain English, grades them against hidden checks, and evolves its own harness from the failures, going from 0/4 to 3/4 on…
+1Offload learns the work you repeat, so next time you can hand it over. Its engine, REM (Replay · Evolve · Merge), is an agent harness with a day/night cycle…
Recursive Computer Use is a local-first desktop automation harness that enables AI agents to execute tasks on your computer, verify outcomes locally, and…
Da Vinci is a recursive improvement CAD harness designed to support physical engineering tasks through specialized AI agents, programmatic CAD and automated…
CyclopsDiary gives factory workers wearing Meta AI glasses a shared memory of the floor. Every worker's glasses feed one MongoDB memory that keeps what was…
A harness that teaches itself what context to show Jev, TypeSafe's fast decision model, proves the result on a storm it never saw, and can't cheat because…
