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MOA:LONGCAT

MOA:LONGCAT model image

MOA:LONGCAT

credit: Longcat Studios

multi-model orchestration · Longcat Studios multi-persona MOA · 6-agent MOA improve loop over the recorded game prompt.

model dossier

Model sheet

Playable artifacts and benchmark context for this model page.

Road Hopper
0 builds
Robot-Filled Maze Shooter
1 builds
Ribbit Rush
0 builds
Builds
1 recorded outputs
Method
6-agent MOA improve loop
Runtime
Longcat Studios multi-persona MOA
Quant
multi-model orchestration
Bench
No local throughput sweep recorded

Generated game outputs

Versions are listed first for selection. Embedded outputs remain below for direct review.

Robot-Filled Maze Shooter 1 versions

maze_moa_longcat_00 · Robot-Filled Maze Shooter · v1fullscreen ↗ · compare
Robot-Filled Maze Shooter v1 MOA:LONGCAT maze_moa_longcat_00fullscreen ↗
UNDER RAPID CONSTRUCTION - WILL CHANGE
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why

Local agents need public test loops

Working on local agents matters because these tests are the first step toward an R&D base-model trust score: a practical signal for choosing which architectures and models deserve deeper research and development.

Agentic Arcade is a playable hello world for that work. Anyone can open the games, review the artifacts, and compare model behavior. The mission is maximal distribution of intelligence to all people.