# CoAT research implementation

Research scripts that generate screen descriptions, action reasoning and expected outcomes, then predict Android GUI actions using the resulting Chain-of-Action-Thought context.

- Catalog URL: https://awesomecua.github.io/resources/github-imnearth-coat/
- Original source: https://github.com/IMNearth/CoAT
- Kind: framework
- Review: curated
- Scope: core
- Environments: android
- Topics: planning, mobile-navigation, action-prediction
- Evidence checked: 2026-10-17T12:30:53Z
- ID: github:imnearth/coat

## Limitations

The tree contains run_coat.py and coat/agent.py, model.py and evaluate.py, with API-backed model configuration. This verifies a released annotation/prediction implementation, not a live phone controller or a released checkpoint. AiTZ screens/annotations are linked through external Drive/Baidu bundles whose complete download inventory was not verified here. The README has an Apache-2.0 badge, but no license file or explicit component grant is present; code/data/weight rights remain unestablished.

- Record JSON: https://awesomecua.github.io/resources/github-imnearth-coat/record.json

## License declarations

- code: not recorded
- data: not recorded
- document: not recorded
- weights: not recorded

- code review: Apache-2.0 badge alone does not establish component-scoped source terms; the inspected non-truncated tree has no license file.
  Sources: https://raw.githubusercontent.com/IMNearth/CoAT/HEAD/README.md, https://api.github.com/repos/IMNearth/CoAT/git/trees/main?recursive=1

## Primary evidence

- https://raw.githubusercontent.com/IMNearth/CoAT/HEAD/README.md (retrieved 2026-10-17T12:30:53Z; SHA-256 7a9fb905b64f2760a137cd267a5e38dd343df1821eda8172b606ab7500d27731)
- https://api.github.com/repos/IMNearth/CoAT (retrieved 2026-10-17T12:30:53Z; SHA-256 d0c5056c9a74913f84a4f809bf01d9fd9ea325ac0a91b4c4a0a51220b2da9d68)
- https://api.github.com/repos/IMNearth/CoAT/git/trees/main?recursive=1 (retrieved 2026-10-17T12:32:04Z; SHA-256 29d84ed12dc25035fd539604b06f6cc113080b389edeb9aa605cfa55c5f28151)