A formal workflow protocol that keeps AI coding agents on track through machine-enforced invariants, verified evidence, and structured context. Designed to keep deep, long-running projects coherent across sessions, agents, and months.
- GitHub stars
- 7
- License
- AGPL-3.0
- Added
- 2026-08-30
GitHub info
- GitHub stars
- 7
- License
- AGPL-3.0
- Primary language
- Rust
- Last push
- Aug 21, 2026, 2:17 AM
- Maintainer
- alxshelepenok
- Added
- 2026-08-30
Preview from README
Screenshots and GIFs extracted from the repository README (badges and avatars filtered out).
demo.png
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/demo.png
Areas with goals, work, and content health
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/areas.png
The Grove loop: on the left, the Discovery track chains Questions into Assumptions into Discoveries; on the right, the Project holds areas, each chaining Goals into Work into Evidence. Dotted edges close the loop: questions are asked against goals, assumptions target work, discoveries guide goals, and evidence distills back into discoveries.
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/diagram.png
Graph with archived nodes included
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/graph_archived.png
Interactive graph view
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/graph.png
Execution packet of a work item
https://raw.githubusercontent.com/alxshelepenok/grove/main/.github/assets/packet.png
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