Thru-Echoes/TRACE
View on GitHub ↗TRACE protocol for auditing decision-provenance in AI-assisted scientific workflows
22 ★2 forksPythonUpdated 18d ago
What you need to know
TRACE provides provenance tracking for AI-assisted work, recording who proposed what (AI versus human), whether decisions were accepted, rejected or iterated, contributions, to-dos and corrections.
Key features
- ✓Records AI versus human proposals
- ✓Decision status tracking
- ✓Contributions tracking
- ✓To-dos and corrections
Topics
ai-transparencyaudit-trailclaude-codehuman-ai-collaborationmcpmodel-context-protocolopen-scienceprovenancepythonreproducibilityresearch-integrityw3c-prov
- Stars
- 22★
- Forks
- 2
- Language
- Python
- License
- Apache-2.0
- Created
- 2026-02-02
- Last push
- 2026-08-17