agent-thanks
VerifiedTrace the open source a coding task actually used, with evidence you can review and export.
- Rank
- #22
- All-time votes
- 15
Developer Tools tool by 유진 홍 on Smol Launch.
- Launched
- September 2026
- Website
- github.com
- Maker
- @yujinhong3
Screenshots
About
agent-thanks is a consent-first Python CLI for reconstructing the open-source footprint of a single coding task.
It compares dependency files against a Git baseline and can optionally scan a local agent transcript. Every result includes its evidence: a newly added direct dependency, a clone or Git install command, a submodule, an explicit provenance line, or a GitHub URL that was only viewed. A bare URL stays a low-confidence reference and cannot be starred.
Detection is deterministic, with no second model. Session logs stay local. Package resolution can query PyPI, npm, or crates.io; --offline disables those lookups. Results can be reviewed in the terminal or exported as Markdown for a PR or release note.
Every eligible GitHub Star requires a separate, default-No y/N decision in an interactive terminal. There is no auto mode, approve-all flag, piped confirmation, or unattended Star path.
Try the read-only demo with Python 3.10+:
pipx install git+https://github.com/dbwls99706/[email protected]
agent-thanks demo
Reviews, comments, and launches
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View Week of Sep 28, 2026
agent-thanks
CurrentTrace the open source a coding task actually used, with evidence you can review and export.
Launched on September 28, 2026#2215 votes
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