openclaw

openclaw / clawsweeper

Public

ClawSweeper scans all issues and PRs and suggest what we can close, and why. It runs every PR / Issue once a week.

441
40
69% credibility
Found Apr 25, 2026 at 445 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

ClawSweeper is a conservative automated assistant that reviews open issues and pull requests in the OpenClaw project, generates analysis records, and proposes targeted closures to maintain focus.

How It Works

1
🔍 Discover ClawSweeper

You stumble upon ClawSweeper while exploring ways to keep busy project discussions organized.

2
📖 Read the welcome page

You open the main page and see a clear dashboard showing how it watches over thousands of open conversations in a big project.

3
📊 Check live updates

You feel amazed seeing real-time stats on reviewed items, closes proposed, and progress toward a tidy project.

4
👀 Browse recent reviews

You scroll through the latest decisions, where it smartly spots fixed problems or outdated ideas.

5
✅ See smart cleanups

It keeps important discussions alive but suggests closing the rest, making everything feel more focused.

🎉 Enjoy a healthier project

The main project now has fewer distractions, letting real work shine through effortlessly.

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Star Growth

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AI-Generated Review

What is clawsweeper?

ClawSweeper scans all open issues and PRs in the openclaw/openclaw repo, suggests what to close and why, then applies those closes conservatively. Built in JavaScript for Node 24, it runs daily on active items and once a week on older ones, using AI reviews to check for fixes on main, unreproducible bugs, or items better suited elsewhere. Maintainers get a live dashboard tracking proposed closes, review stats, and cadence coverage without manual triage.

Why is it gaining traction?

It stands out by prioritizing safety—only closing with high-confidence reasons like staleness over 60 days or main-branch fixes—while handling 9k+ open items at scale. The proposal-then-apply workflow lets you preview AI suggestions via generated markdown before acting, plus GitHub Actions dispatch for `apply_existing` runs. Developers notice the real-time metrics on fresh reviews and low failure rates, cutting backlog noise without risking valid bugs.

Who should use this?

Repo maintainers drowning in thousands of open issues and PRs, especially AI or gateway projects like openclaw. Teams wanting automated weekly scans to suggest closes on stale or resolved items, freeing time for real work. Not for small repos or those needing custom close logic.

Verdict

Worth forking for big-backlog JS projects—441 stars show niche appeal, solid docs, and working local CLI like `npm run plan` or `npm run apply-decisions`. Low 0.699999988079071% credibility score flags early maturity, so test on a subset first before full deploy.

(198 words)

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