GitHub Trending
ruvnet/ruflo
π The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Current momentum
Stars
77.9K
+663 since sync
Commits
100
in period
Active contributors
13
+0%
Issues closed
27
245.8h avg. resolution
Recorded trajectory
Movement you can verify over time.
Loading daily momentum history.
Behind the number
A score you can inspect.
Each signal contributes points to the total. These are capped GitHub samples, not complete activity counts or proof of adoption.
Development activity40.0 / 40 pts
100 commits Β· 38 opened PRs Β· 27 closed issues in 7 days
24 + 22 Γ ln(1 + weekly weighted activity). Activity = commits + 2 Γ opened PRs + closed issues. Signal bounded to 0β100, then weighted 40%.
Contributor breadth22.5 / 25 pts
13 sampled contributors in 7 days Β· 0% contributor-growth input
24 + 25 Γ ln(1 + contributors Γ β(7 / days)) + 0.15 Γ growth. Growth uses the 30-day windows; capped samples use a neutral 0 input. Signal bounded to 0β100, then weighted 25%.
Issue resolution6.7 / 20 pts
245.8 hours resolution input
105 β 9 Γ logβ(1 + hours). Uses sampled closed issues, not first-response time. With no resolved issues, the model uses 168 hours. Signal bounded to 0β100, then weighted 20%.
Release cadence15.0 / 15 pts
1 days cadence input
105 β 5 Γ cadence days. With fewer than two published releases, the model uses time since the last push as a proxy. Signal bounded to 0β100, then weighted 15%.
What changed in the recorded sample?
Loading recorded observationsβ¦
9.2K forks
Downstream adoption
984 open issues
Community demand
1 day cadence
Shipping consistency