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ruvnet/ruflo

Breakoutrank #10

🌊 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

73.4k+4k · 7d 8.7k 236est. MITTypeScriptpushed 11h ago
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Composite

77

conf 65%

Momentum

78

conf 60%

Vitality (PVI)

77

conf 67%

Community

69

conf 60%

Security & maint.

86

conf 85%

Ecosystem influence

73

conf 60%

Opportunity

68

conf 60%

Breakout · 7d

82%

conf 71%

Executive summary

ruflo is currently classified as breakout with a composite score of 77/100. Momentum (78) and vitality (77) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 4,026 stars against a 73.4k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 82%.

Analyst note

AI-drafted · numbers from tracked data

The momentum-vs-vitality relationship in this case indicates that the project has been gaining traction, with a significant increase in stars and users. However, the Vitality score suggests that the underlying user base is relatively stable, which may be crucial for sustaining growth. This could imply that adopting or building on the ruflo project now might provide a solid foundation for future development and scaling.

90-day trajectory

+15.1k · 30d
2026-06-302026-09-27

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%100
Star accelerationest.15%57
Fork velocityest.10%100
Contributor growthest.10%77
Issue activity growthest.10%90
PR activity growthest.10%53
External mention velocityest.10%52
Release event impactest.5%63
Trending-rank persistenceest.5%76

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%99
Release cadenceest.15%79
PR responsivenessest.15%80
Issue responsivenessest.15%44
Contributor diversityest.10%88
Maintainer continuityest.10%90
Documentation qualityest.5%78
Dependency freshnessest.5%75
Security hygieneest.5%35

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%99
License clarity20%92
Maintenance status25%99
Dependency stalenessest.15%42
Bus factorest.15%81

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%95
Quality-weighted dependentsest.20%65
Documentation citationsest.15%32
Contributor overlapest.15%63
Registry adoptionest.10%74
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption