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microsoft/ai-agents-for-beginners

Establishedrank #4

18 Lessons to Get Started Building AI Agents

77.1k+2.5k · 7d 25.3k 465est. MITJupyter Notebookpushed 21h ago
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Composite

79

conf 65%

Momentum

69

conf 60%

Vitality (PVI)

82

conf 67%

Community

76

conf 60%

Security & maint.

88

conf 85%

Ecosystem influence

86

conf 60%

Opportunity

60

conf 60%

Breakout · 7d

56%

conf 71%

Executive summary

ai-agents-for-beginners is currently classified as established with a composite score of 79/100. Momentum (69) and vitality (82) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 2,478 stars against a 77.1k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 56%.

Analyst note

AI-drafted · numbers from tracked data

The momentum-vs-vitality relationship suggests that the project has shown significant growth and adoption in recent times, with a high 7-day breakout probability indicating a strong likelihood of future success. However, this also implies that the project's vitality is currently at an all-time high, which may indicate a risk of complacency or over-reliance on momentum rather than sustained effort to maintain its current level of activity and engagement.

90-day trajectory

+10.1k · 30d
2026-07-172026-10-14

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%94
Star accelerationest.15%53
Fork velocityest.10%83
Contributor growthest.10%82
Issue activity growthest.10%42
PR activity growthest.10%67
External mention velocityest.10%30
Release event impactest.5%70
Trending-rank persistenceest.5%65

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

Project Vitality Index

Commit consistency20%97
Release cadenceest.15%93
PR responsivenessest.15%76
Issue responsivenessest.15%67
Contributor diversityest.10%99
Maintainer continuityest.10%64
Documentation qualityest.5%75
Dependency freshnessest.5%87
Security hygieneest.5%59

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

Security & maintenance

Release recency25%98
License clarity20%92
Maintenance status25%97
Dependency stalenessest.15%42
Bus factorest.15%100

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

Ecosystem influence

Dependent repositoriesest.30%100
Quality-weighted dependentsest.20%85
Documentation citationsest.15%67
Contributor overlapest.15%75
Registry adoptionest.10%74
Topic centralityest.10%100

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