Choosing the Right Framework
Learn how to select the perfect agentic AI framework for your project
Your Progress
0 / 5 completedFramework Maturity Stages
Not all frameworks are ready for production. Understanding maturity stages helps you assess risk and set expectations appropriately.
🧪
Experimental
0-6 months old•Frequent breaking changes
•Sparse documentation
•Small community (<100)
•No production stories
Recommendation:
Avoid for production use. Good for research only.
🌱
Early Adoption
6 months - 2 years old•API stabilizing
•Growing documentation
•Active community (100-1,000)
•Some production use
Recommendation:
Suitable for non-critical applications. Expect some churn.
🏆
Mature
2+ years old•Stable API with rare breaking changes
•Comprehensive documentation
•Large community (1,000+)
•Many production deployments
Recommendation:
Safe for production. Proven track record.
Interactive: Maturity Metrics Explorer
Select a metric category to see what to look for:
GitHub Activity
Measures development velocity and community engagement
| Metric | Good | Warning | Bad |
|---|---|---|---|
| Stars | 10,000+ | 1,000-10,000 | <1,000 |
| Contributors | 100+ | 20-100 | <20 |
| Recent Commits | Daily | Weekly | Monthly |
| Issue Resolution | <7 days avg | 7-30 days | >30 days |
How to Check:
Visit the GitHub repository and examine insights/pulse sections
📊 Maturity Checklist
Before committing to a framework, verify:
□GitHub stars > 5,000 (indicates adoption)
□Last commit within 1 week (active development)
□Issues resolved within 14 days (responsive maintainers)
□Documentation with working examples
□Active Discord/forum (>500 members)
□At least 3 production case studies
□Monitoring/observability support
□No major breaking changes in last 6 months