Choosing the Right Framework
Learn how to select the perfect agentic AI framework for your project
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0 / 5 completedThe 4-Criteria Evaluation Framework
Use these four criteria to systematically evaluate any agentic AI framework. Each criterion has specific questions to answer and clear indicators of good vs bad fits.
1
Feature Coverage
Does the framework support your required features out-of-the-box?
•Multi-agent support?
•RAG capabilities?
•Tool calling?
•Memory systems?
✓ Green Flag
80%+ features available natively
✗ Red Flag
Need significant custom implementation
2
Learning Curve
How quickly can your team become productive?
•Documentation quality?
•Example availability?
•Concept complexity?
•API simplicity?
✓ Green Flag
Team productive in < 1 week
✗ Red Flag
Months to understand architecture
3
Community & Support
Is there an active ecosystem to help when stuck?
•GitHub activity?
•Discord/Forum activity?
•Tutorial availability?
•Issue resolution speed?
✓ Green Flag
Active community, fast responses
✗ Red Flag
Ghost town, stale issues
4
Production Readiness
Can you deploy this to production confidently?
•Monitoring tools?
•Error handling?
•Scaling patterns?
•Security practices?
✓ Green Flag
Battle-tested, production guides
✗ Red Flag
Experimental, no production docs
Interactive: Should You Use an Existing Framework?
Answer these 4 questions to get a recommendation:
1. What is your primary use case?
2. What is your development timeline?
3. How much control do you need?
4. What is your team's experience level?