nerdai/llm-agents-from-scratch

Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A

194
Stars
70
Forks
50.4
Radar Score
Rising
Momentum

Scoring Breakdown

Impact49.5
Velocity49.9
Health52.5

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Steady growth — consistently collecting stars and contributors.

MCPTop 40% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
98%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
50.4
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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