oxbshw/LLM-Agents-Ecosystem-Handbook

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

539
Stars
85
Forks
47.2
Radar Score
Stable
Momentum

Scoring Breakdown

Impact59.4
Velocity32.1
Health49.0

Growth Metrics

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

Why it ranks

Modest but positive momentum.

LLM Frameworks · inference engineTop 46% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
74%
Moderate 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
47.2
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.

Share & Embed

Display live Radar metrics in your documentation, website, or social profiles.

View on GitHub