Drobiazkin/ai-agent-architecture

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips

58
Stars
10
Forks
34.4
Radar Score
Stable
Momentum

Scoring Breakdown

Impact18.2
Velocity39.1
Health53.7

Growth Metrics

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

Why it ranks

Steady growth — consistently collecting stars and contributors.

LLM Frameworks · inference engineTop 73% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
CC-BY-SA-4.0
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
34.4
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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