LA
oxbshw/LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
505 79 +1/wk
GitHub
ai ai-agent ai-agents fine-tuning finetuning-llms freamework llm llmops local-development mcp-server memory rag
Trend
3
Star & Fork Trend (39 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
oxbshw/LLM-Agents-Ecosystem-Handbook has +1 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LLM-Agents-Ecosystem-Handbook | Minari | real-world-rails | ruby-fann |
|---|---|---|---|---|
| Stars | 505 | 505 | 505 | 506 |
| Forks | 79 | 63 | 23 | 43 |
| Weekly Growth | +1 | +0 | +1 | +0 |
| Language | Python | Python | Shell | C |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | MIT |
Capability Radar vs Minari
LLM-Agents-Ecosystem-Handbook
Minari
Maintenance Activity 0
Last code push 213 days ago.
Community Engagement 78
Fork-to-star ratio: 15.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 52
+1 stars this period — 0.20% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.