Jupyter Notebook
NirDiamant/agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
★ 21.8k
Stars
2.9k forks · 5 open issues
+4.7/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
41.8
Momentum / 100
see the breakdown below
16mo ago
Created
last push 6d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 14.5 | +4.7/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.60× the monthly pace |
| Freshness | 15 | 14.7 | last push 6d ago; decays to zero at 180 days |
| Scale | 15 | 12.6 | 21.8k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 41.8 | sum of the above |
Detail
| Topics | agentagent-frameworkagentic-aiagentsai-agentsdeploymentgenaigenerative-ailanggraphllmllmsmcpmlopsmulti-agent-systemsobservabilityproductionpythonragtutorials |
| Matched on | AI Agents (agentic-ai, ai-agents) RAG (rag) Agent Skills & MCP (mcp) |
| Short window | +33 stars over 7 days = 4.7/day |
| Long window | +203 stars over 26 days = 7.8/day |
| Lifetime average | 43.06 stars/day over 507 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |