Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
| Date | Stars |
|---|---|
| 2026-07-24 | 21167 |
| 2026-07-25 | 21176 |
| 2026-07-28 | 21176 |
| 2026-07-30 | 21176 |
| 2026-07-31 | 21215 |
| 2026-08-06 | 21215 |
Today
— stars today
This week
+39 stars this week
This month
— stars this month
Momentum
39.0
growth rate 0.18%/day
<div align="center">
# Agents Towards Production
### _The open-source playbook for turning AI agents into real-world products._
**Agents Towards Production is your go‑to resource for building production‑ready GenAI agents that scale from prototype to enterprise.** Tutorials cover stateful workflows, vector memory, real‑time web search APIs, Docker deployment, FastAPI endpoints, security guardrails, GPU scaling, browser automation, fine‑tuning, multi‑agent coordination, observability, evaluation, and UI development.
### ⭐ **If you find value in this project, PLEASE STAR IT to help others discover these tutorials!**
<!-- SEO Keywords: generative ai agents, production deployment, langgraph, langchain, rag, retrieval augmented generation, memory, observability, guardrails, gpu deployment, orchestration, multi agent, prompt engineering, tutorials, guide -->
[](https://www.linkedin.com/in/nir-diamant-759323134/)
[](https://twitter.com/NirDiamantAI)
[](https://discord.gg/cA6Aa4uyDX)
[](https://github.com/sponsors/NirDiamant)
</div>
---
<h2 align="center">🎓 From prototype to production, as a method</h2>
<div align="center">
**[Prompt to Production](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-free-module-cta&target=https%3A%2F%2Fwww.diamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dagents-towards-production&retarget=0&text=course-free-module-cta)** - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 17 modules, each pairing a video lecture with a hands-on lab, from your first structured prompt to a working production system.
### 🎁 Try a full module, free
<table>
<tr>
<td align="center">🎬<br><b>7-minute<br>video lecture</b></td>
<td align="center">🛠️<br><b>Hands-on<br>tutorial</b></td>
<td align="center">🤖<br><b>AI assistant<br>inside Claude Code</b></td>
</tr>
</table>
One `npm install` adds the module's AI assistant to your Claude Code, and it guides you through the tutorial as you build.
<a href="https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-free-module-cta&target=https%3A%2F%2Fwww.diamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dagents-towards-production&retarget=0&text=course-free-module-cta"><img src="images/free-module-button.svg" alt="Claim your free module" width="420"></a>
</div>
---
<div align="center">
> **28 production-grade tutorials** covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.
## 💎 Tutorial Sponsors
<p align="center"><em>
Companies that have contributed step-by-step tutorials to this repository.<br>
Click a logo to open the tutorial. Use Ctrl‑/⌘‑click to keep this page open.
</em></p>
<!-- ─────────── 1st row – 4 sponsors ─────────── -->
<table align="center" cellpadding="20"
style="table-layout:fixed; width:100%; border-collapse:collapse;">
<tr align="center" valign="top">
<!-- LangChain -->
<td width="200" valign="bottom">
<a href="tutorials/LangGraph-agent" title="Open LangChain tutorial">
<picture>
<source media="(prefers-color-scheme: dark)"
srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_langchain_white.png">
<img src="assets/reExcerpt of 38,276 characters
Read on GitHubNir Diamant · DiamantAI
165
Fareed Khan · Pakistan
14
Nitish Gourishetty
6
Ran
3
Etisha Garg · India
3
Claude · @anthropics
2
2
Tyler Hutcherson · Redis
2
Matan kotick
1
Mateo Torres · @ArcadeAI · Brazil
1
Rami Krispin · United States
1
Sandaru Lokudadalla
1
1
Shiv
1
Gilad Keren
1
Shawnee Chase
1
Yossi Elkrief
1
Amit Ziv · Israel
1
Andrew Brookins · Redis · United States
1
Bruce Wen · Ericsson AB · Sweden
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4f078b68db97823d, topic:ai-agents, topic:agents, topic:agent-framework