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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!

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<h2 align="center">🎓 From prototype to production, as a method</h2> <div align="center">

Prompt to Production - 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.

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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/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_langchain.png" height="44" style="max-width:180px;" alt="LangChain - AI agent framework and workflow orchestration platform for building production-ready language model applications"> </picture> </a><br> _{<span style="white-space:nowrap;">Agent Framework &amp; Workflows</span><br> <a href="https://langchain.com"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit LangChain AI agent framework website"> </a>} </td> <!-- Redis --> <td width="200" valign="bottom"> <a href="tutorials/agent-memory-with-redis" title="Open Redis tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_Redis_white.svg"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_Redis.png" height="44" style="max-width:180px;" alt="Redis - In-memory database and vector storage for AI agent memory, caching, and real-time data processing"> </picture> </a><br> _{<span style="white-space:nowrap;">Memory &amp; Vector Database</span><br> <a href="https://redis.io/try-free/?utm_source=nir&utm_medium=cpa&utm_campaign=2025-05-ai_in_production-influencer-nir&utm_content=sd-software_download-7013z000001WaRY"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Redis in-memory database and vector storage website"> </a>} </td> <!-- Contextual AI --> <td width="200" valign="bottom"> <a href="tutorials/agent-RAG-with-Contextual" title="Open Contextual AI tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_contextual_white.png"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_contextual_black.png" height="44" style="max-width:180px;" alt="Contextual AI - Production-ready RAG platform for building enterprise-grade retrieval augmented generation systems"> </picture> </a><br> _{<span style="white-space:nowrap;">RAG &amp; Knowledge Management</span><br> <a href="https://app.contextual.ai/?utm_campaign=agents-towards-production&utm_source=diamantai&utm_medium=github&utm_content=notebook"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Contextual AI RAG platform website"> </a>} </td> <!-- Bright Data --> <td width="200" valign="bottom"> <a href="tutorials/agent-with-brightdata" title="Open Bright Data tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_brightdata_white.svg"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_brightdata.png" height="44" style="max-width:180px;" alt="Bright Data - Web scraping and data collection platform for AI training and agent data gathering"> </picture> </a><br> _{<span style="white-space:nowrap;">Web Data Platform</span><br> <a href="https://brightdata.com/ai?utm_source=brand&utm_campaign=brnd-mkt_github_nirdiamant_logo"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Bright Data web scraping platform website"> </a>} </td> </tr> </table> <!-- ─────────── 2nd row – 3 sponsors ─────────── --> <table align="center" cellpadding="20" style="table-layout:fixed; width:100%; margin-top:16px; border-collapse:collapse;"> <tr align="center" valign="top"> <!-- Tavily --> <td width="200" valign="bottom"> <a href="tutorials/agent-with-tavily-web-access" title="Open Tavily tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_tavily_white.png"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_tavily.png" height="44" style="max-width:180px;" alt="Tavily - Real-time web search API for AI agents with intelligent content extraction and summarization"> </picture> </a><br> _{<span style="white-space:nowrap;">Real‑time Web Search API</span><br> <a href="https://app.tavily.com/home/?utm_source=github&utm_medium=referral&utm_campaign=nir_diamant"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Tavily real-time web search API website"> </a>} </td> <!-- Arcade --> <td width="200" valign="bottom"> <a href="tutorials/arcade-secure-tool-calling" title="Open Arcade tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_arcade_white_tight.png"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_arcade_black.png" height="44" style="max-width:180px;" alt="Arcade - Multi-user tool calling platform for secure OAuth2 authentication and human-in-the-loop safety controls"> </picture> </a><br> _{<span style="white-space:nowrap;">MCP Runtime</span><br> <a href="https://docs.arcade.dev/en/home?utm_source=github&utm_medium=paid_sponsorship&utm_campaign=agents_toward_prod&utm_content=readme_placement"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Arcade multi-user tool integration platform website"> </a>} </td> <!-- JetBrains --> <td width="200" valign="bottom"> <a href="tutorials/kotlin-agent-with-koog" title="Open JetBrains Koog tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_jetbrains_white.svg"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_jetbrains.png" height="44" style="max-width:180px;" alt="JetBrains - Creator of Kotlin and the Koog AI agent framework for building intelligent applications on the JVM"> </picture> </a><br> _{<span style="white-space:nowrap;">Kotlin AI Agent Framework</span><br> <a href="https://kotlinlang.org/?utm_source=github&utm_medium=influencers&utm_campaign=kotlin_nir_supporter_1"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Kotlin website"> </a>} </td> </tr> </table> <!-- ─────────── 3rd row – 3 sponsors ─────────── --> <table align="center" cellpadding="20" style="table-layout:fixed; width:100%; margin-top:16px; border-collapse:collapse;"> <tr align="center" valign="top"> <!-- Mem0 --> <td width="200" valign="bottom"> <a href="tutorials/agent-memory-with-mem0" title="Open Mem0 tutorial"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/repos_images/sponsors_logos/trimmed_padded/Mem0%20Word%20Logo.png"> <img src="assets/repos_images/sponsors_logos/trimmed_padded/Mem0 Word Logo Dark.png" height="44" style="max-width:180px;" alt="Mem0 - Self-improving memory system for AI agents with hybrid vector and graph storage"> </picture> </a><br> _{<span style="white-space:nowrap;">Self-Improving AI Memory</span><br> <a href="https://mem0.dev/github/nir"> <img src="assets/repos_images/visit-site-badge.svg" width="56" height="16" alt="Visit Mem0 AI memory platform website"> </a>} </td> <!-- RunPod --> <td width="200" valign="bottom"> <a href="tutorials/runpod-gpu-deploy" title="Open RunPod tutorial"> <picture> <source media="(prefers-