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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.

The course is live. Every module is out, lecture and lab.

🎁 Try it on your own repo, free

Your coding agent starts every session knowing nothing about your project, so it guesses. Paste one line into the agent you already have open, and about fifteen minutes later your repository has a docs layer written from the code itself, plus a card scoring what your agent knew before and after.

We ran it on six repositories you already depend on. Each one was asked five questions about itself, cold, then again after the layer was written. The last column counts statements in that project's own documentation that its own code disproves:

| repo | before | after | own docs its code disproves | |---|---|---|---| | fastapi | 2 of 5 | 5 of 5 | 2 | | flask | 3 of 5 | 5 of 5 | 6 | | django | 3 of 5 | 4 of 5 | 1 | | express | 2 of 5 | 4 of 5 | 4 | | requests | 2 of 5 | 4 of 5 | 0 | | langchain | 5 of 5 | 4 of 5 | 5 |

Flask's six include four documentation examples that raise TypeError when you run them. Langchain scored lower afterwards, because it already ships a 380-line agent instruction file and the cold read was grading theirs; that row is in the table anyway.

Clone any of those repos, paste the same line, and check the number yourself. No signup.

<a href="https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-free-module-direct&target=https%3A%2F%2Fp2p-course.diamant-ai.com%2Flectures%2F00-present%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dagents-towards-production-direct&retarget=0&text=course-free-module-direct"><img src="images/free-module-button.svg" alt="Claim your free module" width="420"></a>

👉 Get the full course

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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> <sub><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" h