{"data":{"slug":"nirdiamant-agents-towards-production","name":"agents-towards-production","tagline":"End-to-end, code-first tutorials for building production-grade GenAI agents","github_url":"https://github.com/NirDiamant/agents-towards-production","owner":"NirDiamant","repo":"agents-towards-production","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":20930,"forks":2784,"topics":["agent","agent-framework","agentic-ai","agents","ai-agents","deployment","genai","generative-ai","langgraph","llm","llms","mcp","mlops","multi-agent-systems","observability","production","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-07-04T12:53:24+00:00","url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-agents-towards-production","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-agents-towards-production","description":"End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.","homepage_url":null,"license":"Other","open_issues":10,"watchers":233,"ai_summary":"A repository containing 28 tutorials on how to take AI agents from prototype stage to enterprise deployment. Topics include stateful workflows, vector memory, real-time APIs, Docker usage, security best practices, GPU scaling solutions, multi-agent coordination techniques, among others.","readme_excerpt":"<div align=\"center\">\n\n# Agents Towards Production\n\n### _The open-source playbook for turning AI agents into real-world products._\n\n**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.\n\n### ⭐ **If you find value in this project, PLEASE STAR IT to help others discover these tutorials!** \n\n\n\n\n\n\n\n\n</div>\n\n---\n\n## 🎓 From prototype to production, as a method\n\n<div align=\"center\">\n\n**[Prompt to Production](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-waitlist-cta&target=https%3A%2F%2Fdiamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dagents-towards-production&retarget=0&text=course-waitlist-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. 16 lectures, each with a hands-on lab, from your first structured prompt to a working production system.\n\n**[Join the waiting list →](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-waitlist-cta&target=https%3A%2F%2Fdiamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dagents-towards-production&retarget=0&text=course-waitlist-cta)** · everyone on the list locks in the founding price, lower than public launch\n\n</div>\n\n\n---\n\n<div align=\"center\">\n\n> **28 production-grade tutorials** covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.\n\n## 💎 Tutorial Sponsors\n\n<p align=\"center\"><em>\nCompanies that have contributed step-by-step tutorials to this repository.<br>\nClick a logo to open the tutorial. Use Ctrl‑/⌘‑click to keep this page open.\n</em></p>\n\n\n<table align=\"center\" cellpadding=\"20\"\n       style=\"table-layout:fixed; width:100%; border-collapse:collapse;\">\n<tr align=\"center\" valign=\"top\">\n\n  \n  <td width=\"200\" valign=\"bottom\">\n    <a href=\"tutorials/LangGraph-agent\" title=\"Open LangChain tutorial\">\n      <picture>\n        <source media=\"(prefers-color-scheme: dark)\"\n                srcset=\"assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_langchain_white.png\">\n        <img src=\"assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_langchain.png\"\n             height=\"44\" style=\"max-width:180px;\" alt=\"LangChain - AI agent framework and workflow orchestration platform for building production-ready language model applications\">\n      </picture>\n    </a><br>\n    <sub><span style=\"white-space:nowrap;\">Agent Framework &amp; Workflows</span><br>\n      <a href=\"https://langchain.com\">\n        <img src=\"assets/repos_images/visit-site-badge.svg\" width=\"56\" height=\"16\" alt=\"Visit LangChain AI agent framework website\">\n      </a>\n    </sub>\n  </td>\n\n  \n  <td width=\"200\" valign=\"bottom\">\n    <a href=\"tutorials/agent-memory-with-redis\" title=\"Open Redis tutorial\">\n      <picture>\n        <source media=\"(prefers-color-scheme: dark)\"\n                srcset=\"assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_Redis_white.svg\">\n        <img src=\"assets/repos_images/sponsors_logos/trimmed_padded/trimmed_padded_Redis.png\"\n             height=\"44\" style=\"max-width:180px;\" alt=\"Redis - In-memory database and vector storage for AI agent memory, caching, and real-time data processing\">\n      </picture>\n    </a><br>\n    <sub><span style=\"white-space:nowrap;\">Memory &amp; Vector Database</span><br>\n      <a href=\"https://redis.io/try-free/?utm_source=nir&utm_med","github_created_at":"2025-06-16T17:33:44+00:00","created_at":"2026-07-07T17:36:31.518669+00:00","updated_at":"2026-07-07T19:44:37.712566+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"}],"tags":[{"slug":"llms","name":"llms"},{"slug":"deployment","name":"deployment"},{"slug":"observability","name":"observability"},{"slug":"agent-framework","name":"agent-framework"},{"slug":"production","name":"production"},{"slug":"generative-ai","name":"generative ai"},{"slug":"agentic-ai","name":"agentic-ai"},{"slug":"agent","name":"agent"}]}}