NirDiamant/agents-towards-production

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

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Established

These tutorials guide you in building and deploying AI agents that can perform complex tasks, manage information, and interact with web services at scale. You'll learn how to take a conceptual AI agent and turn it into a robust, real-world application. This resource is for AI/ML engineers and product developers looking to implement production-grade generative AI solutions.

18,171 stars. Actively maintained with 10 commits in the last 30 days.

Use this if you need to build and deploy complex AI agents that require features like memory, real-time web access, secure tool calling, and multi-agent coordination in a production environment.

Not ideal if you are looking for a simple, out-of-the-box AI agent for basic tasks or are not familiar with software development and deployment concepts.

AI product development Generative AI deployment AI agent engineering Scalable AI systems Machine learning operations
No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 22 / 25

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18,171

Forks

2,412

Language

Jupyter Notebook

License

Last pushed

Feb 22, 2026

Commits (30d)

10

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