End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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查看完整 README ↗AI Agents Made Simple reached #1 in Software Development, Software Engineering and Software Design Tools on Amazon.com's Kindle Store. A decision guide to building AI agents that work: 28 chapters, 148 illustrations, no code. Get the book on Amazon →
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.
Related repos: RAG Techniques · GenAI Agents · Prompt Engineering · Agent Memory Techniques
AI Agents Made Simple - the decision guide to building agents that work: 28 chapters on what each pattern does, what breaks, what it costs, and when it is overkill. No code.
28 production-grade tutorials covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.
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