{"repo":"Prompthon-IO/agent-systems-handbook","free":true,"listed":false,"github":"https://github.com/Prompthon-IO/agent-systems-handbook","clone":"git clone https://github.com/Prompthon-IO/agent-systems-handbook.git","description":"A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.","language":"MDX","stars":314,"topics":["a2a","agent-framework","agentic-ai","ai-agents","autonomous-agents","developer-tools","generative-ai","langgraph","llm-agents","llm-applications"],"license":null,"category":"ai-agents","readme_excerpt":"Agent Systems Handbook by Prompthon AI-agent demos are easy to find. Production-ready agent systems are harder to understand. This handbook maps the workflows, tools, memory systems, context engineering, MCP/A2A interoperability, evaluation, observability, and multi-agent architecture behind real-world AI agents. Use it to understand, design, build, and operate production-minded AI agents — from first principles to framework choices and implementation patterns. labs.prompthon.io Organization · Repository · Star · Watch updates · Contribute source · Issues · Discord --- Overview Prompthon Agentic Labs publishes the Agent Systems Handbook by Prompthon: an AI-native field guide for students, practitioners, and builders exploring modern agent systems from different angles. Built on learn, question, and innovate , the lab is shaped by learners and grounded in real industry practice. It helps readers understand the space, apply AI effectively, or build real systems through parallel paths rather than a single track. Why This Lab Fits AI-Native Learners, Practitioners, And Builders Built on learn, question, and innovate This repository encourages active learning, critical thinking, and experimentation rather than passive consumption. Built by learners, not only for learners Many contributors are learners themselves. That keeps the material close to the questions, habits, and learning paths that students, new grads, and next-generation AI-native builders actually have. Guided by real ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Prompthon-IO","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Prompthon-IO/agent-systems-handbook/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}