by Prompthon-IO
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP, A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture.
# Add to your Claude Code skills
git clone https://github.com/Prompthon-IO/agent-systems-handbookPrompthon 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.
This repository encourages active learning, critical thinking, and experimentation rather than passive consumption.
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.
Through Prompthon programs and industry-facing guidance, the lab remains connected to how frontier teams think, build, iterate, and evaluate in real settings.
The content is created through an AI-native workflow that combines AI-assisted drafting, synthesis, iteration, and refinement with expert guidance and review.
The lab is organized for different kinds of learners and different intentions. Some people want broad understanding and trend awareness. Some want to apply AI tools to daily work and study. Some want to build real systems and applications. This repository supports all three without forcing one sequence.
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Choose the path that best matches what you want from AI right now. These are parallel tracks for different types of learners and builders, not a required sequence.
If you want to contribute to Prompthon Agentic Labs, start from the contributor docs rather than ad hoc internal working material.
Public contributions in this repository currently fit into these paths:
foundations/, patterns/, systems/, ecosystem/, or
case-studies/radar/examples/ foldersskills/contributor-kit/reference-notes/publications/ once a
lab page is ready for an outward-facing article or distribution surfaceStart with Contributing and the Contributor Kit. Those pages define the public workflow, templates, review standards, and placement rules for lab articles, notes, and code that belong in this repository.