mcp-server

ai-agent-book: Understand AI Agents

Name: ai-agent-book: Understand AI Agents
Author: bojieli

Get design principles and code for AI agents with this book repository, for founders and developers.

44,243 stars4,876 forksPythonGuide quality 9/10Updated 9/2/2026100% free · open source

What it does

The ai-agent-book repository provides design principles and code for AI agents, allowing founders and developers to access a comprehensive guide on AI agent development.

When to use it

•When you need to design and implement AI agents for your startup
•When you require a comprehensive guide on AI agent development principles and practices
•When you want to access open-source code and examples for AI agent development

Ready-to-paste prompt

To get started with the book, open the `README.md` file and follow the instructions to access the book's contents and code examples.

Heads up: The repository is in Chinese, so a Chinese language pack or translation tool may be required to fully utilize the contents, and the code examples are in Python, so a Python environment is necessary to run them.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/ai-agent-book && curl -fsSL https://workflowstacks.com/api/skills/ai-agent-book/claude-skill -o ~/.claude/skills/ai-agent-book/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How ai-agent-book: Understand AI Agents works

Codeflow

Free to inspect

Ai-agent-book: Understand AI Agents is a very large Python project (~474k lines across 2167 code files, plus 407 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size

Very large codebase

~474k lines · 2167 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python

Needs API keys (.env)

Python 92%JavaScript 3%TeX 1%TypeScript 1%HTML 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
pyproject.toml
Dependencies and the commands it exposes
3
.env.example
The API keys and settings you must provide

What's in each folder

docs/Documentation37 files

chapter9/Folder1514 files

chapter5/Folder1360 files

chapter8/Folder1322 files

chapter3/Folder1163 files

chapter2/Folder870 files

chapter10/Folder869 files

chapter4/Folder859 files

READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month