An open-source educational resource providing a bilingual AI agent book with independently runnable companion code demos across 10 chapters. Demos require external LLM API keys to execute, and some reproduction guides depend on separately cloning external repositories.
Project overview
Combines a full open-source book text in Chinese, English, and Tamil with real-world verified, chapter-organized companion demo projects.
Knowledge Q&A · Coding & Development · Learning & Education
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Developers, AI engineers, and researchers seeking an educational resource that pairs open-source book text with runnable, real-world verified agent and RAG demo projects.
Learners who read Chinese, English, or Tamil and prefer studying from PDF versions or source markdown.
Key capabilities
Provides the full text of the AI agent book in Chinese, English, and Tamil PDF versions with source markdown.
Chapter-organized companion code examples (such as search agents, context ablation, and coding agents) configured to run with an API Key.
Demonstrates cross-platform local LLM deployment using vLLM or Ollama with tool calling support.
Includes perception, execution, and collaboration MCP server examples using the Model Context Protocol.
An event-driven async agent demo with inbox event queuing, parallel tool execution, and interruption capabilities.
Limitations and risks
Some reproduction guides depend on external repositories that must be cloned separately.
Running the companion code requires external LLM API keys, which may incur costs.
Getting started
Setup difficulty is medium. Clone the repository, navigate to a specific chapterN/project-name directory, configure an API Key, and run via Python. Building the PDF book requires installing pandoc and LaTeX.
Alternatives and comparisons
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