agent-book-code
Provides hands-on framework for building production AI agents, reducing time-to-implementation for teams needing autonomous task execution capabilities witho…
Companion code for the Chinese-language book 'Building an AI Agent from 0' (从0开始构建 AI 智能体). Readers build FunHarness, a working AI coding assistant, layer by layer on raw LLM APIs — tool calling, context management, permissions, hooks, multi-agent collaboration, and observability — without high-level agent frameworks. Includes a terminal UI and FunHarness Studio, a Windows desktop GUI for teaching. Python 3.12+ with uv.
- Generate boilerplate code for building your first AI agent from scratch
- Learn step-by-step patterns for integrating language models into agent workflows
- Reference real examples while implementing agent decision-making logic
Provides hands-on framework for building production AI agents, reducing time-to-implementation for teams needing autonomous task execution capabilities without starting from first principles.
Engineering teams building internal AI agent systems or exploring agentic workflows for operational automation.
https://github.com/hyyhf/agent-book-code
By hyyhf
How to Get It
See repository README
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Help me generate boilerplate code for building my first AI agent from scratch
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Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
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Evaluation
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license MIT.