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agent-book-code

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

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.

43 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

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.

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https://github.com/hyyhf/agent-book-code

By hyyhf

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
See repository README

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me generate boilerplate code for building my first AI agent from scratch
CostFree

Trust Signals Auto-scanned

Stars43Contributors1Last updated2026-08-13LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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