by joyehuang · Agent Tool · ★ 104
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🤖 Learn OpenHarness The interactive companion to HKUDS/OpenHarness — built the day after OpenHarness launched. Zero to Hero in 12 chapters. Learn the architecture behind Claude Code: Agent Loop, Tools, Memory, Permissions, Multi-Agent & more. Live Demo → · Issues · Contributing · 中文版 Author: joyehuang.me · Xiaohongshu (32k likes) → ⭐ If this tutorial helps you understand AI Agents, star the repo — Goal: 10k stars! https://github.com/user-attachments/assets/72102803-c56d-4b37-816f-f530a7ce9dc2 Why this exists OpenHarness dropped and immediately blew up — the first open-source implementation of the AI Agent Harness pattern that powers Claude Code, Cursor, and the next generation of AI coding tools. But 11,700 lines of infrastructure code is a lot to digest. Concepts like Agent Loop, tool registries, permission tiers, and MCP aren't obvious from reading source alone. So I built this the next day: 12 interactive chapters that break down every core concept with real-world analogies, animated diagrams, hands-on simulators, and quizzes — so you can actually understand what OpenHarn
| Stars | 104 |
| Forks | 18 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 44.15/100 |
| Last Updated | 2026-04-07 |
| Created | 2026-04-07 |
| Platforms | claude-code, node |
| Est. Tokens | ~3184k |
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Learn-Open-Harness is 🤖 Official Interactive Tutorial for OpenHarness – Zero to Hero in 12 Chapters | Learn OpenHarness like Claude Code: Agent Loop, Tools, Memory, Multi-Agent | 面向零基础的 AI Agent 交互式教程. It is categorized as a Agent Tool with 104 GitHub stars.
Learn-Open-Harness is primarily written in TypeScript. It covers topics such as agent-harness, agent-loop, ai-agent.
You can find installation instructions and usage details in the Learn-Open-Harness GitHub repository at github.com/joyehuang/Learn-Open-Harness. The project has 104 stars and 18 forks, indicating an active community.
The top alternatives to Learn-Open-Harness on Agent Skills Hub include agent_learning, omnicoreagent, bitloops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.