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@@ -36,41 +36,6 @@ Supports CLI agent integration including OpenClaw, nanobot, Cursor, and more.
---
## 🚀 44x Lighter Than Claude Code
<table>
<tr><th></th><th>Claude Code</th><th>OpenHarness</th></tr>
<tr><td><strong>Lines of Code</strong></td><td>512,664</td><td><strong>11,733</strong> (44x lighter)</td></tr>
<tr><td><strong>Files</strong></td><td>1,884</td><td><strong>163</strong></td></tr>
<tr><td><strong>Language</strong></td><td>TypeScript</td><td>Python</td></tr>
<tr><td><strong>Tools</strong></td><td>~44</td><td>43 (98%)</td></tr>
<tr><td><strong>Commands</strong></td><td>~88</td><td>54 (61%)</td></tr>
<tr><td><strong>Skills Compatible</strong></td><td>✅</td><td>✅ anthropics/skills</td></tr>
<tr><td><strong>Plugin Compatible</strong></td><td>✅</td><td>✅ claude-code/plugins</td></tr>
<tr><td><strong>Tests</strong></td><td>—</td><td>114 unit + 6 E2E suites</td></tr>
</table>
Leverages Python's power with pure focus on Harness architecture—stripped of enterprise overhead like telemetry, OAuth complexity, and hundreds of React components.
---
## 🤔 What is an Agent Harness?
An **Agent Harness** is the complete infrastructure that wraps around an LLM to make it a functional agent. The model provides intelligence; the harness provides **hands, eyes, memory, and safety boundaries**.
<p align="center">
<img src="assets/harness-equation.png" alt="Harness = Tools + Knowledge + Observation + Action + Permissions" width="700">
</p>
OpenHarness is an open-source Python implementation designed for **researchers, builders, and the community**:
- **Understand** how production AI agents work under the hood
- **Experiment** with cutting-edge tools, skills, and agent coordination patterns
- **Extend** the harness with custom plugins, providers, and domain knowledge
- **Build** specialized agents on top of proven architecture
---
## ✨ OpenHarness's Key Harness Features
<table align="center" width="100%">
@@ -160,6 +125,41 @@ OpenHarness is an open-source Python implementation designed for **researchers,
---
## 🚀 44x Lighter Than Claude Code
<table>
<tr><th></th><th>Claude Code</th><th>OpenHarness</th></tr>
<tr><td><strong>Lines of Code</strong></td><td>512,664</td><td><strong>11,733</strong> (44x lighter)</td></tr>
<tr><td><strong>Files</strong></td><td>1,884</td><td><strong>163</strong></td></tr>
<tr><td><strong>Language</strong></td><td>TypeScript</td><td>Python</td></tr>
<tr><td><strong>Tools</strong></td><td>~44</td><td>43 (98%)</td></tr>
<tr><td><strong>Commands</strong></td><td>~88</td><td>54 (61%)</td></tr>
<tr><td><strong>Skills Compatible</strong></td><td>✅</td><td>✅ anthropics/skills</td></tr>
<tr><td><strong>Plugin Compatible</strong></td><td>✅</td><td>✅ claude-code/plugins</td></tr>
<tr><td><strong>Tests</strong></td><td>—</td><td>114 unit + 6 E2E suites</td></tr>
</table>
Leverages Python's power with pure focus on Harness architecture—stripped of enterprise overhead like telemetry, OAuth complexity, and hundreds of React components.
---
## 🤔 What is an Agent Harness?
An **Agent Harness** is the complete infrastructure that wraps around an LLM to make it a functional agent. The model provides intelligence; the harness provides **hands, eyes, memory, and safety boundaries**.
<p align="center">
<img src="assets/harness-equation.png" alt="Harness = Tools + Knowledge + Observation + Action + Permissions" width="700">
</p>
OpenHarness is an open-source Python implementation designed for **researchers, builders, and the community**:
- **Understand** how production AI agents work under the hood
- **Experiment** with cutting-edge tools, skills, and agent coordination patterns
- **Extend** the harness with custom plugins, providers, and domain knowledge
- **Build** specialized agents on top of proven architecture
---
## 📰 What's New
- **2026-04-01** 🎨 **v0.1.0** — Initial **OpenHarness** open-source release featuring complete Harness architecture: