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HKUDSLightweight harness for advanced AI agent development
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Top 17.5% on SourcePulse
OpenHarness delivers lightweight agent infrastructure, addressing core needs like tool-use, skills, memory, and multi-agent coordination. It targets researchers and developers, offering an inspectable and extensible harness to understand, experiment with, and build functional AI agents efficiently.
How It Works
The project implements the "Agent Harness" pattern, abstracting LLM intelligence into a functional agent. Its core is a Python engine featuring an agent loop for streaming tool-calls, parallel execution, and cost tracking. Key advantages include a modular architecture with 10 subsystems, a focus on pure harness functionality stripped of enterprise overhead, and a significantly smaller codebase (44x lighter than Claude Code).
Quick Start & Requirements
uv sync --extra dev, then uv run oh.ANTHROPIC_API_KEY).Highlighted Details
.md files, compatible with anthropics/skills.claude-code/plugins.Maintenance & Community
OpenHarness is a community-driven research project actively seeking contributions across tools, skills, plugins, providers, multi-agent systems, testing, and documentation. Key contributor resources include CONTRIBUTING.md, CHANGELOG.md, and docs/SHOWCASE.md.
Licensing & Compatibility
Released under the MIT License, permitting commercial use and closed-source linking. It supports Anthropic-compatible API endpoints (including Moonshot/Kimi, Vertex, Bedrock) and is compatible with anthropics/skills and claude-code/plugins.
Limitations & Caveats
This is the initial open-source release (v0.1.0). Voice mode is not yet integrated into provider compatibility. Multi-agent coordination features like ClawTeam integration are listed on the roadmap.
12 hours ago
Inactive
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