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OpenHarness

Developed by HKUDS

OpenHarness, developed by HKUDS, is an open-source, lightweight Python framework providing essential infrastructure for advanced AI Agents. Functioning as a comprehensive 'Agent Harness,' it equips large language models with robust tool-use capabilities (43+ tools), skill management, persistent memory, and sophisticated multi-agent coordination. Key features include parallel streaming agent loops, intelligent context compression, multi-level permission governance, and a flexible plugin ecosystem. OpenHarness empowers researchers and developers to deeply understand, experiment with, and extend production-grade AI Agents. Its capabilities are showcased by ohmo, an intelligent assistant for multi-day tasks like code generation and PR management across platforms such as Feishu and Slack, leveraging existing LLM subscriptions without extra API keys.

  • Robust Tool-Use Capabilities (43+ built-in tools)
  • Streaming Agent Loops with Parallel Execution
  • Intelligent Context Compression & Persistent Memory Management
  • Multi-Level Permission Governance & Interactive Approvals
  • Sophisticated Subagent Spawning & Multi-Agent Coordination
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