HAR
Summary
HAR is an open-source harness for orchestrating multi-agent coding workflows.
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A tool for remotely harnessing and managing AI agents.
Harness Handbook to Map Agent Behavior to Code (28 minute read)
Harness Handbook provides a behavior-level manual for AI agent harnesses, linking system behaviors to verifiable code evidence to make harnesses understandable, auditable, and editable.
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
The Harness Handbook is a behavior-centric representation synthesized from agent harness codebases using static program analysis and LLM assistance, helping developers and coding agents locate code implementing specific behaviors. It introduces Behavior-Guided Progressive Disclosure (BGPD) to guide agents from high-level descriptions to relevant implementation details, improving localization accuracy and edit-plan quality.
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
HarnessX is a foundry for composable, adaptive, and evolvable AI agent harnesses that uses compositional primitives and trace-driven evolution to improve agent performance. Across five benchmarks, it achieves an average gain of +14.5% (up to +44.0%), demonstrating that runtime interface evolution is a complementary lever to model scaling.
HarnessRouter
HarnessRouter provides a single API to access multiple top-tier AI agents, simplifying integration into applications.