AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

Jul 16, 2026

AgentCompass is an open-source, lightweight, and extensible infrastructure designed for evaluating LLM-based agents. It structures evaluation around three independent components—Benchmark, Harness, and Environment—allowing flexible configurations without reimplementing complex logic. The system includes a fault-tolerant asynchronous runtime and trajectory analysis tools to diagnose nuanced failure modes, such as reward-hacking, and natively supports over 20 benchmarks across five capability dimensions.

Why it matters: AgentCompass aims to address fragmentation and reproducibility challenges in agent evaluation pipelines by providing a unified and scalable infrastructure for agent research.

Full story at: arXiv AI/ML ↗