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Harbor Adapters, an open-source unified infrastructure, now enables evaluating any AI agent across 80+ benchmarks, with Harbor-Index capping pass rates at 30% for rigorous model comparison.

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Harbor Adapters: Unified Infrastructure for Evaluating 80+ Agentic Benchmarks with Harbor-Index

Overview

Researchers have released Harbor Adapters, a unified evaluation infrastructure for AI agents, along with Harbor-Index, a curated set of difficult tasks. This release marks a significant step toward standardizing agent evaluation, which previously required complex, benchmark-specific environments.

FAQ

What are Harbor Adapters?

They are an open-source, unified infrastructure that lets you evaluate AI agents across over 80 different benchmarks, eliminating the need for custom environments per benchmark.

How is Harbor-Index different from other benchmarks?

Harbor-Index is a curated set of 82 hard tasks from 29 benchmarks, audited for quality, ensuring no model exceeds a 30% pass rate for better capability differentiation.

Can MENA teams use these tools now?

Yes, the tools are fully open-source. Technical teams can download and integrate them directly to evaluate their models or agents, reducing costs and increasing reliability.

Source: arXiv cs.AI

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