Terminal-Bench 2.0 launches alongside Harbor, a new framework for testing agents in containers

Terminal-Bench 2.0 Launches with Harbor Framework

Terminal-Bench, a benchmark suite designed to evaluate the performance of autonomous AI agents on real-world, terminal-based tasks, has released version 2.0. This update comes alongside Harbor, a new framework for testing, improving, and optimizing AI agents within containerized environments.

Improved Testing and Optimization for AI Agents

These simultaneous releases seek to resolve long-standing challenges in testing and refining AI agents, especially those operating autonomously in realistic developer settings. Terminal-Bench 2.0 introduces a more challenging and rigorously verified set of tasks, replacing version 1.0 as the industry standard for evaluating advanced model capabilities.

Features of Harbor Framework

Harbor enables developers and researchers to scale evaluation efforts across thousands of cloud containers. It supports integration with both open-source and proprietary agents and training pipelines, enhancing flexibility and reach.

"Harbor is the package we wish we had had while making Terminal-Bench," wrote co-creator Alex Shaw on X. "It’s for agent, model, and benchmark developers and researchers who want to evaluate and improve agents and models."

Adoption and Impact of Terminal-Bench 1.0

Since its release in May 2025, Terminal-Bench 1.0 was quickly adopted as the default benchmark for assessing agent performance in AI-driven, developer-style terminal environments.

Author's summary: Terminal-Bench 2.0 and Harbor offer enhanced, scalable tools for evaluating and optimizing autonomous AI agents, setting a new standard in containerized AI testing.

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VentureBeat VentureBeat — 2025-11-08

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