venturebeat

2025-11-07

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

The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new framework for testing, improving and optimizing AI agents in containerized environments.

The dual release aims to address long-standing pain points in testing and optimizing AI agents, particularly those built to operate autonomously in realistic developer environments.

With a more difficult and rigorously verified task set, Terminal-Bench 2.0 replaces version 1.0 as the standard for assessing frontier model capabilities.

Harbor, the accompanying runtime framework, enables devel [...]

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venturebeat

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Match Score: 105.01

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Match Score: 100.87

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Match Score: 100.63

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We keep talking about AI agents, but do we ever know what they are?

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Match Score: 94.91

venturebeat

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Upwork study shows AI agents excel with human partners but fail independently

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Match Score: 91.17

venturebeat

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Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]

Match Score: 82.25

venturebeat

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The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]

Match Score: 81.47