Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
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4 results for “terminal-bench”
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Measuring and evolving with the frontier of agent work
7 daysStars99224h gain-Score0.0
Official AHE code — Agentic Harness Engineering: observability-driven automatic evolution of coding-agent harnesses (concurrent w/ meta-harness). NexAU-AHE reaches 84.7% ± 2.1 pass@1 on Terminal-Bench 2 (GPT-5.5). Lifts GPT-5.4 69.7→77.0% over 10 iters, beats Codex/ACE/Training-Free GRPO; frozen harness transfers to SWE-bench-Verified.
7 daysStars95424h gain-Score0.0
Taking the pi coding agent to Claude Code-level performance: 0.539 → 0.773 pass@1 on Terminal-Bench 2.1 with the same self-hosted 27B model, by re-engineering the agent.
7 daysStars18724h gain-Score0.0