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AutoBot agent tops AssistantBench leaderboard, beats OpenAI and Anthropic on OSWorld 2.0

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GoKawiil Brief

Autonomous Production released AutoBot, an open-source agentic harness that lets a local Mac AI system handle long, multi-step knowledge work with live voice control. The company reports AutoBot scored 18.5% higher task completion than OpenAI's published Sol Max baseline and outperformed Anthropic's Claude Opus 5 Max on the OSWorld 2.0 benchmark, while also ranking first on AssistantBench's official hidden-test leaderboard with 50.70% accuracy across 181 tasks.

Why It Matters

GoKawiil's interpretation of the reporting above, not reported fact.

AutoBot's design—self-repairing harness logic, disk-based hierarchical memory, and persistent task graphs that let another worker resume a job—points to a shift away from relying purely on bigger models toward smarter orchestration layers that run locally. If independently verified, these benchmark results suggest that clever agent scaffolding on consumer hardware can rival or beat frontier labs' own agent stacks on complex, real-world workflows, not just narrow reasoning tasks.

Key Takeaways
Worth a Look

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Source: github.com, 2026-09-17

Published there as: “Show HN: AutoBot – live voice control for long-running AI work”

Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.