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reacher-z/ClawBench

Description and use

Reacher‑z’s **ClawBench** is an open‑source benchmark that evaluates browser‑based AI agents across 153 everyday online tasks drawn from 144 live websites. It combines a five‑layer interaction recording system, DOM‑structure matching, and an LLM‑based judge to score agents, with the current best performance reaching 33.3 %. The project targets AI/ML researchers and data practitioners interested in web‑automation and agent evaluation.

Use in a workflow

reacher-z/ClawBench helps remove repetitive manual operations from a workflow.

  • remove manual work
  • connect tools into repeatable flows
  • schedule operational tasks

Limitations and review notes

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

  • Source: github
  • Language: Python
  • Record date: 2026-09-05T17:31:58.069Z
Original source