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