How macOS Is Shaping the Future of AI Agents
MacAgentBench is a new evaluation framework designed to measure how AI agents perform autonomous tasks on macOS, revealing that high success rates often depend on pre-written “skill libraries” rather than general reasoning. According to the benchmark data, agents using the OpenClaw harness with Claude Opus achieved a 73.7% success rate, but this dropped significantly when … Read more