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Computer-use agents: the open-source Agent S framework, the Sai agent and the Simular API.

Simular, founded by former DeepMind scientists, builds computer-use agents that operate desktop and web apps by looking at the screen and clicking, typing and scrolling. Its open-source Agent S framework runs on macOS, Windows and Linux; the project reports Agent S3 as the first to surpass human performance on OSWorld (72.60%) and released Agent S4 in October 2026. Commercially it offers Sai, a production computer-use agent, and the Simular API for giving agents autonomous cloud computers. In December 2025 it announced a $21.5M Series A led by Felicis, with NVentures and South Park Commons participating.

Pros & cons

Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.

Pros

  • MetadataIts Agent S framework is open source (Apache-2.0, about 12.8K stars) and runs on macOS, Windows and Linux.[1]
  • DocsAgent S reported about 72.6% on OSWorld, around the human baseline, and the Agent S2 work is published on arXiv.[1][2]
  • Independent testSai operates full desktops, browsers and terminals, not just web pages.[1]

Cons

  • Independent testSai's 73% OSWorld 2.0 result was first published on Simular's own site and was not yet on the official leaderboard.[1]
  • DocsSimular says pure neural agents are expensive, non-deterministic and slow, and that variance between runs is the core bottleneck to usefulness.[1]
  • User reportsSai signups were limited to control costs, and the regular price was quoted at $200/month.[1]
  • Independent testThird-party reviews are mixed, with one scoring Sai 5.5/10 for notable limitations.[1]
Best for
Researchers and teams automating desktop GUI workflows who want an open-source computer-use framework with a commercial option.
Watch out for
Reliability gap between benchmark scores and repeated real tasks, plus the cost of the hosted agent.

Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction

People

Co-founder & CEO

Harness engineering

In research (1)

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Sources

  1. Agent S GitHub README
  2. Simular website
  3. Simular raises $21.5M (Simular)