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simular-ai/agent-s v0.3.2 — a computer-use agent that manipulates the screen

simular-ai/agent-s is a Python-based open-source computer-use agent framework that observes the screen and manipulates real graphical interfaces with a mouse and keyboard; the latest release is v0.3.2.

Repositorysimular-ai/agent-s ↗

simular-ai/agent-s is a Python-based open-source computer-use agent framework that observes the screen and manipulates real graphical interfaces with a mouse and keyboard; the latest release is v0.3.2.

GitHub description: Agent S: an open agentic framework that uses computers like a human

stars
★ 12.7K
Forks
1.5K
Language
Python
License
Apache-2.0
Latest release
v0.3.2
Read original source ↗View on GitHub ↗

simular-ai/agent-s is an open-source agent framework that operates a computer the way a person does, and the latest release is v0.3.2. The core of this repository is looking at the screen and directly manipulating real graphical interfaces with a mouse and keyboard. Its input means are likewise limited to a mouse and keyboard, just like a human's. However, what exactly v0.3.2 changed is not stated in the given material.

A computer-use agent is an approach that looks at what is visible on the screen, picks a target to manipulate, and emits actions through a mouse and keyboard. It is structured to perform tasks a person used to do on the screen instead of them, and the repository description also presents this framework as a tool that uses a computer like a human. The manipulation targets are limited to elements visible on the screen, and this repository operates against the actual screens of real programs. It is written in Python and released under the Apache-2.0 license. The README lists macOS, Windows, and Linux as supported. The repository was created on October 9, 2024, and the star count is 12,666.

Still, the range that can be confirmed from publicly available material is narrow. There are no measurement results showing screen-recognition accuracy, task success rate, response latency, or execution cost. Novelty, technology, and quality scores are not given either, and only the momentum score reaches 3.7 on a 10-point scale. An empty score means there is no evaluation, not that there is no problem. The 12,666 stars are only an indicator of interest and do not substitute for implementation quality or stability. The absence of indicators does not by itself mean the performance is poor, but it clearly means there is no basis for judgment. As long as the README carries the description of supported operating systems and features, this repository can only be evaluated within the publicly disclosed range.