computer-use-agent

Hark Handoff reportedly outperforms GPT-5.5 and Opus 4.8 on several benchmarks at 90% lower cost, using SFT and asynchronous RL with GRPO on an undisclosed base model. The author expresses skepticism about latency in computer-use agents but is bullish on the demo.

AI startup Hark launches Handoff, a computer use agent that autonomously navigates the web, claiming top benchmark scores and significantly lower token prices than frontier models.

Figure AI's CEO has launched a computer-using agent called Hark Handoff, which can automatically handle everyday tasks such as ordering food through a browser. The goal is to let users hand off tasks they don't want to deal with. The article showcases a demo scenario and notes this is the product's first research preview.

Qwen released Qwen-CUA, a native computer-use agent with a 397B-A17B mixture-of-experts backbone, achieving state-of-the-art results on OSWorld-Verified and ranking #2 on WebArena. A technical report is available on Papers with Code.

Microsoft released Fara1.5-27B, a 27B parameter multimodal computer use agent for web browsers, fine-tuned from Qwen3.5-27B, capable of end-to-end web tasks via screenshots.

EvoCUA-1.5 introduces an online reinforcement learning framework for multi-turn computer-use agents, achieving a 63.2% success rate on OSWorld-Verified and outperforming comparable open-weight models up to 35B parameters through step-level policy optimization and dynamic curriculum learning.

Coasty is a computer-use agent designed to automate interactions with legacy software, mimicking human operation.

Fara1.5 is a family of native computer use agents trained using the FaraGen1.5 scalable data pipeline. The models achieve new state-of-the-art results on browser-use benchmarks, competing with much larger frontier models.

Microsoft launches Fara-7B, an efficient Computer Use Agent with only 7B parameters, surpassing larger models on web tasks, supporting pure local deployment, and achieving low-cost desktop automation.

H Company releases Holo3.1, a family of Vision-Language Models (0.8B to 35B) for computer use agents, supporting web, desktop, and mobile automation with native function calling and optimized quantized checkpoints for local deployment.

Microsoft released Fara-7B, a 7-billion parameter small language model that can autonomously control a computer to perform tasks like clicking, scrolling, and filling forms, running on-device and beating larger models like OpenAI's computer-use agent on benchmarks.

Asteroid is a computer use agent builder that works across Browser, Linux, and Windows, enabling users to create automated agents.

H Company releases Holotron-12B, a multimodal computer-use agent optimized for high-throughput inference using a hybrid SSM architecture. The model, post-trained on NVIDIA Nemotron, demonstrates superior efficiency and scalability for interactive agentic workloads.

Microsoft released Fara-7B, an efficient 7 billion parameter agentic small language model (SLM) for computer use tasks, achieving state-of-the-art performance within its size class and competitive with larger systems.

OpenAI released the Operator System Card detailing safety evaluations for its Computer-Using Agent (CUA) model, which combines GPT-4o's vision capabilities with reinforcement learning to interact with GUIs and perform web-based tasks on users' behalf. The card outlines risk areas including prompt injections, harmful tasks, and model mistakes, along with multi-layered mitigations based on OpenAI's Preparedness Framework.