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What is Open Computer Agent?

The Open Computer Agent, a web-based AI assistant developed by Hugging Face, is engineered to streamline tasks such as web navigation, form completion, and information retrieval. It employs cutting-edge vision-language models like Qwen-VL to simulate mouse and keyboard inputs, enabling it to handle a wide array of activities, including ticket bookings, checking business hours, and finding directions. By analyzing image coordinates, this agent can skillfully identify and interact with different elements on web pages. As a component of Hugging Face's smolagents initiative, it emphasizes flexibility and transparency, offering an open-source platform for developers to modify and enhance for tailored applications. Despite being in the early stages of development and facing certain challenges, this agent represents a groundbreaking advancement in AI as a proactive digital assistant capable of autonomously performing online tasks without constant user oversight. Moreover, as it continues to evolve, there is potential for it to revolutionize how we automate intricate web interactions, paving the way for a future where AI seamlessly integrates into our daily online activities.

What is Holo2?

The Holo2 model series from H Company strikes an excellent balance between cost-effectiveness and high performance in vision-language models tailored for computer-based agents capable of navigating, localizing interface elements, and operating across web, desktop, and mobile environments. This latest lineup, which features configurations of 4 billion, 8 billion, and 30 billion parameters, builds on the groundwork established by the previous Holo1 and Holo1.5 models, ensuring a solid foundation in user interface interaction while significantly enhancing navigation capabilities. By employing a mixture-of-experts (MoE) architecture, the Holo2 models selectively activate only the parameters essential for specific tasks, thereby optimizing operational efficiency. Trained on meticulously selected datasets centered on localization and agent functionality, these models are set to seamlessly succeed their predecessors. They also support smooth inference in environments that are compatible with Qwen3-VL models and can be effortlessly integrated into agentic workflows, such as Surfer 2. In performance tests, the Holo2-30B-A3B model achieved remarkable benchmarks, scoring 66.1% on the ScreenSpot-Pro evaluation and 76.1% on the OSWorld-G benchmark, firmly positioning itself as a frontrunner in the UI localization field. The technological advancements embedded in the Holo2 models not only enhance their capabilities but also make them an attractive option for developers aiming to boost the performance and efficiency of their applications. As the demand for sophisticated user interface solutions continues to grow, the Holo2 models stand ready to meet the diverse needs of the market.

Media

Media

Integrations Supported

Hugging Face
Qwen2-VL
Smolagents

Integrations Supported

Qwen3
Surfer H

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Hugging Face

Date Founded

2016

Company Location

United States

Company Website

huggingface.co/spaces/smolagents/computer-agent

Company Facts

Organization Name

H Company

Date Founded

2023

Company Location

France

Company Website

www.hcompany.ai/blog/holo2

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

Categories and Features

AI Models

Not specified

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