OmniMinds is an open-source platform focused on the development of Computer Use Agents (CUAs) ^[1]. It aims to build the foundation for powerful computer-use agents through crowdsourced action datasets, open-source tools, and agent models ^[1].

Overview

OmniMinds is presented as an open-source initiative dedicated to enabling the creation and deployment of AI agents capable of interacting with computer applications in a manner similar to humans ^[1]. The project's core concept revolves around collecting and utilizing large datasets of human computer interactions to train these agents ^[1]. This approach is intended to allow automation of tasks that are not typically accessible via traditional APIs ^{[1] [2]}. The platform provides tools and infrastructure designed to support the training, deployment, and monetization of these computer-use agents ^{[1] [2]}. The project launched in May 2025 ^[3].

The development roadmap for OmniMinds began with Phase 1, initiated shortly after the platform's launch ^[4]. This initial phase is structured into three sprints over five weeks, focusing on rebuilding, rebranding, and redeploying the backend infrastructure to support agent development ^[4]. The project is based on evolving the ViralMind base into a more powerful system ^[5].

Products/Features

The OmniMinds platform includes several components designed to facilitate the training and deployment of computer-use agents:

• Training Gym: This component allows users to provide demonstrations of how to use computer applications ^[1]. Users can earn rewards in the form of $OMNIS tokens for uploading these demonstrations ^{[1] [2]}.
• The Forge: This feature is intended for users who require specialized AI agents ^[1]. Users can specify their AI needs, and the platform aims to facilitate the training of these agents using quality demonstrations collected through the ecosystem ^[1].
• VM-1 Computer Use Agent: Described as a state-of-the-art computer-use agent, VM-1 is planned to be capable of completing computer tasks based on natural language instructions ^{[1] [2]}. It is being trained using data generated by the community ^[1]. This agent is listed as "Coming Soon" ^[1].
• Video-Language-Action Dataset: This is described as an open dataset designed for training frontier action models that operate on the desktop ^[1]. The dataset preview indicates it contains over 5 million samples, including video, task descriptions, actions (often represented as pyautogui commands or scripts), UI tree information, and reward data ^[1]. The training data is intended to be released, although the option for agent requesters or builders to keep it private may exist ^[2].

Ecosystem

OmniMinds is building an ecosystem to support the development and operation of Computer Use Agents ^[1]. This ecosystem includes the infrastructure necessary to train and run the agent models ^[2]. Key components of the planned ecosystem include a decentralized service marketplace and infrastructure for agent-to-agent payments ^[1]. The ecosystem is designed to enable the monetization of automated services provided by the agents ^[2].

Use Cases

The OmniMinds platform is being developed for various user groups and applications related to automating digital tasks ^[1].

Target users include:

• Contributors: Individuals who provide data demonstrations to train agents and earn rewards ^[1].
• Developers: Those who build and work with the open-source tools and agent models ^[1].
• Communities: Groups that can leverage the platform to train agents for specific needs ^[1].
• Companies: Businesses that may require specialized agents to automate internal workflows or services ^[1].

The platform aims to enable the automation of any task currently possible on a computer ^[2]. Examples of tasks demonstrated in the dataset preview include:

• Opening Notepad, loading a file, searching for text, counting instances, and saving the count to a new file ^[1].
• Setting a timer in the Clock app ^[1].
• Modifying settings in applications like VS Code to disable specific error reporting ^[1].
• Configuring browser settings in Edge and Chrome to automatically delete site data upon closing ^[1].
• Converting text separated by commas into a table format ^[1].
• Exporting a document into PDF format ^[1].
• Changing the desktop background to a solid color ^[1].
• Updating a username in Chrome profiles ^[1].
• Adjusting volume settings in applications like VLC Player ^[1].

Architecture

OmniMinds' architecture is centered around the concept of Computer Use Agents (CUAs) that interact with computer interfaces ^[2]. Unlike agents that rely solely on APIs, CUAs are designed to operate applications by simulating human actions, such as mouse movements and clicks, and interpreting visual information from the screen ^{[1] [2]}. The platform utilizes a Video-Language-Action Dataset to train these agents, mapping natural language instructions and visual states to specific computer actions ^[1]. The project mentions a "CPU-as-currency" model as part of its architecture, suggesting that computational resources may play a role in the ecosystem's operation or reward structure ^[1].

Tokenomics

The OmniMinds ecosystem utilizes the $OMNIS token ^[3]. The token contract address is G6iRK8kN67HJFrPA1CDA5KZaPJMiBu3bqdd9vdKBpump ^{[2] [3] [6]}.

The utility of the $OMNIS token includes:

• Powering the underlying technology of the platform ^[3].
• Facilitating the training of AI agents ^[3].
• Providing rewards to contributors who provide data demonstrations ^{[1] [2] [3]}.
• Supporting the agentic economy being built on the platform ^[3].

The tokenomics are described as being built for long-term utility, contribution, and decentralization ^[7]. Governance within the ecosystem is intended to allow token holders to vote on aspects such as the project roadmap ^[1]. While the core team's token allocation (4.5% or 45 million tokens) is mentioned as being locked for 12 months, a full breakdown of token allocation across all categories is not explicitly detailed in the provided source ^[7].

Team

The OmniMinds team is described as fully doxed ^[1]. The team members are stated to have collective experience and include serial entrepreneurs ^[1]. The team is committed to building the platform for the long term, with core team tokens locked for 12 months ^[7].

Advisors

OmniMinds lists advisors who contribute to the project ^[1]. The advisors mentioned are ASTRA AI and Quick Sync ^[1].