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HaaS by OpenComputer Review

HaaS by OpenComputer is an open-source project by xAI that enables autonomous AI agents to control real Linux machine environments.

shipped Sep 11, 2026agentsfree

agents

HaaS by OpenComputer — product screenshot

Why it matters

1Open-sourced by xAI on October 15, 2025.

2Utilizes Next.js 15, React 19, TypeScript, Tailwind CSS 4, FastAPI, and Python 3.10+.

3Supports AI providers including OpenAI, Anthropic, Google, xAI, Mistral, Perplexity, and OpenRouter.

4Each agent session runs in an isolated Docker container on Ubuntu 22.04 + XFCE.

About HaaS by OpenComputer

Pricing Plans

Basic Plan

API Docs GitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is HaaS by OpenComputer?

HaaS by OpenComputer is an open-source project developed by xAI that enables autonomous AI agents to control computers. It allows AI agents to perform complex tasks by interacting with a real Linux machine environment, including driving a browser, running terminal commands, and executing desktop applications. The project was open-sourced on October 15, 2025, and is designed to provide a platform for deploying AI agents as serverless functions.

features

Key Features of HaaS by OpenComputer

HaaS by OpenComputer provides a robust environment for AI agent deployment, emphasizing control over real Linux machines and secure execution. Its architecture supports a wide range of AI models and offers specific functionalities for agent development and operation.

Define agents in TypeScript for structured development.
Deploy agents as serverless functions for scalable execution.
Runs loops for continuous agent operation.
Supports Linux VMs, providing a full operating system environment for agents.
Offers durable sessions, allowing agents to maintain state across interactions.
Each agent session runs in an isolated Docker container for security and stability.
Ephemeral containers ensure no data persistence between sessions.
Network isolation options for enhanced security.
Resource limits and monitoring for efficient operation.
Integration with various AI providers including OpenAI, Anthropic, Google, xAI, Mistral, Perplexity, and OpenRouter.

use cases

Who Should Use HaaS by OpenComputer?

HaaS by OpenComputer is designed for developers, researchers, and organizations requiring autonomous AI agents to interact with and control computer environments. Its capabilities are particularly suited for tasks that benefit from a full Linux machine context.

AI Researchers & Developers: For experimenting with and deploying autonomous agents that require a real Linux environment for complex interactions.
DevOps & Automation Engineers: For automating server configuration, deployment processes, log analysis, and other system-level tasks.
Quality Assurance Teams: For automated UI testing, end-to-end test generation, and regression testing across various applications.
Data Analysts & E-commerce Operators: For web scraping, competitive analysis, market research, price monitoring, and inventory tracking.
Content Creators: For generating screenshot documentation, tutorials, and demos by automating interactions within a desktop environment.

how to use

How to Use HaaS by OpenComputer

To begin using HaaS by OpenComputer, users typically define their AI agents using TypeScript and then deploy them as serverless functions. The platform handles the underlying Linux VM and session management.

1Access the Open Computer Use project via its GitHub repository (https://github.com/diggerhq/opencomputer).
2Set up the development environment, including Docker and necessary dependencies.
3Define an AI agent's logic and behavior using TypeScript.
4Configure API keys for desired AI providers (e.g., OpenAI, xAI) within the platform.
5Deploy the defined agent as a serverless function.
6Monitor agent execution and manage durable sessions through the platform's interface or API.

pricing

HaaS by OpenComputer Pricing & Plans

HaaS by OpenComputer operates on a freemium model. The core Open Computer Use project is open-source and free to use, requiring users to provide their own API keys for integrated AI models. Costs are primarily associated with the underlying infrastructure for running Docker containers and the usage of third-party AI model APIs.

Basic Plan: Contact sales (for managed services or enterprise features, if applicable).

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Pros

+Provides a full Linux machine environment for comprehensive agent control.
+Open-source core allows for transparency and community contributions.
+Supports a wide range of AI providers, offering flexibility in model choice.
+Features isolated Docker containers for secure and sandboxed agent execution.
+Enables durable sessions, allowing agents to maintain state across interactions.
+Agents can be defined in TypeScript, appealing to developers familiar with the language.

Cons

−Requires users to manage their own API keys for AI models, incurring separate costs.
−As an open-source project, setup and maintenance may require technical expertise.
−Specific pricing for managed services or enterprise features is not publicly detailed, requiring direct contact.
−Reliance on Docker and Linux VMs may introduce overhead compared to lighter-weight agent execution environments.
−The project was open-sourced in late 2025, meaning widespread user reviews and long-term stability data are still emerging.

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HaaS by OpenComputer differentiates itself by offering a full Linux machine environment for each agent session, enabling a broader range of interactions compared to alternatives that may focus on specific tasks or conversational agents. It positions itself as a 'Firebase for agents'.

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