🚀 We Open-Sourced XAI's Macrohard: Meet Open Computer Use - Autonomous AI Agents That Actually Control Computers

Prateek YJ — Wed, 15 Oct 2025 13:06:19 +0000

Remember when XAI teased "Macrohard" - their vision of AI agents that could actually control computers? Well, the open-source community just said: "Hold our coffee." ☕

Introducing Open Computer Use 🎯

Today, we're thrilled to share Open Computer Use - a fully open-source platform that gives AI agents real computer control. Not just chat. Not just suggestions. Actual automation.

What Can It Do? 🚀

✅ Browse the web like a human - search, click, fill forms, extract data
✅ Run terminal commands - file management, script execution, package installation

✅ Control desktop apps - full UI automation with computer vision
✅ Multi-agent orchestration - break down complex tasks across specialized agents
✅ Real-time streaming - watch your agents work with live feedback
✅ 100% open-source - Apache 2.0 license, self-hostable, fully auditable

Think Anthropic's Claude Computer Use capabilities, but completely open, extensible, and production-ready.

Why This Matters 💡

For too long, "computer use" capabilities have been locked behind closed APIs and proprietary systems. Open Computer Use changes that:

🔓 Truly Open: Apache 2.0 licensed - fork it, modify it, deploy it anywhere
🔒 Safe by Design: Isolated Docker VMs, sandboxed execution, no data persistence
🎯 Production Ready: Real-time streaming, multi-provider AI support (OpenAI, Anthropic, Google, xAI, Mistral, and more)
🛠️ Developer First: Built with Next.js 15, FastAPI, TypeScript - modern stack you already know

See It In Action 🎬

Our agents can:

Research and summarize - "Find the latest AI research papers and create a summary report"
Automate workflows - "Deploy this app to production and run the test suite"
Data extraction - "Scrape competitor pricing and build a comparison dashboard"
Complex tasks - "Build a quantitative trading dashboard using QuantConnect data"

All executed autonomously. All streaming in real-time. All running in isolated, secure environments.

The Tech Stack 🏗️

Frontend: Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS 4
Backend: FastAPI, Python 3.10+, asyncio, websockets
AI Providers: OpenAI, Anthropic, Google, xAI, Mistral, Perplexity, OpenRouter
Infrastructure: Docker, Ubuntu 22.04 + XFCE, Selenium, Playwright
Database: Supabase (Auth + Postgres)

Architecture Highlights 🎯

User Request → AI Planner → Specialized Agents → Isolated VM
                    ↓
            [Browser | Terminal | Desktop]
                    ↓
          Real-time Streaming Feedback

Each session runs in an isolated Docker container with:

Sandboxed execution environment
Ephemeral containers (no data persistence)
Network isolation options
Resource limits and monitoring

Quick Start 🏃‍♂️

# Clone the repo
git clone https://github.com/LLmHub-dev/open-computer-use.git
cd open-computer-use

# Set up Supabase, add your API keys
cp .env.example .env
# Edit .env with your configuration

# Start with Docker
docker-compose up --build

# Access at http://localhost:3000

Bring your own API keys (BYOK) for any AI provider. All keys are encrypted and stored securely.

Use Cases 💼

✨ Research & Data Gathering - Web scraping, competitive analysis, market research
✨ Testing & QA - Automated UI testing, E2E test generation, regression testing

✨ DevOps & Automation - Server configuration, deployment automation, log analysis
✨ E-commerce Operations - Price monitoring, product research, inventory tracking
✨ Content Creation - Screenshot documentation, tutorial generation, demo creation

Join the Movement 🌟

This is just the beginning. We're building the future of autonomous computer agents - openly, safely, and together.

What we need from you:

⭐ Star the repo - github.com/LLmHub-dev/open-computer-use
💬 Join our Discord - Share ideas, get help, contribute
🔧 Contribute - PRs welcome! Check out our Contributing Guide
📢 Spread the word - Help us show what open-source can do

Roadmap Ahead 🗺️

Q1 2026:

Multi-VM orchestration (parallel agents)
Visual workflow builder
Windows and macOS VM support
Mobile apps (iOS/Android)

Q2 2026:

Plugin system for custom tools
Collaborative agent sessions
Enterprise SSO support
Advanced analytics dashboard

The Big Picture 🌍

"Computer use" capabilities shouldn't be locked behind proprietary APIs. They should be:

✅ Open - Auditable, modifiable, yours to control
✅ Safe - Isolated, sandboxed, transparent
✅ Accessible - Self-hostable, BYOK, no vendor lock-in
✅ Collaborative - Built by the community, for the community

We're not just building an alternative to closed-source solutions. We're building the foundation for a new era of autonomous agents that developers can trust, extend, and deploy anywhere.

Ready to Give Your AI Agents Real Power? 💪

⭐ Star us on GitHub: LLmHub-dev/open-computer-use
💬 Join Discord: discord.gg/llmhub

🐦 Follow on X: @llmhub_dev
📧 Contact: prateek@llmhub.dev

Built with ❤️ by the Open Computer Use community. Apache 2.0 licensed. 97 stars (and counting!)

Let's show the world what open-source can do. Star the repo, join the Discord, and help us shape the future of autonomous computer agents! 🚀

We just open-sourced XAI’s Macrohard, an autonomous computer-using agent

Prateek YJ — Mon, 13 Oct 2025 13:39:08 +0000

Ever imagined an AI that could actually use your computer open apps, type, click, deploy virtual machines, and run workflows safely and autonomously?

We’re open-sourcing Open Computer Use, a fully transparent, open-stack system for autonomous computer control.

🚀 What it does

Open Computer Use lets AI agents go beyond APIs they can:

Deploy and manage virtual machines (Docker or full VMs)
Execute CLI commands or control desktops and browsers
Automate software installs, builds, and tests
Stream logs, screenshots, and progress in real time
Run in sandboxed, permission-based environments for safety

Everything frontend, backend, orchestration, sandbox, and agents is open source.

🧩 Repo: github.com/LLmHub-dev/open-computer-use

💡 Why this matters

Most “AI agents” today stop at the text layer they talk about what they would do.
We wanted something that can actually do it.

Think of it like XAI’s Macrohard, but:

100% open-source
Self-hostable and transparent
Sandbox-safe
Built with a modular architecture anyone can extend

We’re releasing it so devs, researchers, and companies can run, study, and improve autonomous computer agents safely without depending on closed systems.

⚙️ How to try it

git clone https://github.com/LLmHub-dev/open-computer-use.git
cd open-computer-use
docker compose up

Then launch the web interface → create an agent session → watch it deploy a VM, run commands, and stream live feedback.
You can even write your own plugins to extend its capabilities.

🧠 Under the hood

Frontend: Next.js + Tailwind
Backend: FastAPI + Python
Orchestration: Docker + sandboxed VMs
Agent core: modular planners + multi-process action engine
Safety: permission gating, audit logs, container isolation

It’s built for scalability, so you can run many agents concurrently or integrate your own LLM router.

🔒 Safety first

This kind of agent is powerful we’ve made security a first-class feature:

Runs in sandboxed environments
Requires explicit permission for file/system access
Full audit trail of every action
No network or credential sharing unless explicitly allowed

Transparency builds trust that’s why every component is open.

🌍 What’s next

We’re working on:

Multi-VM orchestration
Windows/macOS support
Plugin marketplace
Custom LLM routing support via LLmHUB

If you want to build or contribute, we’d love your help check out the repo and open a PR!

❤️ Join us

This is an open project built for the developer community.
If you find it exciting star the repo, share feedback, or build your own extensions.

👉 https://github.com/LLmHub-dev/open-computer-use

Forem: Prateek YJ