I Built an Open-Source AI Agent That Actually Controls Your Computer

AI agents are everywhere in 2026. Most of them can answer questions, generate code, or automate simple workflows. But once you ask them to interact with a real computer—browsers, desktop applications, terminals, files, and external services—things quickly become unreliable. That was the motivation behind HeyAgent . The Problem Most autonomous agents fail for one of three reasons: They declare success before the task is actually finished. They lose context during long, multi-step workflows. They aren't designed to work with a real desktop environment. I wanted to build an agent that behaves more like a real assistant instead of just another LLM wrapper. What HeyAgent Does HeyAgent is an open-source autonomous AI agent for computer control and workflow automation. It can: 🖥️ Control desktop applications 🌐 Work inside browsers 📂 Read and manage files 💻 Execute terminal commands 🔗 Connect with external services 📱 Be controlled through CLI, Desktop UI, or Telegram 🧠 Plan and execute multi-step workflows ✅ Verify results before marking tasks as completed Instead of blindly executing prompts, the agent plans, executes, validates the outcome, and only then reports success. Reducing False Task Completion One of the biggest problems I noticed in existing AI agents is false task completion. Many agents click a button, assume everything worked, and immediately report success. In reality, something may have failed several steps earlier. HeyAgent performs additional verification after critical actions to reduce false positives and improve reliability during long-running workflows. Built with AWS Support HeyAgent has been significantly accelerated thanks to the support of AWS. AWS has provided the project with cloud infrastructure, GPU computing resources, and access to modern AI services that made rapid experimentation possible throughout development. From running GPU workloads to evaluating different LLMs and AI models, AWS has been an important part of the engineering process.