AI agents are prevalent but struggle with real-world computer interactions. Existing autonomous agents often fail by declaring tasks complete prematurely, losing context in multi-step workflows, or lacking desktop environment integration. HeyAgent aims to address these issues by acting as a true assistant rather than a simple Large Language Model wrapper. This open-source agent can control desktop applications, interact with browsers, manage files, run terminal commands, and connect to external services. HeyAgent differentiates itself by planning, executing, validating outcomes, and only then confirming task completion to reduce false positives. The project received significant acceleration and support from AWS, which provided crucial cloud infrastructure and computing resources. HeyAgent is built on a model-agnostic tech stack using TypeScript and Node.js, supporting both cloud and local LLMs. Being open-source allows developers to inspect its reasoning, build tools, and contribute improvements. Future development will focus on enhanced planning, more robust desktop automation, and an expanded plugin ecosystem. The team welcomes feedback, ideas, bug reports, and contributions to the project.