# Hermes Commander: An Autonomous Research Assistant Powered by Hermes Agent 🧠 > Source: > Published: 2026-05-30 23:47:52+00:00 *This is a submission for the [Hermes Agent Challenge] Hermes Commander is my first AI agent project built using Hermes Agent. The goal of this project was to explore how an AI agent can go beyond simple question-answering and perform structured tasks using tools. Hermes Commander acts as an autonomous research assistant that can understand requests, create research plans, access available tools, and organize workflows. As someone interested in AI, prompt engineering, and research, I wanted to build an agent that could help investigate technical topics in a more structured and agentic way. Current capabilities include: Agent identity and interaction Agentic task planning Tool discovery and management Research workflow generation Browser-assisted information gathering Structured task execution This project represents my first step into building autonomous AI systems and serves as the foundation for future research-focused agents [https://www.youtube.com/watch?v=YatyrfyPq_U](https://www.youtube.com/watch?v=YatyrfyPq_U) Screenshots Agent Introduction Shows Hermes Commander identifying itself as an AI agent. Agentic Capabilities Demonstrates how the agent understands and explains its autonomous workflow. Tool Access Displays the tools available to the agent for planning and task execution. Research Planning Shows the agent creating a structured research plan for investigating AI agent frameworks. Browser Navigation Demonstrates browser-assisted navigation and information analysis. GitHub Repository: [https://github.com/AI-Explorer786/Hermes-Commander](https://github.com/AI-Explorer786/Hermes-Commander) Hermes Agent Google Gemini Ubuntu (WSL) Browser Automation Tools GitHub Markdown Documentation Hermes Agent serves as the core engine behind Hermes Commander. I used Hermes Agent to: Create structured research plans Manage task workflows Access and utilize available tools Interact with browser capabilities Execute agent-driven reasoning processes One of the most interesting aspects of Hermes Agent is its ability to act as more than a chatbot. Instead of only generating responses, it can plan actions, select tools, and perform multi-step workflows. For this project, I focused on agentic capabilities such as: Autonomous planning Tool awareness Workflow generation Browser-assisted exploration Research task organization This allowed me to transform a standard AI interaction into a more agent-oriented experience where the system can reason about tasks and determine how to approach them. Future Improvements Future versions of Hermes Commander will include: Local model support through Ollama Advanced autonomous research workflows Multi-step web research and summarization Report generation Knowledge memory and retrieval Enhanced research automation Building Hermes Commander was an exciting learning experience and my first practical step toward creating more capable AI research agents.