{"slug": "title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey", "title": "title: From Zero to Hermes Agent in 3 Days — An Honest Beginner's Journey", "summary": "A developer built a GitHub repository auditing tool called repo-audit-agent using Hermes Agent, starting from a Windows PC with virtualization disabled and no Linux environment. The project, completed within three days using an AWS EC2 t2.micro free tier instance, demonstrates how Hermes Agent can perform genuine agentic tasks like browsing repositories and generating structured technical audit reports. The developer found that Hermes Agent's tool-using capabilities, including web browsing and file analysis, enabled automated first-pass technical reviews of GitHub repositories.", "body_md": "*This is a submission for the Hermes Agent Challenge: Write About Hermes Agent*\n\nMost tutorials start with a clean Linux machine, a working API key, and someone who already knows what they're doing.\n\nThis is not that tutorial.\n\nThis is the story of building a real project with Hermes Agent starting from a Windows PC with virtualisation disabled in the BIOS, zero Linux environment, and a deadline three days away.\n\nI built [repo-audit-agent](https://github.com/MaurizioLisanti/repo-audit-agent) — a tool that uses Hermes Agent to perform first-pass technical reviews of GitHub repositories. Here's what I actually learned along the way.\n\nBefore I could even think about Hermes Agent, I needed a Linux environment.\n\nMy Windows machine had WSL2 partially configured but virtualisation was disabled at the BIOS level — a common corporate lockdown. So WSL2 was out.\n\nI tried:\n\n**What finally worked: AWS EC2 t2.micro free tier.**\n\nA real Ubuntu server in the cloud, persistent across sessions, 6.6GB of disk, always available. Once I understood this was the right environment, everything else followed.\n\n**Lesson learned:** Don't fight your local environment. Cloud VMs exist precisely for this.\n\nOnce I had an EC2 instance running Ubuntu Server, installation was one command:\n\n```\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\n```\n\nThe installer is genuinely impressive. It:\n\n`uv`\n\n`hermes`\n\ncommand to your PATHThe full output is about 300 lines. When you see `✓ Installation Complete!`\n\nyou know it worked.\n\nThis is where I spent most of Day 2.\n\nHermes Agent supports many providers: Anthropic, OpenRouter, Google AI Studio, Groq, DeepSeek, and many more. The setup wizard is interactive and well-designed.\n\nI tried several providers:\n\n**What I learned about Gemini free tier:** It works, but you need to wait between calls. For interactive development this is manageable. For batch processing, you'd want a paid tier or a different provider.\n\nThe setup wizard command is simply:\n\n```\nhermes setup\n```\n\nIt walks you through provider selection, API key configuration, and model selection. For Gemini, I selected `gemini-2.5-flash`\n\n— fast, capable, and free.\n\nAfter configuration, this command produced a real response:\n\n```\nhermes chat -q \"Say hello in one sentence.\" -Q\n```\n\nOutput:\n\n```\nHello! I am Hermes, a CLI AI Agent.\n```\n\nThat single line, after two days of environment struggles, felt like a genuine milestone.\n\nWith Hermes Agent working, I built `repo-audit-agent`\n\n— a Python script that wraps Hermes Agent and produces structured technical audit reports.\n\nThe core insight is simple: **Hermes Agent is not just a chatbot. It uses tools.**\n\nWhen you give Hermes Agent a task that requires browsing the web, it actually opens a browser, navigates to the URL, and reads the content. This is what makes it an *agent* rather than a language model wrapper.\n\nHere's how I invoke Hermes Agent from Python:\n\n``` php\ndef run_hermes_audit(repo_url: str, max_turns: int = 15) -> str:\n    prompt = build_audit_prompt(repo_url, owner, repo_name)\n\n    result = subprocess.run(\n        [\n            \"hermes\", \"chat\",\n            \"--query\", prompt,\n            \"--quiet\",\n            \"--max-turns\", str(max_turns),\n        ],\n        capture_output=True,\n        text=True,\n        timeout=300,\n    )\n\n    return result.stdout\n```\n\nThe `--max-turns`\n\nparameter is important: it controls how many tool-calling iterations Hermes Agent can perform. For a repository audit, 15 turns gives it enough room to browse the repo, read the README, analyze the file structure, and generate the report.\n\nWhen I run `python3 audit.py https://github.com/NousResearch/hermes-agent`\n\n, Hermes Agent:\n\nThis is genuine agentic behavior. I'm not sending the repository content to a language model — Hermes Agent fetches it itself.\n\nHere's a real excerpt from a report generated on the Hermes Agent repository:\n\n```\n## Code Quality Score: 7/10\n\nStrong documentation coverage (23.7% comment ratio) and a well-developed \nfeature set. Areas for improvement include unknown/duplicate file categories \nand cross-language integration complexity.\n\n## Risk Register (Top 5)\n\n| # | Risk | Severity |\n|---|------|----------|\n| 1 | Dependency sprawl across 5+ languages | Medium |\n| 2 | Documentation drift risk | Medium |\n| 3 | Performance bottlenecks in Python core | Medium |\n| 4 | Cross-language integration complexity | Medium |\n| 5 | Security vulnerabilities in external tools | High |\n```\n\nThis is a first-pass review, not a replacement for manual code review. But as a starting point for human analysis, it is genuinely useful.\n\nAfter three days of building with it, here are my honest observations:\n\n**The installation is excellent.** One command, handles everything, works on stock Ubuntu. This is the standard all CLI tools should meet.\n\n**The provider ecosystem is broad.** If one provider has rate limits or cost issues, you switch to another without changing your code. The `hermes setup`\n\ncommand handles it cleanly.\n\n**Tool use is real.** Hermes Agent actually browses, actually reads files, actually executes code. This is not simulated. When you ask it to analyze a repository, it goes and looks at it.\n\n**The --quiet flag is a gift.** For programmatic use,\n\n`-Q`\n\nsuppresses all banners and spinners and gives you clean output to parse. This made integration into Python trivial.**90 bundled skills.** From GitHub workflows to Jupyter kernels to architecture diagrams — Hermes Agent ships with a large library of task-specific prompts and behaviors. I've only scratched the surface.\n\n**Rate limits on free tiers are real.** Gemini free tier allows 5 requests/minute. If you're building something that calls Hermes Agent repeatedly, budget for this or use a paid provider.\n\n**The browser tool needs resources.** Hermes Agent installs Playwright and Chrome for its browser capability. This is about 300MB on disk. Not a problem on EC2, but worth knowing if disk space is tight.\n\n**The terminal inside Colab/browser environments has character encoding issues.** I encountered escape sequences (`^[]11;rgb:0000/0000/0000`\n\n) corrupting commands when copy-pasting into browser-based terminals. Run Hermes Agent on a real SSH session or local terminal when possible.\n\nHermes Agent is interesting not because of what it does today, but because of what it represents.\n\nA lot of AI tooling today seems to fall into one of two categories: proprietary cloud services where you send your data and trust a vendor, or lightweight local wrappers that are really just API clients with a nicer interface.\n\nHermes Agent is neither. It is an open-source agent runtime that you deploy on your own infrastructure, configure with your choice of LLM provider, and extend with skills you write yourself. The agent logic — planning, tool use, multi-step reasoning — runs on your machine.\n\nOf course, the configured LLM provider still receives the prompts and relevant context, so provider choice and data handling policies still matter.\n\nFor developers building on sensitive data (mine includes Italian public-sector procurement documents), this distinction matters.\n\nIf you want to try Hermes Agent yourself:\n\n```\n# Install\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\n\n# Configure (interactive wizard)\nhermes setup\n\n# First test\nhermes chat -q \"What files are in my current directory?\" -Q\n```\n\nFor a cloud environment without local Linux, AWS EC2 t2.micro free tier is the fastest path to a working setup.\n\nThe [Hermes Agent documentation](https://hermes-agent.nousresearch.com/docs) is thorough and the GitHub repository is active.\n\nIf you want to see Hermes Agent doing real work on a real codebase, try [repo-audit-agent](https://github.com/MaurizioLisanti/repo-audit-agent):\n\n```\ngit clone https://github.com/MaurizioLisanti/repo-audit-agent\ncd repo-audit-agent\npython3 audit.py https://github.com/NousResearch/hermes-agent\n```\n\nIt uses Hermes Agent to perform first-pass technical reviews of any public GitHub repository and saves the report as a Markdown file.\n\n*Built during the Hermes Agent Challenge 2026. The environment struggles were real. The deadline was real. The tool works.*", "url": "https://wpnews.pro/news/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey", "canonical_source": "https://dev.to/mauriziolisanti/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginners-journey-13l2", "published_at": "2026-05-29 22:40:59+00:00", "updated_at": "2026-05-29 23:12:48.371895+00:00", "lang": "en", "topics": ["ai-agents", "ai-tools", "ai-products", "large-language-models", "generative-ai"], "entities": ["Hermes Agent", "NousResearch", "AWS EC2", "Ubuntu", "GitHub", "Maurizio Lisanti", "WSL2", "repo-audit-agent"], "alternates": {"html": "https://wpnews.pro/news/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey", "markdown": "https://wpnews.pro/news/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey.md", "text": "https://wpnews.pro/news/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey.txt", "jsonld": "https://wpnews.pro/news/title-from-zero-to-hermes-agent-in-3-days-an-honest-beginner-s-journey.jsonld"}}