01What Hermes AI v0.5 Is and How It Works
Hermes AI v0.5 is an AI agent framework that replaces OpenClaw. It creates skills from your experiences and improves them over time. This means every time you complete a task, Hermes saves what worked and uses it again later.
Unlike OpenClaw, which requires you to manually update a memory MD file, Hermes works automatically. It notices when a method works well and saves it as a skill. Over weeks, these skills get sharper without you doing anything extra.
Hermes also searches its own past conversations. So if you ask about a client from last month, it finds the context instantly. You never re-explain or manually manage a file.
The result is an agent that compounds its knowledge. Week one it handles tasks okay. By week four it handles the same tasks significantly better.
This is the main reason people are switching from OpenClaw to Hermes right now.
02Main Features of Hermes v0.5
Hermes v0.5 includes several new features that make it more powerful than OpenClaw:
- News Portal: A model hub with over 400 models in one place. You pick cheaper models for simple tasks and stronger models for thinking work. This gives you full control over cost.
- Hugging Face integration: Hundreds of open-source models you can run locally. No ongoing API costs and no data leaving your machine.
- Auto-completing tasks: v0.5 fixes the old bug where the agent described what it would do but never did it. Tasks now actually complete.
- Telegram private chat topics: Create separate areas inside one Telegram chat. One for client messages, one for project updates, one for your own tasks. Each has its own memory and skills.
- Self-improving skills: Skills write and improve themselves by watching you work. You don't define them manually.
- 50+ security and reliability fixes: The v0.5 update fixes crashes and improves tool calls.
03How to Get Started with Hermes v0.5
Setting up Hermes is straightforward. Here are the steps:
- Download Hermes v0.5 from the official GitHub repository. It's available for local installation.
- Run the setup using the terminal or command line. The process detects your hardware and guides you through initial configuration.
- Choose your models. Use News Portal to select from over 400 models. You can start with a small model like a 7B for simple tasks and upgrade to 70B for complex work.
- Connect your tools. If you use Telegram, set up private chat topics for organizing workflows. You can also connect Hugging Face for local open-source models.
- If switching from OpenClaw, type Hermes Claw Migrate in the terminal. This pulls over all your settings, memories, skills, and API keys across 19 categories. A preview option shows what will move before you confirm.
- Test a few tasks. Run a client follow-up or research a lead. Hermes will save its approach and improve next time.
04How to Use Hermes v0.5: Walkthrough and Examples
Using Hermes is about letting it learn from your work. Start with a simple task like drafting a proposal. Hermes completes it and saves the approach as a skill.
Next time you ask for something similar, it pulls that skill out and does it faster.
Over days and weeks, Hermes refines those skills automatically. For example, if you do client onboarding weekly, by week four Hermes handles it much better than week one. It notices what worked and adjusts its method without you touching anything.
You can also ask Hermes about past conversations. Say you discussed a client's budget last month. Just ask, and Hermes searches its conversation history to find the details.
This eliminates the need to re-explain context. For businesses running repeat tasks like lead follow-up or content creation, this compounding knowledge saves hours each week.
On X, users confirm this works. One person said: 'As a coordinator, it's so much better than what they built in OpenClaw.' Another noted that skill files are the only reason they stayed on OpenClaw, but with Hermes those skills write themselves.
05Results and Comparisons: Hermes vs OpenClaw
People are switching because of real results. One developer spent weeks benchmarking both agents. His take: OpenClaw's 125,000-line TypeScript codebase and a sandbox that blocks important tools make it struggle where Hermes thrives.
Crash rates are lower with Hermes. OpenClaw crashes on model switches and has unreliable tool calls. Hermes v0.5 fixes these with over 50 security and reliability fixes.
Privacy is a major difference. Security researchers found that 36% of OpenClaw's community skills contain hidden code designed to manipulate the agent. Over 135,000 OpenClaw setups sit open on the internet without protection.
In March 2026, the Chinese government stopped state organizations from using OpenClaw on work computers due to security concerns. Hermes keeps everything on your machine. No usage data or conversation history leaves unless you set up an outside service.
Ecosystem size: OpenClaw still has 300,000 GitHub stars and 5,000 community skills. But Hermes grew fast: launched February 25, 2026, got 10,000 GitHub stars by March 22, and now has over 15,000. In the last nine hours alone, over 1,400 posts on X talk about people switching from OpenClaw to Hermes.
06Tips, Limits and Mistakes to Avoid with Hermes v0.5
Do not skip the preview when migrating. The Hermes Claw Migrate tool includes a preview option so you can see exactly what moves from OpenClaw before it happens. Review it carefully to avoid losing settings.
Start with small models. You don't need an expensive GPU. People run Hermes on half-decade-old GPUs sitting in drawers.
A 7B model works fine for simple tasks. Use the News Portal to pick cheaper models for routine work and stronger models only for thinking-heavy tasks. This controls cost.
One common mistake: expecting Hermes to work perfectly on day one. It takes a few tasks for the skill system to improve. Give it a week to start compounding knowledge.
Do not ignore the security fixes. OpenClaw's community skills pose real risks. Hermes keeps data local, but if you connect an outside service, make sure it's secure.
Hermes v0.5 includes over 50 security fixes, so keep your version updated.
Use Telegram topics correctly. Separate client messages, project updates, and tasks into different topics. Each keeps its own memory and skills.
This prevents confusion and keeps workflows clean.
07Who Hermes v0.5 Is For and Why It Matters
Hermes v0.5 is for business owners and operators who run the same types of tasks repeatedly. Examples include client onboarding, lead follow-up, content creation, and proposal drafting. If you handle these tasks weekly, Hermes compounds its knowledge automatically, saving you time and improving quality.
It also matters for anyone concerned about data privacy. OpenClaw's ecosystem has security vulnerabilities that led to government bans in China. Hermes runs everything locally unless you choose otherwise.
Your client conversations and data stay on your machine.
The rapid adoption shows this framework is winning. Five full releases in one month, 15,000 GitHub stars, and over 1,400 posts about switching in nine hours. The window to build workflows and automation with Hermes is open now.
Most people haven't set up either agent yet, so getting ahead with Hermes gives you a real edge.