OpenClaw is an open-source personal AI agent platform launched in late 2025. It became one of the fastest-growing open-source projects in GitHub history — over 345,000 stars by early 2026. It solved a real problem: self-hosted AI agents that connect to the apps developers already use, work with every major model provider, and give teams a way to automate workflows without vendor lock-in.
Self-Hosted
OpenClaw runs on your own machine. Your data stays private, it works offline, and you have full control over what it does.
Skills System
Capabilities are added as skills — small Python modules giving the agent new tools. The ClawHub marketplace has 13,000+ community-built skills.
Telegram Interface
You interact with your agent through a private Telegram bot. No need to build a UI — focus on the agent logic.
Multi-Model
Works with Claude, GPT, Gemini, Llama, and other model providers. You choose the model per skill.
Security Note
In March 2026, OpenClaw experienced a significant security incident — nine critical CVEs in four days. A supply chain audit of ClawHub found malicious skills in the marketplace. If you use OpenClaw for a student project, use only skills from trusted sources and review source code before installing.
Hermes — The Evolution of OpenClaw
In February 2026, Nous Research shipped Hermes Agent — a new open-source agent framework built on a fundamentally different architectural principle. Where OpenClaw is stateless between sessions, Hermes is designed to get better at your specific workflows over time through a closed learning loop that runs after every task.
Watch: Hermes Agent — the evolution of OpenClaw explained (recommended by bioERGOtech)
Self-Improving Memory
After every task, Hermes runs a reflection loop that extracts what worked and what failed. The next time it encounters a similar task, it applies those learnings. OpenClaw does not do this.
40+ Built-in Tools
Ships with over 40 pre-installed tools — web search, code execution, file management, calendar, email. OpenClaw requires manual skill installation for most of these.
VSCode Integration
Deep integration with VSCode for coding workflows. Hermes can read, write, and debug code in your active project.
Privacy Preserved
Like OpenClaw, Hermes runs locally. Your data never leaves your machine.
Key Insight
OpenClaw gave people a self-hosted agent that connects to everything. Hermes took that foundation and added a brain that improves over time. For Track B students, Hermes is the recommended choice for your project — but understanding OpenClaw first gives you the conceptual foundation that makes Hermes make sense.
Before This Session — Pre-Session Requirements
01
VSCode for Beginners (~15 min) Search YouTube: 'VSCode beginners tutorial 2025'. Essential if new to VSCode.
02
Hermes Agent Full Setup Tutorial Search YouTube: 'Hermes Agent full tutorial 2026'. Watch before the session — covers installation, memory configuration, and first task.
Connect to a private Telegram bot or use the VSCode interface
3
Configure memory settings for your project domain
4
Run your first domain-specific task and review what Hermes logged to memory
5
Screenshot the memory log and paste in your project log as setup proof
✏️ Student Reflection
After your first session with Hermes: What task did you run? What did Hermes log to memory? How is that different from what would have happened with a stateless agent like OpenClaw? Write 3–4 sentences in your project log.
📝 Your Lesson Submission
Share your reflection, ask a question, or leave a comment. Your mentor will respond.
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Next →4.3 — Technical Track Deep Dive: Agno + Python + VSCode🔒 Submit reflection to unlock
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