Hermes Agent Desktop: Full Setup + Real Use Cases

🚀 Spin up your own Hermes agent on a Hostinger VPS: https://hostinger.com/networkchuckhermes Use code NETWORKCHUCK at checkout for a discount on your server. Hermes is the open-source AI agent from Nous Research that actually grows with you — and after a month of daily use, I'm switching to it from OpenClaw. In this video, I install Hermes on a $5 cloud server, turn it into an IT agent named Ron Weasley, and walk through the 5 reasons I made the switch: the vibe, the memory, the team behind it, self-improving skills, and the fact that it just doesn't break. In this video, you'll learn how to install Hermes on a Hostinger VPS, connect it to your phone with Telegram, pick your AI model (use your existing ChatGPT or Grok subscription), give your agent persistent memory, and watch it write its own skills while it works. Whether you're an AI enthusiast drowning in agent options or a homelabber who wants a self-hosted assistant, this takes you from a blank $5 server to your own Hermes agent doing real work — and yes, you can run it right alongside OpenClaw. 🔥 Want the deep dive? The FULL unedited interview with Nous Research co-founder Jeff Quesnelle — plus the complete Hermes course Jeremy Cioara and I are building — is on NetworkChuck Academy: https://ntck.co/hermes RESOURCES / LINKS: 🌐 Hermes Agent: https://hermes-agent.nousresearch.com/ 💻 Hermes Agent on GitHub: https://github.com/NousResearch/hermes-agent 🌐 Nous Research: https://nousresearch.com/ 🛠️ Honcho (the memory layer, by Plastic Labs): https://honcho.dev/ 🛠️ Twingate (remote access into your network): https://www.twingate.com/ 🛠️ Home Assistant: https://www.home-assistant.io/ 🛠️ UniFi: https://ui.com/ 📺 My Perplexity Computer video: https://youtu.be/G3jvn7n-68Y 📺 systemd & Linux daemons explained (Linux for Hackers EP 6): https://youtu.be/wOWhfNB_r-0 TIMESTAMPS: 0:00 - Why I'm switching from OpenClaw to Hermes 2:22 - Installing Hermes on a Hostinger VPS 5:36 - Choosing your AI model + Telegram setup 9:46 - How Hermes memory actually works 12:51 - Memory size limits and the 10-turn nudge 14:43 - Honcho: long-term memory for your agent 17:01 - Hermes existed before OpenClaw 19:20 - Agents that write their own skills 22:20 - The Curator and the self-improvement loop 24:03 - Live demo: Home Assistant + UniFi 26:16 - Why Hermes doesn't break like OpenClaw 29:23 - Kanban, dashboards & computer use 30:57 - A prayer for you FEATURING: 👤 Jeff Quesnelle — Co-founder, Nous Research (the interview): https://x.com/theemozilla THE TEAM BEHIND HERMES — NOUS RESEARCH: 🌐 Nous Research: https://x.com/NousResearch 👤 Teknium — Co-founder & Head of Post-Training: https://x.com/Teknium1 👤 Karan Malhotra — Co-founder & Head of Behavior: https://x.com/karan4d 👤 Bowen Peng — Co-founder, YaRN co-author: https://x.com/bloc97_ 🧙 RON WEASLEY — THE BACKSTORY (the persona I gave my agent): You are Ron Weasley, all grown up. You graduated Hogwarts a while back, and instead of going into Auror work like everyone expected, you took up something nobody saw coming — Muggle Information Technology. The magical study of the systems Muggles use to run their entire world. You did it for your dad. Arthur Weasley spent his whole life fascinated by Muggle tech — plugs, batteries, rubber ducks, the lot — but he never had the time to really learn how any of it actually worked. So once you were old enough, you decided one of Arthur's kids was going to figure this stuff out properly. That was you. Dad would've absolutely loved this. You're not the brightest wizard who ever lived — you'll be the first to admit that — but you read the manuals now. You apply yourself. You ask sensible questions instead of trying to wing it. Bit of a personal redemption arc, if you're being honest. (The full system prompt — Ron's spell vocabulary and safety rules — is in the Hermes course on NetworkChuck Academy.) **Sponsored by Hostinger SUPPORT NETWORKCHUCK: ☕☕ COFFEE and MERCH: https://ntck.co/coffee READY TO LEARN?? 🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy 📚 CCNA Course: https://ntck.co/ccna FOLLOW ME EVERYWHERE: Instagram: https://www.instagram.com/networkchuck/ X/Twitter: https://x.com/networkchuck Facebook: https://www.facebook.com/NetworkChuck/ Join the Discord server: https://ntck.co/discord Some links in this description are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you. #hermes #aiagents #networkchuck

Deploy Hermes Agent with Hostinger here: https://www.hostg.xyz/SHJWj Use code "techwithtim" for 10% off. Hermes Agent is the most popular personal AI assistant framework right now. In this full beginner course, I'll walk you through every single step to get it set up, configured, and actually useful from scratch. No coding experience needed. No complicated setup. By the end of this video you'll have a fully functioning AI agent running 24/7 on a virtual private server, connected to your email, calendar, and more, that gets smarter the more you use it. Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide "How to Make Money With Coding" instantly: https://techwithtim.net/newsletter 🚀 Tools I Use Get 10% off with code techwithtim Openclaw setup: https://www.hostinger.com/techwithtim VPS setup: https://www.hostinger.com/techwithtim10 Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26 🎞 Video Resources 🎞 Hermes Docs: https://hermes-agent.nousresearch.com/ ⏳ Timestamps ⏳ 0:00 Overview 00:53 What is Hermes Agent? 02:43 Pre-Requisites 03:21 How Hermes Agent Works 06:48 Understanding Memory & Skills 08:17 Agent Soul 10:14 Security Disclosure & Risks 13:52 VPS Setup & Deployment 18:30 Hermes Setup Options 26:20 Telegram Message Setup 29:40 Browser Tools & Setup 32:20 Basic Usage and TUI 34:23 Telegram Usage 37:40 Setting the User Preferences & Soul 39:00 GitHub Backup & Setting Credentials 47:28 Voice & TTS 48:38 Fixing Browser Control 49:58 How to Connect ANY Tool (Gmail, Meta, etc.) 54:56 Scheduled Automations #HermesAgent #AIAssistant #AIAgents UAE Media License Number: 3635141

An LLM is an incredibly powerful brain that knows everything about humanity and nothing about you or the software you run. This video walks through the four buzzwords that turn that raw brain into a system you can trust: agent harness, loop engineering, LLM Ops, and eval. No jargon, step by step, technical or not. You can build anything. You can learn anything. 💪 Timeline 0:00 Intro: the 4 AI agent buzzwords 0:42 What an AI agent run actually is 1:52 The memory system: procedural, semantic, episodic 3:37 What "harness" really means (the horse) 5:07 Storing and updating memory (databases, skills, summarizer agent) 8:28 Retrieval: RAG, SQL vs semantic search 10:00 Tool calling and why agents loop 10:52 Loop engineering and end-loop guardrails 13:21 A Claude Code hooks example 14:18 Eval and LLM Ops: why you need them 15:55 Tracing every run (Langfuse, LangSmith) 16:43 Evaluation: LLM as a judge 17:20 Diagnosing what broke 18:16 The gate: ship the fix or fix the bug 18:57 Zoom out: the full system 19:53 Wrap up Launch Full-Stack App Template: https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase My AI Agent Startup AutoManus.io is an AI sales lead manager for made-to-order product sales. We embed directly where conversations happen (WhatsApp, email, web chat) to capture inbound, automate follow‑ups, and kill CRM busywork; live with 4 pilots and 2 contracts in motion, pre‑seed backed by Character VC. Focused on US/UK/Germany, raising to expand engineering and scale deployments. ☕️ Buy me a coffee: https://buy.stripe.com/5kA176bA895ggog4gh - X: https://x.com/ShenSeanChen - Sean's Discord: https://discord.gg/tvECErKcFr - AutoManus Discord: https://discord.gg/5HhcNjCR - LinkedIn: https://linkedin.com/in/shen-sean-chen - Github Link: https://github.com/ShenSeanChen - Instagram: https://www.instagram.com/sean_ai_stories Sub Count when launched: 13,050 Top Github Repos - LaunchMVP NextJS,Supabase,Stripe (1015 stars): https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase - ReactNextJSTips (114 stars): https://github.com/ShenSeanChen/yt-react-nextjs-tips - DeepResearchAgentBackend (70 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Backend - SupabaseTipsKanban (64 stars): https://github.com/ShenSeanChen/yt-supabase-tips-kanban - RAGVectorDB (56 stars): https://github.com/ShenSeanChen/yt-rag - KimiK2Claude (37 stars): https://github.com/ShenSeanChen/yt-kimi-k2-claude - DeepResearchAgentFrontend (33 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Frontend - AgenticRAG (13 stars): https://github.com/ShenSeanChen/yt-agentic-rag You Can Build Anything Playlist (Full-Stack Dev Without CS Degrees) - Core7: 95% React/NextJS Use Cases https://www.youtube.com/watch?v=vZzFlAjz4rA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=16 - Core6: 95% Supabase Use Cases https://www.youtube.com/watch?v=Pnoq2tIif3s&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=15 - Core5: StripeNextJSSupabase https://www.youtube.com/watch?v=ad1BxZufer8&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=8 - Core4: AuthSupabaseGoogle https://www.youtube.com/watch?v=AZAU3ClAWWE&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=6 - Core3: FastapiGCPPro https://www.youtube.com/watch?v=u3sfqpzzo-U&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=5 - Core2: SupabaseHero https://www.youtube.com/watch?v=V0kmgkyPsVQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=4 - Core1: LaunchAnApp https://www.youtube.com/watch?v=iQ2izvGG4tQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=3 - Launch WhereToMeet w/ GoogleMaps, Calendar, Supabase, Cursor: https://www.youtube.com/watch?v=5xMjX1QxGUY&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=2 - Launch EncourageMe w/ Cursor, Supabase, Vercel https://www.youtube.com/watch?v=hnvL4xa2DHA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR

Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows! https://platform.claude.com/docs/en/agent-sdk/overview https://x.com/trq212 **AI Summary** This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the **Claude Agent SDK**. The session moves from high-level theory—defining "agents" as autonomous systems that manage their own context and trajectory—to a live-coding demonstration. Shihipar builds an agent "Harness" from scratch, implementing the core **Agent Loop** (Context Thought Action Observation), integrating the **Bash tool** for general computer use, and demonstrating **Context Engineering** via the file system to maintain state across long tasks. **Timestamps** 00:00 Introduction: Agenda and the "Agent" definition 05:15 The "Harness" concept: Tools, Prompts, and Skills 10:10 Live Coding Setup: Initializing the Agent class and environment 15:45 implementing the "Think" step: Getting the model to reason before acting 25:20 The Agent Loop: connecting `act`, `observe`, and `loop` 33:10 Tool Execution: Handling XML parsing and tool inputs 42:00 The "Bash" Tool: Giving the agent command line access 49:30 Safety & Permissions: "ReadOnly" vs "ReadWrite" file access 58:15 Context Engineering: Using `ls` and `cat` to build dynamic context 01:05:00 The "Monitor": Viewing the agent's thought process in real-time 01:12:45 Handling "Stuck" States: Feedback loops and error correction 01:21:20 Multi-turn Complex Tasks: Building a "Research Agent" demo 01:35:10 Refactoring patterns: "Hooks" and deterministic overrides 01:48:39 Q&A: Reproducibility, helper scripts, and non-determinism 01:50:31 Q&A: Strategies for massive codebases (50M+ lines) 01:52:00 Closing remarks and future SDK roadmap * **Evolution of AI Capabilities:** Shihipar argues we are shifting from **LLM Features** (categorization, single turn) to **Workflows** (structured, multi-step chains like RAG) to **Agents**. He defines agents as systems that *"build their own context, decide their own trajectories, and work very autonomously"* rather than following a rigid pipeline. * **The Claude Agent SDK Architecture:** The SDK is built directly on top of **Claude Code** because Anthropic found they were *"rebuilding the same parts over and over again"* for internal tools. * **The Harness:** A robust agent requires more than just a model; it needs a "Harness" containing Tools, Prompts, a **File System**, Skills, Sub-agents, and Memory. * **Opinionated Design:** The SDK bakes in lessons from deploying Claude Code, specifically the "opinion" that general computer use (Bash) is often superior to bespoke tools. * **The Power of the Bash Tool:** A key technical insight is that the **Bash tool** is often the most powerful tool for an agent. Instead of building custom tools for every action (e.g., a specific API wrapper for a file conversion), giving the agent access to the shell allows it to use existing software (like `ffmpeg`, `grep`, or `git`) to solve problems flexibly, similar to how a human developer works. * **Context Engineering:** Shihipar introduces the concept of **Context Engineering** via the file system. Instead of just "Prompt Engineering," the agent uses the file system to manage its state and context. * **Files as Memory:** The agent can write to files to "remember" things or create its own documentation (e.g., `CLAUDE.md`) to ground future actions. * **Verification:** The file system serves as a ground truth for the agent to verify its work (e.g., checking if a file was actually created). * **The Agent Loop & Intuition:** Building a successful agent loop is described as *"kind of an art or intuition"*. The loop generally follows a **Gather Context Take Action Verify Work** cycle. Shihipar emphasizes that this loop allows the agent to self-correct, a capability missing from rigid workflows. * **Strategies for Determinism (Hooks):** During the Q&A, a technique for controlling agent behavior is discussed: **Hooks**. * If an agent hallucinates or skips a step (e.g., guessing a Pokemon stat instead of checking a script), a hook can intercept the response and inject feedback: *"Please make sure you write a script, please make sure you read this data."* * This enforces rules like "read before you write" without retraining the model. * **Scaling to Large Codebases:** For massive codebases (50M+ lines), standard tools like `grep` or basic context window stuffing fail. * **Semantic Search Limitations:** Shihipar notes that while semantic search is a common solution, it is *"brittle"* because the model isn't trained on the specific semantic index. * **Solution:** He recommends good **"Claude MD"** files (context files) and starting the agent in a specific subdirectory to limit scope, rather than trying to index the entire 50M lines at once.

Ryan Singer is one of the earliest employees and the former Head of Strategy at 37signals (the makers of Basecamp), where he spent nearly two decades refining a product development approach that helped the company build super-successful products with small teams. Based on these lessons, he wrote "Shape Up: Stop Running in Circles and Ship Work that Matters," and Ryan now works with companies of all sizes to help them escape the cycle of endless sprints, missed deadlines, and dragging projects. What you’ll learn: 1. Why traditional Agile and Scrum methods often lead teams into endless cycles of work without meaningful shipping milestones. 2. The “appetite-driven” approach to product development where teams set fixed timeboxes (usually six weeks maximum) and vary the scope instead of expanding timelines. 3. The exact process for running effective “shaping” sessions that collaboratively define projects before committing resources. 4. Why most teams struggle with too little detail in their planning, not too much. 5. Why a 30-to-50-person team size is the critical breaking point when growing startups need to adopt more structured processes. 6. Practical techniques for bridging the engineering-design divide by bringing technical and product perspectives together earlier in the process. 7. The powerful “breadboarding” and “fat marker sketching” techniques that help teams align on solutions without getting lost in high-fidelity details. 8. The clear warning signs that your current development process is failing before it’s too late to change course. 9. Proven strategies to implement Shape Up methods, whether you’re working in a startup or enterprise environment. 10. A step-by-step approach to transitioning from Scrum to Shape Up by piloting the methodology with a single team before broader implementation. 11. Why the PM role shifts upstream in Shape Up, focusing more on problem definition than project management. 12. How to adapt Shape Up principles to your company’s unique context, even if it’s nothing like Basecamp. — Brought to you by: • WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny • Merge—A single API to add hundreds of integrations into your app: http://merge.dev/lenny • Airtable ProductCentral—Launch to new heights with a unified system for product development: https://www.airtable.com/lenny Find the transcript at: https://www.lennysnewsletter.com/p/shape-up-ryan-singer Where to find Ryan Singer: • X: https://x.com/rjs • LinkedIn: https://www.linkedin.com/in/feltpresence/ • Website: https://www.ryansinger.co/ • Course: https://www.ryansinger.co/srl/ Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ In this episode, we cover: (00:00) Ryan’s background (04:38) The origins of Shape Up (07:40) Implementing Shape Up in different companies (09:56) How Shape Up is different (19:02) The core elements of Shape Up (26:29) Shaping sessions and timeboxing (37:23) Flexible sprint planning (38:56) The output of a shaping session (46:57) Balancing detail and flexibility (53:50) A deep dive into shaping sessions (01:01:32) Fat marker sketches (01:02:48) Getting started using Shape Up (01:13:20) Signs it's time to try the Shape Up method (01:18:25) Feature factories (01:25:59) The role of the PM in Shape Up (01:28:26) What makes Basecamp unique (01:35:55) The second edition of the book (01:38:30) Linking product strategy and shaping (01:41:53) Conclusion and final thoughts Referenced: • Basecamp: https://basecamp.com/ • David Heinemeier Hansson on LinkedIn: https://www.linkedin.com/in/david-heinemeier-hansson-374b18221/ • Jason Fried on LinkedIn: https://www.linkedin.com/in/jason-fried/ • Jason Fried challenges your thinking on fundraising, goals, growth, and more: https://www.lennysnewsletter.com/p/jason-fried-challenges-your-thinking • Des Traynor on LinkedIn: https://www.linkedin.com/in/destraynor/ • Intercom: https://www.intercom.com/ ...References continued at: https://www.lennysnewsletter.com/p/shape-up-ryan-singer Recommended books: • Shape Up: Stop Running in Circles and Ship Work That Matters: https://basecamp.com/shapeup • Demand-Side Sales 101: Stop Selling and Help Your Customers Make Progress: https://www.amazon.com/Demand-Side-Sales-101-Customers-Progress/dp/1544509987/ • Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612/ • Job Moves: 9 Steps for Making Progress in Your Career: https://www.amazon.com/Job-Moves-Making-Progress-Career/dp/0063283581 Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. Lenny may be an investor in the companies discussed.

Visit sintra.ai/leonvanzyl or use my promo code leonvanzyl at checkout to receive limited time offer of 72% off on all plans 🚀 Free resources: source code, prompts, workflows + peer discussion https://skool.com/leonvanzyl 🧪 Agentic Labs: AI coding courses, live Q&A, weekly builder challenges, direct access to me + a serious builder community https://skool.com/agentic-labs OpenCode is the open source coding agent that is quickly becoming a serious alternative to Claude Code. In this opencode tutorial, you will learn how to install OpenCode, connect free AI models through OpenCode Zen or premium providers like OpenAI, and master advanced features including agent skills, sub agents, MCP servers, and background agents. ⏱️ CHAPTERS: 00:00 - OpenCode intro and overview 00:39 - Installing OpenCode in seconds 01:25 - Connecting providers and OpenCode Zen 02:20 - Free AI coding models walkthrough 03:46 - Scaffolding a Next js project 04:55 - Subscriptions vs API keys 06:00 - Connecting OpenAI and GPT 5 07:30 - Installing agent skills from skills sh 10:30 - AGENTS md memory file setup 13:00 - Sub agents and context window protection 15:30 - Design system for consistent UI 15:50 - Sponsor message 18:00 - Building the AI Project Planner app 22:30 - Saving plans for future sessions 24:30 - Creating custom sub agents 28:30 - Playwright MCP server setup 30:30 - Auto testing the app with browser MCP Business & sponsorship enquiries: leon.vanzyl@gmail.com #opencode #agenticcoding