you need to use Hermes RIGHT NOW!! (goodbye OpenClaw!!)

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

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.

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

An overview and starting point for Claude Code. Check out my coding with AI course: https://www.codingwithaicourse.com/ $100 Neon Credits: https://get.neon.com/6uuwMG3 Follow Neon to not miss course giveaways: - X/Twitter: https://x.com/neondatabase - Linkedin: https://www.linkedin.com/company/neondatabase Github Gist With Prompts: https://gist.github.com/bradtraversy/9937e0ecfc8a5b269ce6a885636670dc Crypto Dash Repo: https://github.com/bradtraversy/crypto-dash Timestamps: 0:00 - intro 2:23 - What Is Claude Code 3:56 - Installing Claude 6:43 - First Launch 7:26 - Models & Usage Limits 10:44 - Effort 11:14 - Using Claude In VS Code 12:16 - The First Prompt 16:10 - Shell Mode 17:30 - Modes 19:15 - Settings & Permissions 22:55 - VS Code Extension 24:05 - Refactoring Code 27:03 - Context, Tokens & Clearing 29:20 - Global Sessions 33:14 - Working on an Existing Project 35:48 - Claude.md File & /init 39:28 - Plan Mode 44:58 - Adding Favorites Feature 48:05 - Skills 53:27 - MCPs 57:51 - Sub-Agents

💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Timestamps: 00:00:00 - Intro 00:01:23 - Why use Elixir 00:03:48 - Installation and Setup 00:07:15 - Intro to Mix 00:09:02 - Overview of Elixir Files 00:10:52 - Running and Elixir Script 00:13:40 - Compiling Elixir 00:16:36 - Running an Elixir Application 00:23:29 - Intro to Hex 00:25:40 - Basic Types 00:26:53 - Creating a Variable 00:27:52 - Module Attributes 00:29:01 - Atoms and Strings 00:35:35 - Strings 00:38:40 - More about Hex 00:39:49 - Numbers 00:47:39 - Compound Types 00:47:53 - Dates and Times 00:50:50 - Example App - Time Until the New Year 00:56:27 - Tuples 01:01:59 - Lists and Loops 01:04:15 - Mapping 01:04:47 - Structs 01:11:46 - Building a Guessing Game - Taking User Input 01:14:00 - if Statements 01:15:07 - Random Number 01:16:26 - Docs and Arity 01:17:28 - Cases and Errors 01:19:19 - Case 01:22:23 - Lists 01:24:16 - Append and Prepend 01:25:29 - Comprehensions with Conditions 01:27:22 - Functional Programming 01:30:07 - Defining Custom Functions 01:34:41 - What’s Next? 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://calcur.tech/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry

💻 Source Code: https://cwa.run/nodebase 🎨 Free Assets: https://cwa.run/node-assets 🎥 Part 2: https://youtu.be/S-4DrLHtL1s?si=n4a7jM4FUWf9NN32 📚 Resources: Try Inngest: https://cwa.run/node-inngest Try Polar: https://cwa.run/node-polar Try Better Auth: https://cwa.run/node-auth Try Sentry: https://cwa.run/sentry Try CodeRabbit: https://cwa.run/node-rabbit Try Neon: https://cwa.run/node-neon In this tutorial, we're building Nodebase, a complete workflow automation platform from scratch. You'll learn how to create a visual drag-and-drop canvas for building workflows, integrate multiple triggers and AI providers, handle background job execution, and build a full SaaS business layer with authentication, subscriptions, and paywalls. We'll also cover error tracking with AI monitoring and a professional Git workflow with AI-powered code reviews. Key features: 🔄 Visual workflow builder 🎯 Trigger nodes (Webhook, Google Form, Stripe, Manual) 🤖 AI integrations (OpenAI, Claude, Gemini) 💬 Messaging nodes (Discord, Slack) 🌐 HTTP request node ⚡ Background job execution with Inngest 💳 Polar payments & subscriptions 🔐 Better Auth authentication 🎨 React Flow canvas 🗄️ Prisma ORM + Neon Postgres 🔒 Type safety with TypeScript + tRPC 🐛 Sentry error tracking + AI monitoring 🧑‍💻 CodeRabbit PR reviews 🌐 Next.js 15 App Router 📱 Production-ready SaaS Timestamps 00:00 Intro 06:05 01 Setup 29:33 02 Database 56:15 03 tRPC Setup 01:35:21 04 Authentication 02:37:24 05 Theme & Styling 02:55:05 06 Background Jobs 03:28:09 07 AI Providers 04:01:53 08 Error Tracking 04:27:54 09 Sidebar Layout 05:06:26 10 Payments Setup 05:44:04 11 Workflows Crud 06:45:20 12 Workflows Pagination 07:34:34 13 Workflows UI 08:23:40 14 Workflow Page 08:59:36 15 Editor Setup 09:50:42 16 Node Selector 10:40:32 17 Editor State 11:59:20 End of Part 1