How to Install & Setup Claude on Windows 10 (Complete Guide)
About This Video
✅ In this step-by-step tutorial, I'll show you exactly how to install and set up Claude AI on Windows 10 — completely free. Whether you're a beginner or just getting started with AI tools, this guide covers everything you need. 🔗 Download Claude Desktop App: https://claude.ai/download ⏱️ TIMESTAMPS 00:00 – Introduction 00:30 – What is Claude AI? 01:15 – Download Claude for Windows 10 02:30 – Installation walkthrough 04:00 – First-time setup & account creation 05:30 – How to use Claude on your desktop 07:00 – Tips & tricks to get the most out of Claude 📌 WHAT YOU'LL LEARN • How to download the Claude AI desktop app on Windows 10 • Step-by-step installation of Claude on PC • How to set up your Claude account and log in • Running Claude AI offline vs online on Windows • Difference between Claude and ChatGPT on desktop 🔍 ABOUT CLAUDE AI Claude is an AI assistant made by Anthropic. It's one of the most powerful AI chatbots available, known for long-context understanding, coding help, writing, and answering complex questions. The desktop app lets you use Claude directly on your Windows 10 PC without opening a browser. 🖥️ SYSTEM REQUIREMENTS • Windows 10 (64-bit) • Internet connection required • Free Anthropic account 👍 If this helped you, LIKE the video, SUBSCRIBE for more AI tutorials, and drop your questions in the COMMENTS below! --- 🔔 RELATED VIDEOS • How to Use Claude AI for Free • Claude vs ChatGPT – Which is Better? • Best AI Tools for Windows PC 2026 ---
Related Videos
OmniRoute Setup on Mac: Connect Claude Code for Free AI Tokens
earn how to install and configure OmniRoute on macOS to route Claude Code through free AI model endpoints and avoid token rate limits. Complete Terminal guide. <p class="lead">OmniRoute is an open-source local AI gateway that lets you aggregate free-tier provider models behind a single OpenAI-compatible endpoint. Follow this step-by-step guide to install OmniRoute on macOS and integrate it with Claude Code to bypass usage limits.</p> <h2>Prerequisites</h2> <ul> <li>A Mac running macOS Big Sur or newer (Intel or Apple Silicon M1/M2/M3/M4)</li> <li>Node.js (v18 or higher recommended)</li> <li>Terminal app (or iTerm2)</li> </ul> <h2>Step 1: Install OmniRoute Globally on Mac</h2> <p>Open your macOS Terminal and execute the global npm installation command:</p> <code>npm i -g omniroute</code> <h2>Step 2: Start the OmniRoute Service</h2> <p>Launch the OmniRoute gateway server locally:</p> <code>omniroute</code> <p>This starts the gateway on your local machine (defaulting to port 20128) and prints the local dashboard URL: http://localhost:20128.</p> <h2>Step 3: Connect Free Providers in the Dashboard</h2> <ol> <li>Open http://localhost:20128 in your browser.</li> <li>Navigate to the Providers tab.</li> <li>Connect your preferred free-tier API providers (such as Gemini, Groq, Kimi, GLM, or DeepSeek).</li> <li>Go to the API Keys section and generate a local token for authentication.</li> </ol> <h2>Step 4: Configure Claude Code to Route Through OmniRoute</h2> <p>To direct Claude Code CLI traffic through your local OmniRoute instance, set the Anthropic environment variables in your active shell or ~/.zshrc file:</p> <code>export ANTHROPIC_BASE_URL="http://localhost:20128"</code><br> <code>export ANTHROPIC_AUTH_TOKEN="your_omniroute_api_key"</code><br> <code>export CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY=1</code> <h2>Step 5: Verify the Connection</h2> <p>Run a test query in Claude Code to verify requests are reaching your gateway:</p> <code>claude "Hello, confirm connection status."</code> <h2>Useful Resources</h2> <ul> <li><a href="https://github.com/diegosouzapw/OmniRoute" target="_blank" rel="noopener">OmniRoute Official GitHub Repository</a></li> <li><a href="https://nodejs.org/" target="_blank" rel="noopener">Download Node.js for Mac</a></li> <li><a href="https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview" target="_blank" rel="noopener">Claude Code Official Documentation</a></li> </ul>
OmniRoute Setup on Mac: 1.62 Billion FREE AI Tokens/Month (Claude,GPT,Gemini)
OmniRoute is a free, open-source AI gateway that puts 90+ free-tier providers behind ONE local endpoint. In this video, I show you the complete OmniRoute setup on Mac, from install to connecting Claude Code, Cursor, Cline, and Codex, so you can code with free AI models and automatic fallback. 🔥 What you'll learn: - What OmniRoute is and how the free-token math works (~1.6B tokens/month) - Installing OmniRoute on macOS with npm - Opening the dashboard and connecting free providers - Using the local endpoint (http://localhost:20128/v1) in your AI tools - Auto-routing and combos: fallback when one provider hits its limit - Token compression to stretch your free limits further - Honest limits: what "free" really means ⏱️ Chapters: 0:00 Intro: Are billions of free tokens real? 0:45 What is OmniRoute? 2:00 Prerequisites (Node.js, Terminal) 3:00 Install OmniRoute on Mac 4:30 Dashboard walkthrough 6:00 Connecting free providers 09:00 Auto-routing & fallback combos 💻 Commands used: npm i -g omniroute 🔗 Links: OmniRoute GitHub: https://github.com/diegosouzapw/OmniRoute Node.js: https://nodejs.org Note: the token numbers come from the project's own aggregation of documented free tiers. Actual availability depends on the providers you sign up for and their limits, which can change. 👍 If this helped, like and subscribe for more AI tools and developer tutorials. #OmniRoute #FreeAI #AIGateway #ClaudeCode #MacSetup
I Ran Claude Code With a 0.5B Local AI Model: Does It Actually Work?
I ran Claude Code with a 0.5B local AI model on a 24GB RAM laptop to see if it actually works. In this video I test tiny local LLMs on real coding tasks and show exactly what works, what breaks, and what I'd use instead. Can a 0.5B model handle tool calling, file edits, and code generation inside Claude Code? Watch the full test to find out. ⏱️ CHAPTERS 0:00 Does Claude Code work with a 0.5B local model? 0:30 My laptop and setup (24GB RAM) [0:00] How I connected local models to Claude Code [0:00] Test 1: [task, e.g. write a function] [0:00] Test 2: [task, e.g. fix a bug] [0:00] Test 3: [task, e.g. create and edit files] [0:00] Results: what worked and what failed [0:00] Which local model size I recommend 🛠️ WHAT I USED Laptop: 24GB RAM [CPU/GPU model] Runner: [Ollama / LM Studio / other] Models tested: [model names and sizes] Setup commands and config: [link to your devnesthub.com post] 📌 KEY TAKEAWAY [One sentence verdict, e.g. "0.5B can chat and write simple code, but struggles with Claude Code's tool calling. 3B-7B is the realistic minimum."] ▶️ WATCH NEXT [Link to your next related video] Subscribe for more local AI, Claude Code, and developer tutorials. #ClaudeCode #LocalAI #Ollama #LocalLLM #AICoding