beti5

Run Claude Code locally with Ollama on Windows, with a simple launcher, setup guide, and CPU/GPU troubleshooting notes.

45
15
100% credibility
Found Apr 01, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Batchfile
AI Summary

A Windows-specific setup folder with a launcher to run Claude Code locally via Ollama models without an Anthropic API key.

How It Works

1
🔍 Discover free local AI coder

You hear about a simple setup to run a smart coding assistant on your own Windows computer without paying for online services.

2
💻 Prepare your computer

Get the free local AI runner installed and running, plus the basic tools needed for AI chats on your Windows PC.

3
📥 Download a small AI brain

Grab a lightweight AI model designed to work smoothly even on everyday home computers.

4
🚀 Launch your personal helper

Use the easy starter button to bring your AI coding buddy to life locally – everything starts working right away!

5
🔧 Tweak for better speed

Switch to computer-only mode or a tinier model if things feel slow, following simple fixes.

Enjoy private coding magic

Now you chat with your smart assistant for code help anytime, all offline and super secure on your machine.

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Star Growth

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AI-Generated Review

What is claude-code-ollama-local?

This Batchfile project sets up a simple Windows launcher to run Claude Code locally with Ollama, bypassing Anthropic API keys for a free claude code local llm ollama experience. Developers get a one-click way to launch claude code ollama local sessions using lightweight models like qwen3:1.7b, with easy swaps to larger ones via environment variables. It solves the hassle of cloud dependencies by providing claude code use local ollama troubleshooting for CPU/GPU issues right in the docs.

Why is it gaining traction?

It stands out by making run claude code locally ollama dead simple—no Docker or complex configs needed, just Ollama, Node.js, and the global Claude Code CLI. The built-in launcher forwards args to claude code router local ollama, handles model selection, and includes CPU fallbacks for flaky GPUs, which users notice in smoother runs on modest hardware. Developers hook on the zero-cost run claude code for free alternative to paid APIs, especially for terminal-based claude code local model ollama experiments.

Who should use this?

Windows devs prototyping AI-assisted coding without API bills, like backend folks testing claude code with local llm prompts in terminals. It's ideal for hobbyists or low-spec machine users running claude opus locally via Ollama, or anyone debugging ollama crashes with the included CPU tweaks and ps checks. Skip if you're on macOS/Linux or need production-scale run claude code in docker.

Verdict

Grab it for quick local Claude Code trials if you're on Windows—solid docs and troubleshooting make it usable despite 45 stars and 1.0% credibility score signaling early maturity. Test on low-end hardware first; it's a lightweight entry to run claude locally but lacks broad testing or multi-OS support.

(178 words)

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