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use-ollama-to-enhance-claude

agent
Guvenlik Denetimi
Uyari
Health Gecti
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 23 GitHub stars
Code Uyari
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This is a visual tutorial and prompt repository designed to pair Claude Desktop with Claude Code routed through Ollama. It provides an HTML walkthrough and copy-paste instructions to offload heavy, repetitive coding tasks to a free local model, aiming to reduce Anthropic API usage costs by roughly 90%.

Security Assessment
Overall Risk: Low. The repository does not contain dangerous permissions or hardcoded secrets. It functions primarily as a static HTML presentation and a collection of Markdown prompts. However, it is important to note that the copy-paste prompt it provides is designed to instruct your local AI to automatically install software, configure systems, and potentially execute shell commands based on the user's OS. While the tool itself does not perform these actions autonomously, users should always read the provided prompts carefully before feeding them into an AI agent. No supported source code files were available for a deep automated scan, meaning the review relies heavily on the repository's structure and documentation.

Quality Assessment
The project is highly transparent about its goal and is covered by a standard MIT license. It appears to be actively maintained, with the most recent repository push occurring today. While it has a modest community footprint with 23 GitHub stars, its primary value is as an instructional guide rather than a complex software package, so community size is less of a concern.

Verdict
Safe to use, provided you review the generated prompt before allowing your AI agent to automatically execute system-level installations and configurations.
SUMMARY

Pair Claude Desktop on Anthropic with Claude Code routed through Ollama. Visual walkthrough + copy-paste prompt that cuts your Claude Code bill ~90%.

README.md

Use Ollama to Enhance Claude — Two-Engine Setup

Pair Claude Desktop on Anthropic with Claude Code routed through Ollama in your terminal. Strategy stays on Pro. Heavy footwork runs on a free open-source model. Cut your Claude Code bill ~90%.

Live Tutorial
Made by Coherence Daddy

What this is

A 21-slide visual walkthrough that pairs your Anthropic Claude Desktop app with an Ollama-backed Claude Code terminal session — so the strategic work stays on Pro while the heavy lifting runs on a free open-source model (Gemma, Qwen, DeepSeek, your pick).

  • Auto-detects your OS — macOS, Windows + WSL2, Linux
  • Copy-paste prompt — drop one block into Claude and it does ~98% of the setup for you
  • Verifies both engines side-by-side at the end so you know it actually worked
  • Self-contained HTML — no build step, opens in any browser

Why this exists

Claude Pro on the Desktop app is great for thinking, planning, and architecture. Claude Code in the terminal eats quota fast — context-heavy tasks like lints, refactors, file batch ops, and grep-and-replace can burn through your monthly limit in days.

The fix: route Claude Code through Ollama (local or cloud-hosted free model). Two engines, same UX, one bill cut by an order of magnitude.

Quick start

1) Open the live tutorial (recommended)

The hosted version has the full visual deck, OS-aware steps, and the copy-paste prompt:

→ coherencedaddy.com/tutorials/use-ollama-to-enhance-claude

2) Or use the copy-paste prompt directly

If you want to skip the visuals and let Claude do it all for you:

  1. Open prompts/copy-paste-prompt.md
  2. Copy the entire file contents
  3. Paste into a fresh Claude Desktop / Claude.ai conversation
  4. Follow along — it auto-detects your OS, installs everything, configures the router, and verifies both engines

3) Or run the presentation locally

git clone https://github.com/Coherence-Daddy/use-ollama-to-enhance-claude.git
cd use-ollama-to-enhance-claude/presentation
open index.html   # macOS
# or just drag index.html into a browser

What you'll have when you're done

Engine Where it runs What it's for
Claude Desktop (Anthropic) Native app Strategy, architecture, code review, tricky bugs
Claude Code → Ollama Your terminal Lints, refactors, repetitive edits, file batch ops

Two side-by-side panes. Same UX. One of them is free.

What's in this repo

.
├── README.md                          ← this file
├── LICENSE                            ← MIT
├── prompts/
│   └── copy-paste-prompt.md           ← the canonical setup prompt
└── presentation/
    ├── index.html                     ← 21-slide visual walkthrough
    ├── cd-face-coral.png              ← brand asset
    └── copy-paste-prompt.md           ← (mirror of /prompts version, kept beside the deck)

The presentation is the same exact HTML served at coherencedaddy.com/tutorials/use-ollama-to-enhance-claude. Open it locally, host it yourself, or fork it for your own walkthroughs.

Companion tutorial

If you want Claude Desktop wired to your Obsidian vault as a permanent semantic memory (with a one-click installer), see the sibling repo:

→ Coherence-Daddy/give-obsidian-a-memory — Local brain over your notes, indexed by BGE-M3, queryable by meaning. Ships with a one-click installer.

The two tutorials are independent — pick either or run both. This one is the lighter "two-engine" terminal setup; the other is the full Obsidian + local brain stack.

Topics

claude-code ollama gemma llm-tools cost-optimization agentic-coding anthropic open-source-llm

License

MIT — see LICENSE. Use it, fork it, ship a YouTube walkthrough of it. No attribution required, but if you do credit it, link to coherencedaddy.com.

About Coherence Daddy

Coherence Daddy is a 508(c)(1)(A) faith-driven technology organization on a mission to help humanity be more coherent. We build private, secure self-help tools — and the occasional tutorial that saves you a few hundred bucks on AI bills.

If this saved you a real chunk of money, the kindest thing you can do is ⭐ this repo and share the tutorial link.

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