Route Claude Code through Ollama and Cut Your Bill ~90%

This repo by Coherence Daddy provides a complete setup to route Claude Code terminal sessions through a local Ollama instance while keeping Claude Desktop on Anthropic's paid Pro tier. The result: a claimed ~90% reduction in Claude Code API costs.
How It Works
You run two engines side by side:
- Claude Desktop (Anthropic) – used for strategy, architecture, code review, and tricky bugs.
- Claude Code → Ollama – used for lints, refactors, repetitive edits, batch file ops, and grep-and-replace tasks. Runs on a free open-source model (Gemma, Qwen, DeepSeek, your choice).
Setup Process
The repo includes a self-contained HTML presentation (21 slides) with a copy-paste prompt that does ~98% of the setup automatically. It auto-detects your OS (macOS, Windows + WSL2, Linux), installs everything, configures the router, and verifies both engines at the end.
To run 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 drag into browserOr directly use the copy-paste prompt from prompts/copy-paste-prompt.md.
Repository Structure
prompts/copy-paste-prompt.md– the setup prompt.presentation/index.html– full visual deck (no build step required).- Also hosted at coherencedaddy.com/tutorials/use-ollama-to-enhance-claude.
Why This Exists
Claude Pro on desktop is great for thinking and architecture, but Claude Code in the terminal burns through quota fast on context-heavy tasks. Routing those tasks through Ollama (local or cloud-hosted free models) keeps the same UX but at a fraction of the cost.
License
MIT – free to use, fork, or remix.
📖 Read the full source: HN AI Agents
👀 See Also

Claude Code folder structure cheat sheet from Reddit user
A Reddit user created a cheat sheet for Claude Code's folder structure after encountering common pitfalls, covering .claude/ directory layout, hook events, settings.json, MCP config, skill structure, and context management thresholds.

Practical OpenClaw Setup Insights from Docker/Windows Experience
A developer shares specific lessons from running OpenClaw on Docker with Windows 11/WSL2, covering persistence issues, Discord bot configuration, memory management approaches, and browser automation workarounds.

Practical Prompt Engineering Lessons from Using Claude Code
A project manager shares specific techniques that improved Claude Code results: two-phase prompting, single-objective prompts, and highly specific role definitions.

Research Shows Effective AI Prompting Is Cooperative Communication, Not Engineering
Peer-reviewed research indicates that effective prompting with AI models follows the same cooperative communication principles humans use, with Lakera's analysis showing most prompt failures stem from ambiguity rather than model limitations.