by imkunal007219 · Agent Tool · ★ 150
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Claude Coworker Model Offload bulk I/O from Claude Code to cheap LLMs. Save thousands of tokens on file reading, boilerplate generation, and doc updates. Worker calls cost $0.02; primary model focuses on architecture. Quick Start How It Works The expensive model (Claude) handles reasoning and architecture. The cheap worker model handles token-heavy I/O: Read: Worker ingests large codebases, returns structured summaries with file paths and line numbers Generate: Worker produces boilerplate using existing files as style references Extract: Worker parses session transcripts for documentation Pattern: Claude decides what to do; the worker does the reading/writing. Configuration Three environment variables configure any OpenAI-compatible provider: Provider Examples Kimi (Moonsho
| Stars | 150 |
| Forks | 38 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.3989492431512/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-10 |
| Created | 2026-05-04 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~1k |
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claude-coworker-model is Give Claude Code a cheap coworker. CLI tools that delegate bulk I/O to cheap LLMs (Kimi, DeepSeek, Ollama). Save 60-70% of your token budget.. It is categorized as a Agent Tool with 150 GitHub stars.
claude-coworker-model is primarily written in Python.
You can find installation instructions and usage details in the claude-coworker-model GitHub repository at github.com/imkunal007219/claude-coworker-model. The project has 150 stars and 38 forks, indicating an active community.
claude-coworker-model is released under the MIT license, making it free to use and modify according to the license terms.
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