imkunal007219

imkunal007219 / claude-coworker-model

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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.

24
3
100% credibility
Found May 05, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of tools that delegates file reading, code generation, and chat extraction to inexpensive AI models so premium AIs like Claude can focus on reasoning and architecture.

How It Works

1
🔍 Discover the Coworker Helper

You hear about a smart sidekick that lets your main AI focus on big ideas while it handles reading files and routine tasks, saving you time and money.

2
📥 Get It Ready

You grab the tool and run a simple setup script that prepares everything on your computer in a few minutes.

3
🔌 Link a Budget AI Friend

You connect a low-cost AI service or your local one so the helper can read and process your project files affordably.

4
💬 Ask About Your Code

You point it at your files and ask questions like 'find security risks' or 'list all functions', getting clear summaries instantly.

5
✍️ Create New Code or Docs

You tell it to write tests or documentation matching your style, using existing files as guides, and save the results right where you need them.

6
📝 Guide Your Main AI

You add a simple note in your project telling your primary AI when to hand off tasks to the helper.

🎉 Work Smarter, Spend Less

Now your AI team handles huge projects without hitting limits or high costs, keeping your weekly budget intact and productivity soaring.

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Star Growth

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AI-Generated Review

What is claude-coworker-model?

This Python CLI toolkit gives Claude Code a budget coworker for token-heavy tasks like scanning codebases, generating boilerplate, or extracting session logs. It delegates bulk I/O to cheap OpenAI-compatible LLMs such as Kimi, DeepSeek, or Ollama, freeing Claude for architecture and reasoning—saving 60-70% on tokens. Run tools like ask-kimi to analyze files with globs, kimi-write to mimic styles in new outputs, or extract-chat to parse JSONL transcripts.

Why is it gaining traction?

It slashes Claude Pro limits by offloading file reads to structured summaries with paths and lines, while workers handle give Claude code access to folder or local files without context explosion. Quick env var setup supports multiple providers, and CLAUDE.md rules automate delegation for give Claude code all permissions on I/O. Devs hook on real savings—like $0.38 for weeks of use—and precise outputs for github give read only access to private repo scans.

Who should use this?

Claude Code users burning tokens on monorepo analysis or doc updates, backend engineers giving Claude access to local files for security audits, or teams generating tests/docs matching existing styles. Perfect for give Claude access to Obsidian vaults, github give access to private repo with link summaries, or extract-chat for session reviews before give Claude code documentation pushes.

Verdict

Solid starter for token optimization if you're deep in Claude workflows, but 24 stars and 1.0% credibility score signal early maturity—great docs, light on tests. Worth a spin for heavy users; PRs could boost reliability fast.

(198 words)

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