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Production-ready multi-agent orchestration harness for Kimi Code CLI (K2.6): worktree team runtime, DAG/ensemble planning, MCP skill-hooks, quality gates, and local graph memory. | Kimi Code CLI(K2.6)向け本番対応マルチエージェント基盤: worktreeチーム実行、DAG/ensemble計画、MCP/スキルフック、品質ゲート、ローカルグラフ記憶を提供。

11
0
100% credibility
Found May 01, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

oh-my-kimichan is a command-line enhancement for Kimi Code CLI that adds multi-agent orchestration, safety hooks, quality checks, and project memory to enable collaborative AI coding workflows.

How It Works

1
🔍 Discover oh-my-kimichan

You find this fun tool that turns a simple AI chat into a helpful coding team while browsing helpful projects.

2
📦 Get it ready with one click

You add the tool to your computer easily, like installing a helpful app.

3
🛠️ Prepare your project space

You run a quick setup command to organize your files and get everything in place for teamwork.

4
Check that all is good

The tool scans your setup and confirms your AI helper, files, and tools are ready to go.

5
Start chatting or team mode
💬
Quick chat

Ask questions and get instant advice from your smart assistant.

👥
Team up

Let a group of AI experts plan, build, and check your work together.

6
🎯 Give tasks to your helpers

Tell them what you want done, like planning a feature or fixing code, and watch them work safely.

🎉 Enjoy safe, checked results

Your project improves with clean code, tests passed, and no risky changes—ready to use!

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Star Growth

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AI-Generated Review

What is oh-my-kimichan?

oh-my-kimichan is a TypeScript CLI harness that turns Kimi Code CLI (K2.6) into a production-ready multi-agent coding team, handling worktree isolation, DAG/ensemble planning, MCP skill hooks, quality gates, and local graph memory. Developers run commands like `omk init`, `omk doctor`, `omk chat`, `omk plan `, or `omk team` to scaffold agents, orchestrate tasks across roles like architect/coder/reviewer/QA, and enforce safety with hooks blocking destructive commands. It solves chaotic single-agent AI coding by providing structured, verifiable multi-agent flows in existing repos.

Why is it gaining traction?

Unlike raw LangGraph production ready github setups or generic production ready ai agents github tools, it bolts onto Kimi-native workflows with built-in tmux team runtimes, DESIGN.md UI generation, and live HUD monitoring—zero setup for quality gates like lint/test/build. The hook is its YOLO-by-default policy for open-source automation, paired with secret-protecting hooks and local-first graph memory that persists without external services. Developers grab it for fast, safe agentic coding without rebuilding production ready code github from scratch.

Who should use this?

Solo devs or small teams building production ready ai projects github with Kimi, especially those handling complex refactors, UI from DESIGN.md, or multi-role reviews in TypeScript/Node repos. Ideal for backend engineers wanting DAG/ensemble orchestration without Azure AI Foundry overhead, or full-stack folks tired of manual agent handoffs in CLI-driven code generation.

Verdict

Try it if you're deep in Kimi ecosystems—solid docs, MIT license, and npm-ready at v0.2.2 make onboarding quick despite 11 stars and 1.0% credibility score signaling early maturity. Pair with `omk doctor` for reliability; it's not battle-tested for high-stakes prod yet, but a smart harness for agentic experiments.

(198 words)

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