yejiming

yejiming / KittyCrew

Public

A local-first home for AI pets and companions, bringing Claude Code, Codex, and GitHub Copilot together in one cozy multi-agent workspace.

agent claude-code clawdbot codex cowork
18
1
100% credibility
Found Apr 04, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

KittyCrew provides a cat-themed local web interface for organizing and chatting with multiple AI coding companions from various command-line tools.

How It Works

1
🐱 Discover KittyCrew

You stumble upon KittyCrew, a delightful app that turns AI helpers into a cozy family of cat companions living in one warm home.

2
🚀 Start the app

Follow simple steps to install and launch it, opening a cute cat-themed webpage right on your own computer.

3
🏠 Create a crew

Tap the plus button to make your first little group home where your AI pets can live together.

4
✨ Add your pets

Choose friendly AI helpers like Claude or Copilot, pick adorable cat avatars and names, and give each their own cozy room.

5
💬 Chat with them

Type a message to a pet, watch it think with twinkly eyes, and see helpful replies stream in live.

6
🎨 Personalize freely

Swap avatars, tweak skills, rename, or add more pets to make your crew feel just right.

😺 Your crew helps daily

Relax with your personalized team of smart cat friends assisting on work, ideas, and fun tasks anytime.

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Star Growth

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AI-Generated Review

What is KittyCrew?

KittyCrew is a local-first home for AI pets and companions, bringing Claude Code, Codex, GitHub Copilot, Kimi, and OpenCode together in one cozy multi-agent workspace. Developers get a cat-themed web dashboard to assemble "crews" of up to five agents, each with persistent chat history, custom models, working directories, and approved skills. Built in Python with FastAPI, install via pip and launch with `kittycrew` for a UI at localhost:8731—no cloud required.

Why is it gaining traction?

It stands out by turning cold CLI tools into warm, present companions in a shared local-first home, sidestepping fragmented terminals or cloud dashboards. Users notice seamless streaming chats, per-agent isolation, and runtime provider detection, fueling the home local first rebellion among privacy-focused devs. The cozy UI with avatars and themes hooks those tired of utility panels.

Who should use this?

AI power users juggling multiple coding CLIs, like backend devs building local-first smart home prototypes or full-stack teams prototyping multi-agent workflows. Ideal for local first time homebuyer programs hackers or GitHub Copilot fans wanting Claude code companions without switching contexts. Skip if you need enterprise scale.

Verdict

Try it for fresh local-first GitHub agent orchestration, but temper expectations—18 stars and 1.0% credibility signal early-stage maturity with solid docs and graceful degradation. Promising v0.1.0 foundation; contribute to polish onboarding.

(178 words)

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