funAgent

funAgent / ai-bubu

Public

A desktop pet that tracks your AI coding activity (Cursor, Claude Code, Codex, Trae) and turns it into steps — the more you code with AI, the faster your pet runs. Built with Tauri + Vue 3. 一个桌面宠物应用,追踪你的 AI 编码工具使用情况(Cursor、Claude Code、Codex、Trae),并将活动量化为步数 ——AI 编码越多,宠物跑得越快。基于 Tauri + Vue 3 构建。

11
1
100% credibility
Found Apr 08, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Vue
AI Summary

AIbubu is a desktop pet app that tracks AI coding tool activity like Cursor and Claude Code, converting it into animated pet movements, steps, stats, customizable skins, and optional LAN multiplayer leaderboards.

How It Works

1
🔍 Discover AIbubu

You hear about a fun desktop pet that turns your coding with AI helpers into steps and movement.

2
📥 Download and install

Grab the app for your computer from the website and set it up with a quick install.

3
🚀 Launch your pet

Open the app and see your cute pixel pet appear on your screen, ready to join your work.

4
🏃 Pet moves with your coding

As you use AI coding tools, watch your pet walk, run, or sprint based on your activity—feels motivating!

5
👆 Interact and check stats

Click your pet for hearts, poke for fun reactions, and peek at daily steps and insights.

6
Customize your pet
🎨
Change skins

Switch pets or add custom ones for variety.

👥
Join teammates

Turn on team mode to see friends' pets racing alongside yours.

🏆 Fun coding companion

Your desk now has a lively buddy that cheers your progress and sparks friendly races with coworkers!

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Star Growth

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AI-Generated Review

What is ai-bubu?

ai-bubu is a Tauri + Vue 3 desktop pet that passively tracks AI coding tools like Cursor, Claude Code, Codex, and Trae, converting activity into steps so your pet evolves from idle to sprinting. It solves motivation dips in AI-assisted coding by visualizing flow states via movement, moods, and daily insights. Cross-platform on macOS, Windows, Linux – download desktop GitHub releases for AppImage, deb, dmg, or msi.

Why is it gaining traction?

Zero setup: reads local SQLite/JSONL logs or processes without hooks or config tweaks. LAN social auto-discovers teammates for leaderboards and escorting mini-pets, no accounts needed. Custom skins (sprites, Lottie) import via ZIP/folder, plus extensible providers via TOML – a desktop pet engine blending gamification with real metrics like heatmaps and streaks.

Who should use this?

Cursor/Claude Code users grinding AI sessions who need fun nudges beyond desktop GitHub Copilot. Remote dev teams for casual step races via desktop GitHub Linux/macOS/Ubuntu clients. Anyone building custom providers for tools like Trae, seeking a lightweight desktop pet engine.

Verdict

Try it for AI coding motivation – polished UI, bilingual docs, and MIT license shine despite 11 stars and 1.0% credibility signaling prototype maturity. Solid for solo/team play, but extend providers yourself until adoption grows.

(198 words)

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