design

awesome-android-ai-dev-sources: AI Dev Resources

Name: awesome-android-ai-dev-sources: AI Dev Resources
Author: Gracker

Get curated AI dev sources for Android. 1.9k+ GitHub stars, for founders and developers.

1,910 stars+5★ this week269 forksPythonGuide quality 8/10 · reviewed Jul 5Updated 8/9/2026100% free · open source

What it does

The awesome-android-ai-dev-sources tool provides a curated list of AI development sources for Android, helping founders and developers find relevant resources.

When to use it

•When building an Android app with AI-powered features
•When researching AI development best practices for Android
•When looking for open-source Android AI projects to learn from or contribute to

Ready-to-paste prompt

Explore the repository's wiki page to find AI development sources for Android computer vision: https://github.com/Gracker/awesome-android-ai-dev-sources/wiki/Computer-Vision

Heads up: The repository is primarily in Chinese, so users may need to use translation tools or have Chinese language proficiency to fully utilize the resources and contribute to the project

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/awesome-android-ai-dev-sources && curl -fsSL https://workflowstacks.com/api/skills/awesome-android-ai-dev-sources/claude-skill -o ~/.claude/skills/awesome-android-ai-dev-sources/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How awesome-android-ai-dev-sources: AI Dev Resources works

Codeflow

Free to inspect

Awesome-android-ai-dev-sources: AI Dev Resources is a small Python project (~1.6k lines across 5 code files). Setup is light: small project — see the README for how to run it. Last commit 2 months ago, no license file, no tests found.

Size

Small codebase

~1.6k lines · 5 code files · 13 min skim

Setup

Light setup

Small project — see the README for how to run it.

Runs on

Python

No API keys detected

Python 96%Shell 4%

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

Feishu/Folder6 files

data/Data files2 files

aiw-daily-info/Folder1 files

READMENo tests foundThin docsNo CINo licenseUpdated 2 mo ago