edgameclaw 0.1.7

Self-hosted AI studio: turn learning materials into playable browser mini-games

EdGameClaw

Turn learning materials into playable browser mini-games — self-hosted, OpenAI-compatible API, no account required.

Full documentation, demo video, screenshots, and bilingual (English / 中文) guide:
https://github.com/yh2072/edgameclaw#readme

Hosted product: ahafrog.com

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Install

Requires Python 3.10+ and Node.js 18+ (node on your PATH).

pip install edgameclaw

Create .env in the directory where you run the server (or export env vars):

API_KEY=sk-your-openai-compatible-key

Start the app:

uvicorn edgameclaw.server:app --host 127.0.0.1 --port 8000

Open http://127.0.0.1:8000 in your browser.

A small bundled Node service (for playing games) starts on port 3100 when that port is free. Set EDGAMECLAW_ENGINE_STATE_AUTO=0 if you run it yourself.

From source: git clone https://github.com/yh2072/edgameclaw → pip install -e . → see GitHub README for start.sh and .env.example.

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Configuration (common)

Variable	Notes
API_KEY	Required for generation (or paste in Studio UI only — browser-local).
API_BASE_URL	Default: OpenRouter.
MODEL	Default: google/gemini-3-flash-preview.
EDGAMECLAW_HOME	Optional: where to store courses and data (default: current working directory when installed via pip).

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Links

• Source & full README: https://github.com/yh2072/edgameclaw
• License: AGPL-3.0 — see LICENSE-AGPL-3.0 in the repository
• Citation / author: see GitHub README