Wolfcha
🙏 Sponsors
Current sponsors:
- TokenDance - Powers the core game flow, roleplay, and summary features
- Dashscope - Provides AI capability support
- Watcha - Provides AI capability and showcase platform support
Note: This project was born at the "Watcha + ModelScope Global Hackathon" as an AI-native game.
"Wolfcha" combines Wolf (Werewolf) + Cha (猹, a character from Chinese literature). It's a nod to the hackathon host while also capturing the fun of watching AI characters interact — like spectating a show.
📖 Background
After graduating, getting 8-12 people together for a proper Werewolf game became nearly impossible. While Werewolf is fundamentally a social game, its core appeal — logical deduction, verbal sparring, and reading between the lines — remains captivating even without the social element.
To enjoy Werewolf anytime, anywhere, we built this AI-powered version. As the name suggests, every player except you (Seer, Witch, Hunter, Guard, Werewolves, etc.) is controlled by AI.
✨ Core Features
1. Dual-Layer AI Roleplay
Thanks to the growing context windows and instruction-following capabilities of large language models (LLMs), we've implemented a sophisticated dual-layer roleplay system:
- Layer 1: The AI plays a "virtual player" with a unique personality and background.
- Layer 2: This virtual player then takes on a Werewolf role (e.g., Seer) and speaks, bluffs, and reasons based on the game state.
Every conversation is generated in real-time, full of unpredictability and fun.
2. AI Opponents That Actually Play
This is Werewolf you can play alone, with a full table of AI players.
Each AI player has a stable personality, role perspective, memory, and faction goal. They follow speeches, vote history, deaths, and pressure at the table, then decide whether to accuse, defend, bluff, follow, or hold back.
3. Immersive Retro Experience
While we don't have a professional art team, we've crafted a polished UI/UX:
- Retro Design Style: Clean layouts with vintage color palettes.
- Dynamic Interactions:
- Eye-blink transitions for day/night changes.
- Character lip-sync animations during speech.
- Unique character portraits for special roles during night actions.
🧭 Roadmap
We're continuing to improve:
- Mobile Optimization: Play seamlessly on any device.
- Flexible Player Count: Support 8-12 player custom games.
- Post-Game Review / Chat: Reflect on strategies and memorable moments.
- Special Abilities: Unique mechanics like time rewind and AI insight.
- Smarter AI Players: Richer memory, stronger bluffing, and more varied table behavior.
- Multiplayer Mode: Play with friends alongside AI characters.
- Character Ratings: Upvote standout AI personalities to find the most convincing Werewolf players.
🛠️ Tech Stack
Built with modern web technologies:
- Framework: Next.js 16 (App Router)
- Language: TypeScript
- Styling: Tailwind CSS 4
- UI Components: Radix UI, Lucide React
- State Management: Jotai
- Editor: Tiptap (For rich text interactions)
- Animations: Framer Motion
- Avatar Generation: DiceBear (Notionists style)
- AI Integration: TokenDance (Unified interface for LLMs)
🚀 Local Development
To run this project locally:
- Clone the repository
git clone https://github.com/oil-oil/wolfcha.git
cd wolfcha
- Install dependencies
# Using pnpm (recommended)
pnpm install
# Or using npm
npm install
- Configure environment variables
You'll need to set up API keys (TokenDance, etc.) for full functionality. Refer to .env.example and create your .env.local.
- Start the development server
pnpm dev
Open http://localhost:3000 in your browser.
📄 License
MIT