MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
This repository is notable for packaging the Minimax algorithm into a compact, browser-runnable Canvas game, making a classic AI concept easy to open, inspect, and modify.
Who it is for
- Web developers interested in AI algorithms
- Students learning Minimax or game AI basics
- Hobbyist game developers looking for a small Canvas game project
- Educators seeking a simple browser-based AI demo
Use cases
- Exploring how Minimax can be implemented in a browser game
- Teaching or demonstrating AI decision-making in web applications
- Serving as a starting template for a Canvas-based player-versus-AI game
- Quickly opening a playable AI opponent without a build toolchain
Strengths
- Runs in a web browser with no native installation required
- Uses HTML Canvas for the game interface
- Demonstrates Minimax-based AI move selection in a compact HTML script
- Open-source under GNU GPL v3.0, allowing review and modification
Considerations
- README provides no documented configuration options, exact game rules, or keyboard shortcuts
- No concrete browser version or performance compatibility details are given
- Gameplay details and AI behavior beyond Minimax move selection are not described in the available metadata
README quick start
Getting Started
Description
A browser-based Canvas game utility for 2026, built with HTML and designed for matches against an AI opponent whose moves are selected using the Minimax algorithm.
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