Gameland platform integrates modular agent architecture and the AI Prompt Roblox platform, allowing users to easily create, publish, and play games, thereby collectively creating smarter and more dynamic gaming experiences. Through its modular agent architecture, Gameland brings significant advantages to game AI development, including data sharing, flexibility, reusability, emergent behavior, and simplified debugging.
Quick Agent Creation & Open Source
- Easily create and share AI agents.
- Open-source model boosts knowledge sharing and agent development.
- Reduces training costs.
Agent Marketplace
- Trade and monetize agents in a dynamic marketplace.
- Fosters a thriving AI ecosystem.
CrewAI-Based Multi-Agent System
- Decomposes complex projects into smaller tasks.
- Matches agents to tasks based on skills.
- Enhances agent collaboration and knowledge sharing.
Multi-agent Sandbox simulation
What problem we try to solve?
- Without an effective rights protection mechanism, models may be used or plagiarized without authorization, making creators unable to legitimately enjoy the benefits of their labor.
- Open-source model contributors may not receive sufficient economic returns, lacking sustainable income support, which affects their continuous contributions and innovation.