Long-Term Memory Stability
Objects and landmarks remain consistent even after leaving and returning to view. LingBot-World maintains spatial coherence for extended exploration sessions without memory degradation.
LingBot-World is an open-source world model that creates interactive virtual environments. Explore AI-generated worlds with WASD controls, long-term memory, and minute-level content generation.
Navigate through AI-generated worlds using keyboard controls. Every scene is generated in real-time as you explore.
Interactive LingBot-World Demo
Launch Official DemoBuilt for developers, researchers, and creators who need a powerful, open-source world model with production-ready features.
Objects and landmarks remain consistent even after leaving and returning to view. LingBot-World maintains spatial coherence for extended exploration sessions without memory degradation.
From photorealistic environments to stylized game aesthetics, LingBot-World adapts to diverse visual styles. Trained on real videos, game footage, and UE synthetic scenes.
Control exploration with WASD keys or let the built-in AI agent navigate autonomously. The action system supports continuous intent, not just frame-by-frame movement.
Achieve 16 frames per second with sub-second latency. LingBot-World generates content as you explore, enabling truly interactive world simulation.
Simulates real-world physics and spatial relationships. Cars continue moving off-screen, distances scale correctly, and objects interact naturally.
Unlike closed alternatives, LingBot-World is completely open-source. Deploy, modify, and build upon the model freely for research or production use.
Choose the right LingBot-World model for your use case, from camera control to real-time interaction.
Camera Pose Control Version
Action Control Version
Low-Latency Version
See how LingBot-World compares to Google Genie 3 and other world models in the market.
| Feature | LingBot-World | Genie 3 | Odyssey |
|---|---|---|---|
| Open Source | |||
| Public API Access | |||
| Generation Length | 10+ minutes | ~1 minute | ~1 minute |
| Long-Term Memory | |||
| Real-Time Interaction | 16 FPS, <1s latency | Real-time capable | Limited |
| Style Variety | Realistic + Stylized | Primarily Realistic | Realistic |
| Self-Deployment |
From game development to robotics training, LingBot-World enables a wide range of applications.
Rapidly prototype game environments and validate gameplay concepts. Generate demo levels from concept art without writing code, dramatically reducing iteration time for AAA development.
Create high-fidelity simulation environments for training robots and autonomous agents. LingBot-World provides physics-aware worlds for safe, low-cost experimentation.
Build choose-your-own-adventure experiences where environments respond to viewer choices. Create infinite, personalized content for entertainment and education.
Generate diverse virtual environments for QA testing at scale. Test physics interactions, collision detection, and edge cases without manual level building.
LingBot-World is an open-source AI world model developed by Lingbo Technology, a subsidiary of Ant Group. It generates interactive 3D virtual environments in real-time based on text prompts or reference images. Unlike traditional video generation models, LingBot-World creates explorable worlds with consistent physics and long-term memory, allowing users to navigate freely using keyboard controls.
LingBot-World achieves comparable quality to Google Genie 3 in multiple benchmarks, with some advantages in high-dynamic environments. The key difference is accessibility: while Genie 3 remains closed-source with limited API access, LingBot-World is fully open-source and deployable. Additionally, LingBot-World has demonstrated 10-minute generation capabilities, compared to Genie 3's publicly shown 1-minute demos.
LingBot-World has approximately 28 billion parameters with inference running at around 14 billion parameters. For optimal performance, high-end GPUs with substantial VRAM are recommended. Cloud deployment is a practical option for most users. Specific requirements depend on the model version (Base vs Fast) and desired resolution (480P or 720P).
LingBot-World is released as open source, making it available for research, development, and commercial applications. Please refer to the official GitHub repository for the specific license terms and any usage restrictions. The open-source nature allows developers to integrate LingBot-World into their products and modify it for specific use cases.
Video generation models like Sora create pre-rendered content that plays back linearly—you're a passive viewer. World models like LingBot-World generate content in real-time based on your input. When you press W to move forward, the world extends in that direction. Objects maintain consistency: a chair won't randomly become a box when you look away and back. This makes world models true interactive simulators rather than pre-recorded experiences.
To get started with LingBot-World, visit the official GitHub repository where you can download the model weights and access documentation. The Base (Cam) version is currently available, with Action and Fast versions coming soon. You'll need to set up a Python environment and have access to suitable GPU hardware or cloud computing resources for deployment.
Join the open-source community and start creating interactive AI-generated worlds today. Deploy LingBot-World for your game, simulation, or research project.