Inworld
Empowering AI-driven experiences in games and media
Inworld is an AI framework designed for games and media, offering a production-ready framework for building AI agents with client-side logic and local model inference. It provides tools optimized for real-time data ingestion, low latency, and massive scale, enabling developers to create engaging and immersive experiences for users. Inworld allows for building custom AI agent pipelines, refining agent behavior and performance, and seamlessly transitioning from prototyping to production. With support for C++, Python, and game engines, Inworld aims to future-proof AI development by integrating 3rd-party components and foundational models to avoid vendor lock-in.
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Features
- Real-time data ingestion
- Optimized for user engagement
- Support for C++, Python, and game engines
- Integration of 3rd-party components
- Scalable deployments across platforms
Advantages
- Enhanced audience engagement
- Low latency for real-time interactions
- Massive scalability
- Customizable AI agent pipelines
- Future-proofed AI stack
Disadvantages
- Potential complexity in agent behavior refinement
- Dependency on client-side logic
- Learning curve for transitioning to production
Frequently Asked Questions
-
Q:What is Inworld?
A:Inworld is an AI framework for building real-time agentic experiences in games and media. -
Q:What programming languages does Inworld support?
A:Inworld supports C++ and Python, as well as integration with game engines. -
Q:How does Inworld handle real-time data ingestion?
A:Inworld dynamically ingests real-time game states and multimodal inputs to deliver responses with ultralow latency.
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