Inworld AI
A framework for building real-time AI agents optimized for low latency and massive scale.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Inworld AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Inworld AI offers a comprehensive framework for creating real-time AI agents, enabling developers to build agentic experiences with client-side logic and local model inference. The platform is optimized for real-time data ingestion, low latency, and scalability, making it suitable for applications in gaming, entertainment, and other interactive media. Inworld AI integrates various AI components, tools, and infrastructure to assist developers in crafting dynamic and immersive experiences.
Key features
- AI framework
- real-time interaction
- virtual environments
- game development
- media engagement
Use cases
- Developers aiming to create interactive AI-driven characters in games.
- Media creators seeking to enhance audience engagement with real-time agentic experiences.
- Organizations looking to implement scalable AI solutions in virtual environments.