i5 World-Runtime is a system designed for modeling, simulating, and orchestrating complex environments using explicit world state, append-only events, and deterministic replay.
World-Runtime by INDUSTRY 5 is a specialized system designed to model and manage high-stakes, complex environments.
World-Runtime provides a repo-native and agent-runnable architecture, allowing both human operators and AI agents to function with total transparency and no hidden context. The platform ensures deterministic decision-making by utilizing an append-only event history and a world graph to reconstruct states with absolute evidence.
Key components include a Simulation Engine for testing “what-if” scenarios in isolation and a Policy Engine that enforces strict operational guardrails. A dedicated Reasoning Layer incorporates large language models (LLMs) to assist with state interpretation and proposal generation while remaining subject to governed approval boundaries.
CORE CONCEPTS
The core concepts and engines that drive the system include:
- World Graph: This handles the management of entities, their relationships, and the projected state of the environment.
- Event Engine: This maintains an append-only event history, ensuring a reliable record of all changes.
- Projection Engine: This engine is responsible for the deterministic rebuilding of state from the recorded event history.
- Policy Engine: This provides explicit guardrails and approval boundaries to govern decisions within the system.
- Simulation Engine: This allows for the creation of isolated “what-if” scenario branches, enabling simulation before any action is taken in the real environment.
- Reasoning Layer: This layer provides LLM-assisted interpretation and the generation of proposals.
- App Server: This serves as the stable runtime surface for various tools and clients to interact with the system.
These components work together to support systems where consequences cascade and decisions require clear evidence and governance.
World-Runtime offers a stable foundation for building safety-constrained, autonomous systems.