NotoyAI gives agent systems structured state, long-horizon operation, causal provenance and reproducible execution.
The runtime owns continuity and committed decisions. Language models can render expression without becoming the source of truth.
Most agent stacks are optimized around a task, a conversation or the next model call. Long-running systems need more: state that survives, memories with provenance, explicit goals and plans, and decisions that can be inspected and compared.
When an agent operates over days, months or a shared environment, the important questions are not only what happened? They are what did the agent know, what changed, why was this action selected, and can we reproduce it?
More prompting does not create continuity. The missing layer is the runtime around the model.
NotoyAI separates persistent cognition from probabilistic expression.
Direct Unreal PCG ingestion and marketplace-ready production packaging remain roadmap work.
Procedural Intelligence Generation is one application of the runtime: structured populations generated from a seed and executed against persistent world state.
In the current reference environment, that includes roles, households, relationship priors, lore, pressures, locations and runtime bindings. It is not a prompt that produces a character biography. It is machine-readable state that the runtime can execute and inspect.
PIG is the product path for generated worlds. The underlying persistent runtime is intended for agent systems beyond game NPCs.
NotoyAI preserves the run scope, configuration, environment, commands, manifests and hashes needed to inspect a result. Replay claims refer to canonical decision artifacts, not authored vignettes or generated dialogue.
Each run covers 8,760 ticks. Both same-seed replay pairs produce matching decision hashes. Expression is disabled in this evidence set.
These figures describe this evidence set only. They are not claims about unlimited scale, every runtime mode, all hardware or all future integrations.
The current research direction is machine-native persistent cognition: turning stored experience into decision-effective state without giving up inspection or reproducibility. The target chain is explicit.
Each stage must become a typed, testable object and survive replay, intervention and invariance checks before it is presented as a general capability. The repository contains implemented substrate and bounded evidence along this path. A complete general persistent cognitive system, broad transfer, metacognition and robust adaptive planning remain research targets.
The current evidence is strongest in long-running multi-agent simulation. The runtime contract itself is engine-agnostic. NotoyAI is being developed for:
Validation outside the current reference environments is ongoing.
NotoyAI is developed by Igikelts OÜ in Tallinn, Estonia.
Ruhnu Jooksik is the first reference environment: a historical Unreal Engine project used to expose failures in memory, continuity, social state and long-horizon simulation.
Ruhnu is where the runtime is exercised. It is not the definition of the company or the product.
Read the evidence, review the architecture, or contact us about a technical integration or research question.
We will reply from an @notoyai.com or @igikelts.com address.
NOTOYAI · Persistent runtime infrastructure for AI agents
These minds are not toys.
Developed by Igikelts OÜ · Tallinn, Estonia · © 2026 Igikelts OÜ