EVAA Cognition

EVAA Cognition Engine

EVAA is the local cognition engine of the Umbra-Noesis stack — the layer that runs your AI, manages context, fuses memory, and orchestrates tools directly on your device. It’s where your system stops being “a computer” and becomes an active thinking partner.

Protocol-aware cognition Local-first, model-agnostic Built for Umbra-Noesis stack

What is EVAA Cognition?

EVAA Cognition is the resident on-device AI engine for the Umbra-Noesis ecosystem. It provides the structured reasoning, context fusion, memory retrieval, and orchestration that power your local models and tools.

Structured, protocol-driven cognition using AACP / HACEP.
Local-first model execution and decision-making.
Predictable, transparent behavior across all supported devices.

Role inside the ecosystem

EVAA is the structured cognition layer of Umbra-Noesis. Wherever the ecosystem runs — from individual user systems to multi-device local networks and PCe hardware — EVAA provides a consistent, reliable, and predictable reasoning engine across all environments.

Founders / Lab

Testing ground for new models, advanced memory engines, protocol updates, and cognition research.

Field / Mobile

Local-first cognition for boats, trucks, field rigs, mobile systems, and remote deployments.

Client / EVAA Systems

Turnkey cognition layer for licensed systems built on the Umbra-Noesis reference architecture.

EVAA Roadmap (High Level)

EVAA Core — the resident cognition engine for all Umbra-Noesis systems.
Cognition Blueprints — documented structures for memory, routing, and tool orchestration.
EVAA Modules — future extensions for distributed cognition, multi-node processing, and domain-specific cognitive packs.

Integration Points

EVAA is designed to integrate with:

UmbraOS / Bridge-OS as the platform environment.
PCe Systems as the resident hardware base.
AACP Protocol as the communication and cognition structure.
E.V.E. Systems and training stacks as optional interfaces.

This page is an early structural skeleton. Final documentation, modules, and licensing paths will be defined as the ecosystem moves into public-ready status.