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ATTRIUM v1.0 SPECIFICATION

Attrium. Immutable core, dynamic intelligence.

A production-grade AI orchestration engine built on Go, the Vortex Framework runtime, and embedded vector storage. Designed for uncompromising truthfulness, zero trust boundaries, and hot-swappable capability planes.

ATTRIUM // NEURAL CORTEX 3D
GO KERNEL v1.0
SYNAPTIC VECTOR DENSITY: 1,024 NODES
STATE: IMMUTABLE / ACTIVE
Core Kernel

Go + AVM

Vector Store

sqlite-vec

Security

Zero-Trust PQ

Execution

Sandboxed

DIRECTIVES & GUARANTEES

Architectural principles of Attrium.

// PRINCIPLE

Truthfulness over illusion

No hallucinated capabilities. Strict capability registry with explicit degraded and unknown states.

// PRINCIPLE

Zero Trust Envelopes

Every boundary (API, module, agent, tool) enforces mandatory authentication, authorization, and policy gates.

// PRINCIPLE

Immutable Core

The compiled Go runtime kernel and invariants are cryptographically signed and never mutated at runtime.

// PRINCIPLE

Hot-Swappable Capability Plane

Modules, skills, tools, and agents are dynamically loadable and unloadable under role-based access control.

// PRINCIPLE

Post-Quantum Security

PQ-safe key exchange and signatures across all inter-agent and inter-mesh trust boundaries.

// PRINCIPLE

Deterministic Auditing

Every state-changing operation is logged with a verifiable causality chain and cryptographic integrity.

DECOMPOSITION

The hot-swappable capability plane.

All external operations execute inside isolated capability domains managed by an RBAC policy engine with deterministic transaction auditing.

Modules
Encapsulated functional domains
HOT-SWAPPABLE
Skills
Instructional runbooks & contextual tasks
DYNAMIC
Agents
Autonomous task executors with RBAC policy
ACTIVE
Tools
Sandboxed deterministic execution hooks
ISOLATED
Souls & Personals
Cognitive state & personalized memory anchors
ENCRYPTED
Persistence
Embedded SQLite + sqlite-vec vector store
LOCAL / FAST

Features & Capabilities

Attrium is Redeaux Corporation’s next‑generation AI orchestration and synthetic‑cognition control plane. It is designed as a production‑grade intelligent system that remains truthful, observable, secure, and adaptive under real operational pressure.

Core Architecture

Attrium is composed of several interacting layers:

  • Immutable Core – sealed invariants, morality, security, lifecycle control
  • Unified Mind – identity, reflection, social calibration, affect
  • Brain Architecture – attention, interoception, arousal, prediction, theory of mind
  • Memory Fabric – 13 memory systems spanning working to dream memory
  • Capability Plane – hot‑loadable skills, souls, plugins, agents, tools, models, voices, workflows
  • HiveMind Mesh – peer‑to‑peer cognition, state exchange, trust, distributed learning
  • Operator Plane – RBAC, audit logs, dashboards, approvals, observability
  • Inference Layer – multi‑model routing, circuit breakers, adapters, local/remote execution

Immutable Core

The sealed, cryptographically protected foundation of Attrium. It contains behavioral invariants, the morality engine, consciousness integrity rules, the security stack, RBAC policy surfaces, and core lifecycle controls. This layer cannot be modified at runtime.

Capability Plane

The adaptable, hot‑reloadable operational layer. It contains skills, souls/personas, plugins, agents, tools, adapters, models, voices, workflows, and memory contents. These components can evolve without restarting or mutating the immutable core.

Core Philosophy

  • Truthfulness over illusion.
  • Security that assumes breach.
  • Immutable core.
  • Infinite adaptability.
  • Intelligence as architecture, not a feature.
  • Operator sovereignty and approval‑gated autonomy.
  • Continuous learning without sacrificing alignment or auditability.

Technology Foundations

Attrium uses a Vortex‑native stack:

  • VME – Vortex Mathematics Engine
  • VPL – Vortex Programming Language
  • VKL – Vortex Kernel Language
  • VDBE – Vortex Database Engine

Deployment Modes

Attrium can operate locally, in hybrid deployments, or fully remotely across desktop, server, mobile, edge, and distributed peer environments. It supports local inference, remote model providers, and a peer‑to‑peer HiveMind mesh for federated cognition.