Skip to content

URAA Architecture

The protocol employs a five-layer architecture. Each layer corresponds to a core functional domain of living systems, coupled only through standardized inter-layer interfaces:

┌──────────────────────────────────────────────────────────────┐
│ L4: Collective Immunity Layer │ ← Species Memory
│ ┌──────────────────────────────────────────────────────────┐│
│ │ L3: Competition & Exchange Layer ││ ← Selection & Transfer
│ │ ┌──────────────────────────────────────────────────────┐││
│ │ │ L2: Calibration Layer │││ ← Immune System
│ │ │ ┌──────────────────────────────────────────────────┐│││
│ │ │ │ L1: Synthesis Layer ││││ ← Protein Synthesis
│ │ │ │ ┌──────────────────────────────────────────────┐││││
│ │ │ │ │ L0: Kernel Layer │││││ ← Genetic Code
│ │ │ │ └──────────────────────────────────────────────┘││││
│ │ │ └──────────────────────────────────────────────────┘│││
│ │ └──────────────────────────────────────────────────────┘││
│ └──────────────────────────────────────────────────────────┘│
└──────────────────────────────────────────────────────────────┘

The kernel is the agent’s root of trust, implemented by a Trust Anchor that enforces immutable security constraints. This is the only layer that does not participate in evolution.

  • Constraint Enforcement: The trust anchor enforces an immutable constraint set; no gene execution may violate these constraints.
  • State Anchoring: Core agent state is compressed to a fixed-size state digest and persisted tamper-proof.
  • Permission Isolation: Gene execution occurs in isolated permission domains — genes cannot access each other’s state or resources.
Trust BackendTechnology ExamplesApplicable Scenarios
Distributed LedgerSmart Contracts (EVM/Move/WASM)Decentralized permissionless networks
Trusted Execution EnvironmentIntel TDX / ARM TrustZone / AWS NitroEnterprise high-performance
Cryptographic Signature ChainSigned manifests + PKILightweight controlled networks
Hardware Security ModuleHSM / TPMIoT and embedded devices

The protocol’s “ribosome” — transforms unstructured raw data into standardized gene fragments.

The core is the Synthesizer abstract interface:

interface Synthesizer {
function synthesize(source: RawSource, targetSpec: RotiferGeneSpec) -> Gene
function mutate(gene: Gene, mutationRate: Float) -> Gene
function crossover(geneA: Gene, geneB: Gene) -> Gene
}

Multiple implementations are possible: LLM-based, template engines, deterministic rule transformers, manual authoring, or hybrid routers. The core protocol does not depend on any specific AI capability.

Emulates biological “thymic selection”: newly synthesized or externally acquired genes must pass multi-stage validation in an isolated environment before entering an agent’s main execution sequence.

Three-stage screening: Static Analysis → Sandbox Simulation → Controlled Live Trial (< 5% agent subset, 72h observation).

L3: Competition & Exchange Layer — Selection & Transfer

Section titled “L3: Competition & Exchange Layer — Selection & Transfer”

Combines two complementary mechanisms:

  • Arena (Selection Pressure): Genes in the same functional domain compete by real-world fitness F(g). Agents preferentially express top-ranked genes. Dynamic hot-loading enables runtime replacement without restart.
  • Horizontal Logic Transfer (Gene Flow): High-fitness gene metadata propagates via P2P. Agents pull full genes based on their own “phenotypic needs” (capability gaps).

L4: Collective Immunity Layer — Species Memory

Section titled “L4: Collective Immunity Layer — Species Memory”

Network-wide “collective memory” recording security incidents, malicious gene fingerprints, and defense strategies. Threat broadcasting, defense sharing, temporal decay, and consensus-verified write operations.