CORTEX-Persist Dogfooding Agent Architecture
Reality Level: C5-REAL
Version: 0.1.0
Design System: Industrial Noir 2026
01. Conceptual Foundation
The DogfoodingAgent is a recursive, self-reflective agentic loop. Instead of auditing external systems, it applies CORTEX-Persist telemetry rules to the parent SDK codebase and ledger states.
┌──────────────────────────────────────────────────────────┐
│ DogfoodingAgent │
└────────────┬───────────────────────────────┬─────────────┘
│ │
▼ ▼
[runDiagnostic()] [injectFriction()]
│ │
▼ ▼
CortexLedger.verify() CortexEngine.processConcept()
│ │
▼ ▼
Ledger Write (AOF) Entropy Calculation
02. Core Capabilities
A. Recursive Diagnostics (runDiagnostic)
The agent scans designated source code nodes and executes cryptographic chain validation.
- Calls
ledger.verify()to trace hash linkages (prev_hash) and Ed25519 signatures. - Computes a normalized
healthScore(penalized heavily if chain breaches or signature failures are detected). - Records the diagnostic output as a signed entry directly back into the ledger using
cortexWrap, creating an immutable audit trail of the agent’s own verification cycles.
B. Cognitive Friction Injection (injectFriction)
To test self-alignment, the agent pushes high-dimensional semantic vectors representing orthodox, radical, and nihilist stances onto the DOGFOODING concept node:
- Orthodox Stance:
[1, 0, 0.5, 0, -0.2] - Radical Stance:
[-1, 0, -0.5, 0.9, 0.8] - Nihilist Stance:
[0, 0, -1, -1, 1]
The underlying CortexEngine recalculates Shannon entropy to identify active semantic attractors.
03. CLI Deployment
To run a self-audit diagnostic in production:
npm run dogfood
This invokes the CLI wrapper script (scripts/cortex_dogfooding.js), outputting diagnostic state and recalculating semantic friction vectors in real-time.