RCT-7 Mental OS
The 7th Genome — the Mental OS and self-evolution engine running the 7-state IntentLoop, connecting G7 back to G1 for perpetual improvement.
What is the Mental OS?
The Mental OS is the meta-orchestration engine of the RCT Ecosystem — not an AI model itself, but the operating system that manages the complete lifecycle of every AI task, from input reception to self-improvement.
Inspired by neuroscience theories of executive function — the brain's ability to plan, execute, and monitor long-horizon behavior. RCT-7 applies this pattern to AI orchestration.
What makes RCT-7 unique is the ADAPT state — the final loop where the Mental OS writes performance learnings back to G1 (Architect's Genome), making the system smarter after every task.
The 7-State IntentLoop
Every task flows through all 7 states in sequence — ADAPT loops back to IDLE, creating a continuous cycle.
Quiescent state — the system monitors for incoming signals, maintains heartbeat checks, and pre-warms model caches for low-latency response.
Input ingestion — accepts multimodal input (text, voice, image, file, API call), validates schema, assigns session ID, and timestamps the event.
Intent decomposition via the FDIA equation — F=(D^I)×A. Extracts goal, entities, constraints, and priority. Creates a structured IntentObject for downstream routing.
JITNA selects the optimal model from the HexaCore 7-model roster, chooses the algorithm tier, selects the voting method, and builds the execution plan.
Parallel or sequential model invocation. All selected models process the IntentObject independently. Outputs are collected, hashed, and prepared for attestation.
SignedAI Attestation — each output scored across 8 dimensions, consensus method applied (MAJORITY/WEIGHTED/RANKED/UNANIMOUS). Result cryptographically signed with ED25519.
Self-evolution loop — performance deltas written back to RCTDB 7D (Delta dimension), routing weights updated, Architect's Genome (G1) receives improvement signals.