Agent Memory Loop
Stores durable, scoped, reversible memory: preferences, cadence, prior approvals, recurring patterns, and stale-memory corrections.
61R-L · AUTONOMOUS OS LOOP ASSIMILATION MAP
Assimilate existing learning loops, autonomous action routes, permission gates, scenario runners, memory routes, and flexible categories into one autonomous operating system loop without deleting or flattening specialized subloops.
CORE LOOP
Primary autonomous OS loop. It plays scenarios to completion, evaluates hidden consequences, returns completed recommendations, and learns from approved/rejected/gold-star/archive/rewind outcomes.
SUBLOOPS
Stores durable, scoped, reversible memory: preferences, cadence, prior approvals, recurring patterns, and stale-memory corrections.
Scores actions after completion: did it work, did the user approve, was cost/risk correct, did hidden fees appear, should this pattern improve?
Improves TheoB behavior and structure after scored outcomes, while requiring rollback paths and preventing blind mutation.
Stops only at money, signatures, binding forms, credentials, identity disclosure, production deploys, irreversible mutation, or scoped external operator permission.
Handles scoped calls, messages, negotiation prep, real-world legwork, and findings receipts before final user commitment.
Covers sketches, video, audio, app creation, deep research, design, CAD, architectural renderings, and other performable outputs before gates.
Promotes exceptional outputs into reusable standards for style, category, function, design, code, research, or operator behavior.
Pauses, diverts, or archives routes/actions that are not working, not now, or blocking higher-priority parallel processes. Nothing is deleted.
Studies hidden traps, hostile pages, phishing, misleading offers, spam, hidden fees, and adversarial patterns in isolated/read-only mode.
Higher-level coordination loop that connects Watch, scenarios, memory, action, prediction, proof, and user-context into one operating system.
CONTRADICTION RESOLUTION
Older approval gates may imply human process micromanagement.
Retain them only as commitment gates. Process work belongs to AI before asking the user.
Multiple learning loops may compete.
Do not delete. Assign each loop a specialized role and feed outputs into the core Scenario Runner + Completed Action History Loop.
Adaptive evolution may mutate too broadly.
Evolution only follows scored outcomes, rollback paths, and category receipts.
Archive/divert may be mistaken for deletion.
Archive/divert is pause/reroute only. Routes remain reopenable and visible in Full System.
FLEXIBLE CATEGORY CONTROLS