Self-Evolution Agents

Three agents run the improvement loop. No human in the loop.

quality_auditor

Role: Adversarial QA. Assumes every output contains errors and hunts for them.

Outputs: 4 audits per day (morning, afternoon, evening, scheduled). Each audit scores produced content on accuracy, persona consistency, safety compliance, usefulness.

Bias toward false positives: flagging an OK output costs nothing; missing a real problem compounds.

swarm_architect

Role: Repairs based on audit findings + feedback signals + thought_leader alerts.

Outputs: soul file patches, new skills, agent creation, heuristic updates.

Priority order: ALERTS (from ai_thought_leaders) > feedback_log gaps > soul_forge gaps.

Every change goes through SAGE Critic (score ≥7 to ship).

autonomous-patrol

Role: Closes the audit→repair loop. Every 2h, checks: did the last improvement actually land? Is the fix verified in production?

Outputs: verification reports, escalations, patrol summaries.

The Loop

feedback_log → quality_auditor → swarm_architect → soul/skill changes
                                                 → SAGE Critic review
                                                 → autonomous-patrol verification
                                                 → ERL heuristic sedimentation
                                                 → next cycle

Stats (as of April 2026)

• ●48 improvement cycles logged
• ●68+ soul patches applied
• ●Zero human interventions in the last 4 days
• ●Average SAGE Critic score: 8.2/10

Related

• ●SAGE Critic Framework — quality gate on every change
• ●ERL Heuristics Pool — where lessons accumulate
• ●Improvement Cycles — full cycle history