autoresearch-system

Automated agent architecture audits validate routing, persona fidelity, and security compliance by simulating end-to-end workflows and scoring system performance to detect structural weaknesses.

A self-improvement loop for multi-agent systems is an automated diagnostic cycle that detects failures, diagnoses root causes, and applies targeted fixes to system configurations iteratively.

Implement automated self-correction by integrating the diagnostic loop with local scheduler databases and logging infrastructure to validate pipeline compliance and manage persistent states.

Yes, the self-healing agent loop requires sqlite3 as a dependency to facilitate persistent state management and execute iterative structural validation during the optimization process.

Run a self-regulating Karpathy loop nightly or after architectural updates to ensure persona switches, security gates, and knowledge pipelines remain continuously functional and validated.

Limitations include the strict dependency on local sqlite3 scheduler databases and existing logging infrastructure, requiring complex multi-agent environments with persistent states to function effectively.