agi-autonomous-controller

An autonomous AI system achieves self-healing and self-optimizing through a controller that orchestrates perception, deliberation, and action phases. It automatically detects issues, resolves stopped containers, and tunes performance using defined probes.

Constitutional governance for autonomous AI ensures all self-managing actions are validated against defined principles. This guarantees that self-healing and self-protecting operations maintain operational integrity and adhere to core directives without human oversight.

Automate recovery by initiating an autonomous cycle through an AGI controller. It detects high resource usage or failed services, clears temporary files, restarts containers, and switches to backup AI models while logging all actions.

Yes, an autonomous controller can switch to a backup AI model automatically. As part of its self-optimizing function, it selects appropriate AI models for efficiency and switches if the primary one becomes unresponsive.

No, the autonomous controller operates without external dependencies. It relies on internal judgment mechanisms and constitutional principles to perform self-healing, self-optimizing, and self-protecting functions with robust error handling.