Open Arsenal

Continuous Improvement for Air-Gapped AI Factories

Autonomous Loop is a self-hosted Continuous Improvement Operating System built for organizations creating secure, private, and continuously evolving AI factories. It provides the infrastructure needed to monitor, evaluate, govern, and improve AI applications throughout their lifecycle while keeping sensitive data, models, telemetry, and intelligence workflows under organizational control. Designed for air-gapped and regulated environments, Autonomous Loop enables enterprises to build AI systems that continuously learn from feedback and operational performance.

The platform creates a complete intelligence improvement cycle by combining AI observability, evaluation, governance, simulation, and automated improvement workflows. Autonomous Loop monitors AI applications and agents through detailed telemetry, agent execution tracing, performance metrics, and intelligence scorecards. It detects data drift, model degradation, and workflow failures while providing recommendations to improve prompts, retrieval systems, datasets, models, and deployments.

Autonomous Loop includes a Human Review Workbench and Policy Engine to ensure responsible AI operations with approval workflows, compliance controls, audit trails, and configurable organizational policies. Its Simulation Environment allows teams to test AI changes before production deployment using historical traffic replay, synthetic scenarios, model comparisons, and validation workflows.

Through Intelligence Version Control and Autonomous Improvement Agents, Autonomous Loop helps organizations manage the evolution of their AI systems over time. The platform tracks models, datasets, prompts, agents, policies, and deployments while enabling automated monitoring, testing, documentation, and improvement recommendations with human oversight. By combining continuous evaluation, governance, and self-improvement capabilities, Autonomous Loop provides the foundation for building secure, transparent, and continuously improving enterprise AI factories.

This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution. Attribution-free deployments require a Specification Branding License, with fees based on usage, scope, and deployment size.