Results for “robot-policy”

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Provides a local-first agent framework for observable execution, composable tool use, and multi-agent orchestration with policy-guarded execution.

Defines a conceptual standard for autonomous agents, covering cognitive architecture, sensory integration, and tool-use protocols.

Designs and reviews feedback loops for AI agents to ensure goals are machine-decidable, loops are damped, and human judgment is preserved.

Provides principles and tactical rules for multi-agent collaboration, task scoping, and file race prevention in swarm execution.