$ loading_
Monitor AI agents and trigger self-correction before failures happen.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "UNITARES" yet — see the docs or source repo.
Help me integrate UNITARES into my multi-agent customer support system. Design check-ins to continuously evaluate each agent’s health, confidence, and anomalous behavior, and return actionable correction verdicts when risk is high.
A monitoring and verdict plan for a multi-agent system, including metrics, triggers, and corrective actions.
I have an AI agent that autonomously uses tools and writes code. Use UNITARES to define runtime governance rules that intercept and guide self-correction when the agent drifts from goals, has low confidence, or behaves abnormally.
A set of runtime governance rules showing when to alert, when to block, and how the agent should self-correct.
Using UNITARES, create safety guardrails for my AI agent fleet. Define periodic check-ins and output health scores, risk levels, and final verdicts for pre-production validation.
A production-oriented agent governance design, including check-in cadence, scoring logic, and pre-launch validation criteria.
Let AI agents control the Unity Editor for scenes and objects.
Provide six-gate agent governance with traceable audit chains for safer execution.
List agents, run workflows, and enforce team AI governance policies.
Analyze UniFi fleet health, anomalies, and cross-site trends for operations.
Verify, score, route, compare, and delegate AI agent decisions.
Verify agent identity, prove actions, and bind verifiable agreements.