- Getting started
- UiPath Conversational Agents
- UiPath Agents in Studio Web
- UiPath Coded agents
- Build with Coding Agents
Managing UiPath agents
Manage deployed agents from the Agents page in Automation Cloud, monitoring performance, testing behavior, and maintaining shared resources.
The Agents page in Automation Cloud serves as your centralized registry and observability hub for all UiPath agents. Use it to monitor performance, test conversational behavior, manage shared resources, and maintain visibility across your deployed ecosystem.
From a single location, you can:
- Monitor deployed agents and review performance metrics in real time.
- Test conversational agents before and after deployment.
- Investigate and resolve agent incidents or degraded health conditions.
- Access and deploy agent templates from the UiPath Marketplace.
- Manage Context Grounding indexes.
- Manage memory spaces and the memories agents learn from.
This centralized hub allows real-time monitoring of all agent runtimes, with alerts for errors, health score degradation, and poor runtime evaluation scores.
Terminology
- An Agent instance is a single deployed agent within a running business process, represented as a task in BPMN, being the live execution of an agent runtime that responds to specific triggers, queues, or other workflow conditions.
- Agent instance management represents the set of tasks related to monitoring, maintaining, improving, and terminating agents and agent jobs.
Key features
Here are the key features of the redesigned Agents page in Automation CloudTM:
- Real-time agent monitoring using BPMN workflows.
- Error handling and recovery through BPMN-defined events.
- Runtime agent coordination between agents and human operators.
- Merging and consensus handling via decision-making gateways.
- Performance analysis and optimization based on multiple metrics.
- Governance and compliance checks ensuring adherence to enterprise rules.
Overview
The Overview tab provides a high-level summary of your agent ecosystem, consolidating operational insights, performance indicators, and consumption analytics into one centralized view. It acts as a command center for understanding how agents are performing across your organization and how efficiently they are consuming resources.
Performance insights
The tab aggregates runtime data across all deployed agents to help you monitor performance trends and identify optimization opportunities. Key metrics include:
- Total jobs: Tracks the total number of completed agent executions, providing a measure of activity and adoption.
- Success rate: Measures the percentage of successful agent runs to help you evaluate reliability and detect recurring errors or instability in agent configurations.
- Average response time: Indicates how quickly your agents are able to complete tasks, letting you monitor latency and efficiency at scale.
- Agent unit consumption: Quantifies total unit usage across all agents, enabling better forecasting, budgeting, and resource allocation.
Monitoring and feedback analytics
The tab also surfaces consumption and feedback trends across your environment:
- Agent unit consumption reports identify the most active or costly agents, helping prioritize tuning or resource allocation.
- Feedback summaries highlight which agents receive the most user interactions or performance ratings—helping teams focus on improving user experience and impact.
Filter and time-based analysis
Administrators can analyze data across various dimensions, such as agent type, deployment state, or time range, to identify anomalies and evaluate trends over defined operational periods (for example, daily, weekly, or monthly views). These filters enable targeted analysis and streamline reporting.
- Manage your deployed agents and monitor their performance.
- Manage and monitor your early adopter agents.
Tabs on the Agents page
The following tabs are covered on dedicated pages:
- Managing deployed agents – Performance, health, and feedback metrics for your deployed agents.
- Managing draft agents – Unpublished or in-progress agents.
- Managing Context Grounding indexes – Status, health, and ingestion progress of your Context Grounding indexes.
- Managing feedback – Agent trace review and feedback capture.
- Managing guardrails – Guardrail activity across your deployed agents.
- Managing memory spaces (Preview) – Memory spaces and the memory items stored in them.