Applications · Example application
AgentHub
AI agent administration, prompt generation & forensic run history
About this example
AgentHub: an example of what's possible on the Kinetic Platform
AgentHub is one of 48+ working applications in Kinetic AI Labs — a portfolio of example apps built on the Kinetic Platform to show how quickly real, production-grade software can be assembled when the platform handles workflow execution, data, identity, and integrations. These applications are not commercial products. They are reference implementations: live demonstrations of applications use cases that customers and partners can study, fork, or use as starting points for their own builds.
What this application does
A governance platform for AI agents that tracks agent definitions, service requests, execution runs, and individual run steps. Shows active agents with token usage limits, run outcomes, and trigger types. Provides complete observability into what AI agents are doing — what they were asked, how each step executed, and how much they cost. Built for organizations deploying AI agents that need auditability and operational control.
Application modules
Key capabilities
What AgentHub demonstrates about building on the Kinetic Platform.
Agent Registry
Define agents with types (AI or Human), operating schedules, and daily token limits.
Run Observability
Monitor execution runs with trigger type, outcome status, and step-level detail.
Token Governance
Track token usage per agent against configurable daily limits to control AI costs.
Request Tracking
Capture and route agent service requests with structured intake and audit trails.
Screenshots
See AgentHub in action
These screenshots are captured directly from the live AI Labs instance — every screen below renders against real workflows and data running on the Kinetic Platform.
Dashboard
Agents
Run History
Requests
Prompt Lab
What this example demonstrates
Why AgentHub matters as a reference implementation
AgentHub shows how a applications application can be built on a workflow orchestration layer instead of a custom-coded stack. The screens you see above are not mockups — they are full Kinetic forms, tables, dashboards, and views, wired into deterministic workflows that run the underlying business logic.
Because every example in AI Labs runs on the same Kinetic Platform instance, they share one workflow engine, one identity model, one integration layer, and one audit trail. That means the patterns proven in AgentHub — agent registry, run observability, and the rest of its capabilities — transfer directly into customer environments without re-platforming.
Built on Kinetic
Same platform, every application
AgentHub runs on the same Kinetic Platform instance as every other AI Labs example. Same workflow engine. Same security model. Same integration layer. AgentHub is a working illustration of how quickly a production-ready application can be built when the platform handles the hard parts — workflow execution, data management, role-based access, and audit trails.
Want to see AgentHub live?
Schedule a demo and we'll walk through AgentHub on the Kinetic Platform — or talk about adapting it (or building a new one) for your environment.