AI Labs · Applications
AgentHub
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.
Inside AgentHub Dashboard · Agents · Run History · Requests · Prompt Lab
- Who would use AgentHub
- Teams running AI agents in production who need to see what each agent was asked, what it did step by step, and how many tokens it used.
- What AgentHub usually replaces
- Logs spread across model providers and scripts, with no single history to review after something goes wrong.
What AgentHub does
AI agent administration, prompt generation & forensic run history.
- 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.
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Walk through AgentHub, then plan your own
AgentHub is an example with sample data, not a product we sell. In a free two-hour working session we open it, compare it with how your team does this work today, and give you a written plan for building your version on Kinetic.