Agent Registry

One inventory for every agent. Know what you have before you govern it.

Prefactor's Agent Registry gives you a single source of truth for every AI agent in your organisation — who owns it, what framework it uses, what tools it can access, and whether it's governed. No more shadow agents, no more spreadsheet inventories.

How it works

TODO: Describe the registration flow — manual registration via dashboard, API-based registration from CI/CD, and discovery-based detection of unregistered agents. Include screenshots of the registry dashboard.

What the registry tracks

TODO: Detail the metadata schema — agent identity, owner, team, model provider, framework, tools, permissions, deployment environment, lifecycle status, risk score, last activity. Show a sample agent record.

Integration with your stack

TODO: Describe how the registry integrates with existing tools — CI/CD pipelines (GitHub Actions, GitLab CI), identity providers (Okta, Azure AD), and observability platforms. Mention SDK and API availability.

From registry to governance

The registry is the foundation for every other Prefactor capability. Runtime policies reference the registry to determine which rules apply to which agents. Cost attribution uses registry metadata to allocate spend to teams. Audit trails link every action back to the registered agent that performed it. Without the registry, governance is guesswork.

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See It In Action

A single control plane for every agent across every framework. From mission control to audit trails.

Agent Runtime Control Plane
Unified control center for agents, authentication, and risk management
All Systems Operational
3Global Agents
7Instances
5Services
12%Human Intervene
4High Risk
$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
Claims Proc...65
$160/moRed
Claims Proc...82
$170/moAmber
ChatGPT74
$150/moAmber