PLATFORM · REGISTRY
The lifecycle substrate underneath every artifact.
Registry is the system of record for every flow, agent, prompt, model, tool, and policy in your AgentAnywhere deployment. Versioned. Owned. Approved. Audited. Reversible. The operating model of the platform — not a separate dashboard you open when an auditor calls.
One registry. Every artifact.
Most enterprises building AI today have a half-built version of this — a wiki page that lists the prompts, a Confluence space that maps the flows, a folder structure that holds the models, a homegrown service that tracks the tools. Three teams maintain three views; none of them is current. When the auditor asks, the team scrambles.
Registry replaces all of it. Every artifact in the platform — flow definitions from Studio, code-authored agents from Lab, prompt templates, model registrations from Model Hub, custom tools, policy bindings — has a single registry record with a unique identifier, a named human owner, and a complete history.
Registry is the operating substrate of the platform. There is no second registry. There is no shadow inventory.
What every registry record carries.
Identity & ownership
Unique, immutable identifier. Named human owner. Lifecycle state. Ownership transfers leave audit records; orphan artifacts cannot reach production.
Lineage
Every artifact links to its predecessors. Flow → flow version → prompt → model → training corpus. Reconstructable end-to-end at audit time.
Approvals
Promotion between lifecycle states (DRAFT → STAGED → PRODUCTION → RETIRED) requires named approvers with approval policies your governance team controls.
Cryptographic chain
Promotion events sign their predecessor. Tampering is detectable. Audit queries verify the chain without trusting the platform's reporting layer.
Built for two readers.
For your engineering team
Registry exposes a typed API for every operation: register, version, list, fetch, promote, retire. The same API powers the SDK, the UI, the CLI, and the deployment pipeline.
Diff between any two versions of any artifact, including across non-consecutive edits. Roll back any artifact to any prior version with the same approval policy that governed promotion. No special-case rollback path.
For your audit team
Registry exposes a query surface designed for compliance review, not engineering operations. Who promoted what, when, with which evidence, under which policy. Exportable to PDF, CSV, or your existing GRC tool.
Every artifact in production is one query away from its complete history. Auditors do not file tickets to engineering for evidence. They run the query, attach the result, close the finding.
Reversible by design.
An artifact in Registry can be retired, but it cannot be deleted from production history. Retirement transitions the lifecycle state; the historical record remains. Auditors looking back six months can see exactly what was running on a given day, even if it has since been removed.
Rollback is a first-class operation. A bad promotion can be reversed by promoting a prior version through the same approval policy — same workflow, same evidence trail, no out-of-band script. Every rollback is itself a registered event.
Pilot Registry against your existing AI inventory.
We pilot Registry by importing your current AI artifacts — wherever they live today — and reconstructing their lifecycle records. The pilot ends with a complete inventory under governance, owned by your team. Six to ten weeks, sovereign environment.