Waxell Registry — Define What Can Exist and Execute

Waxell

Overview

Observe

Product

Early Access

Waxell

REGISTRY

Defining what can exist and execute

The Registry defines what is allowed to exist and run inside Waxell.

In a governed system, execution is not ad hoc. Every agent, workflow, and tool must be registered before it can participate in execution. Nothing runs unless it is known to the system and addressable by identity.

This establishes a clear boundary between what the platform recognizes as part of the system and everything else. Governance, testing, and observability all depend on this boundary being explicit.

Why the Registry matters in production

As agentic systems grow, the hardest problem is not generating outputs.

It is knowing what is actually running, how it is structured, and whether execution matches what teams believe the system is doing.

The Registry exists to close that gap. It makes the structure of execution explicit, inspectable, and enforceable rather than inferred.

What is registered

Waxell registers three kinds of components: agents, workflows, and tools.

Agents own execution. Workflows define how execution is structured within an agent. Tools are atomic operations where data or state change.

Agents may contain one or more workflows. Workflows are composed of tools. Tools cannot be called directly; they only exist as part of a workflow.

How the Registry is designed

In Waxell, the Registry is treated as a first-class system of record.

Components are defined centrally and referenced by identity rather than copied into agents or workflows. Execution always refers back to a single authoritative definition.

This ensures that changes propagate consistently and that drift between environments is avoided. Teams do not have to reason about which version of a component is actually being used.

Making execution structure visible

For every registered workflow, Waxell derives a Code Reality DAG.

This is not a design-time diagram and not a modeled plan. It is derived directly from the live code that defines the workflow.

The DAG represents the actual structure of execution as it exists in the system, not how it was intended to exist.

Making execution structure visible

For every registered workflow, Waxell derives a Code Reality DAG.

This is not a design-time diagram and not a modeled plan. It is derived directly from the live code that defines the workflow.

The DAG represents the actual structure of execution as it exists in the system, not how it was intended to exist.

From design intent to execution reality

Most teams operate agent systems based on design intent.

They know how a workflow is supposed to behave and which tools it is supposed to use. But without a structural representation of execution, validating that belief is difficult.

The Code Reality DAG makes it possible to compare expected execution with observed execution. Execution structure becomes observable rather than inferred.

Ownership and change management

Registry entries are managed deliberately.

Agents, workflows, and tools are versioned explicitly and referenced by identity. Changes to definitions update the execution structure they produce.

Because execution refers to registered components rather than embedded definitions, updates do not introduce silent drift or inconsistency.

Ownership and change management

Registry entries are managed deliberately.

Agents, workflows, and tools are versioned explicitly and referenced by identity. Changes to definitions update the execution structure they produce.

Because execution refers to registered components rather than embedded definitions, updates do not introduce silent drift or inconsistency.

Designed to scale

The Registry is designed for systems where execution is continuous and components evolve over time.

As automation expands, the need to understand execution structure increases rather than decreases.

The Registry does not become more complex as systems grow. It becomes more important.

POLICY A

POLICY B

POLICY C

POLICY D

Designed to scale

Centralized, reference-based policies scale cleanly across workflows, teams, and environments.

They are suitable for systems where execution is continuous, changes are expected, and governance must remain consistent over time.

Policies do not become harder to manage as automation expands. They become more important.

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From here

Waxell is currently available in early access, with a public beta scheduled for February 23, 2026.

If you are evaluating autonomous systems for production use, you can request early access to review the platform, discuss your use case, and understand how Waxell would be implemented for your workflows.

GET EARLY ACCESS

From here

Waxell is currently available in early access, with a public beta scheduled for February 23, 2026.

GET EARLY ACCESS