Overview

The controls that make agentic systems operable

The controls that make agentic systems operable

Waxell is a governance and observability platform for AI agents in production nine capability areas that give teams the policies, budgets, telemetry, and enforcement controls to run autonomous systems reliably. Where other tools show you what agents did, Waxell also controls what they're allowed to do next.

FreE during beta.

WORKS WITH ANY PYTHON AGENT FRAMEWORK.

Define Limits

Policies

Define what agents are allowed to do and what requires approval. Applied centrally, so governance holds even as workflows change.



Budgets

Set hard limits on cost and usage across agents, users, and sessions. Spending becomes predictable — enforced by Waxell, not tracked in a spreadsheet.


Policies

Define what agents are allowed to do and what requires approval. Applied centrally, so governance holds even as workflows change.



Budgets

Set hard limits on cost and usage across agents, users, and sessions. Spending becomes predictable — enforced by Waxell, not tracked in a spreadsheet.


Policies

Configure logging and compliance. Every decision, every call, every cost — recorded immutably for review.




Budgets

Set hard limits on cost and usage across agents, users, and sessions. Spending becomes predictable — enforced by Waxell, not tracked in a spreadsheet.


Observe and Record

Executions

A durable record of what happened, in what order, and under which conditions. Agent behavior becomes traceable, not opaque.



Telemetry

Continuous visibility into how agent systems perform in production. Patterns, drift, and anomalies — surfaced as systems run, not only after failures occur.


Executions

A durable record of what happened, in what order, and under which conditions. Agent behavior becomes traceable, not opaque.



Telemetry

Continuous visibility into how agent systems perform in production. Patterns, drift, and anomalies — surfaced as systems run, not only after failures occur.


Executions

A durable record of what happened, in what order, and under which conditions. Agent behavior becomes traceable, not opaque.



Telemetry

Continuous visibility into how agent systems perform in production. Patterns, drift, and anomalies — surfaced as systems run, not only after failures occur.


Build and Operate

Testing

Evaluate agent behavior and governance changes in controlled environments before deployment. Unvalidated behavior stays out of live systems.


Signal & Domain

Defines how data moves between production systems and the Waxell runtime. Autonomous workflows connect to internal systems without exposing them.


Registry

Defines which agents, workflows, and tools are allowed to exist and execute. Execution structure becomes explicit and verifiable.



CLI

Observe, test, and operate agent systems directly from the command line. Act on live systems without switching tools or bypassing governance.


Agent Composer

Turns high-level intent or existing agent logic into governed, deployable agents. No rewriting required. No governance bypassed.



Testing

Evaluate agent behavior and governance changes in controlled environments before deployment. Unvalidated behavior stays out of live systems.


Registry

Defines which agents, workflows, and tools are allowed to exist and execute. Execution structure becomes explicit and verifiable.



Agent Composer

Turns high-level intent or existing agent logic into governed, deployable agents. No rewriting required. No governance bypassed.



Signal & Domain

Defines how data moves between production systems and the Waxell runtime. Autonomous workflows connect to internal systems without exposing them.


CLI

Observe, test, and operate agent systems directly from the command line. Act on live systems without switching tools or bypassing governance.


Testing

Evaluate agent behavior and governance changes in controlled environments before deployment. Unvalidated behavior stays out of live systems.


Agent Composer

Turns high-level intent or existing agent logic into governed, deployable agents. No rewriting required. No governance bypassed.



CLI

Observe, test, and operate agent systems directly from the command line. Act on live systems without switching tools or bypassing governance.


Registry

Defines which agents, workflows, and tools are allowed to exist and execute. Execution structure becomes explicit and verifiable.



Signal & Domain

Defines how data moves between production systems and the Waxell runtime. Autonomous workflows connect to internal systems without exposing them.


Ready to Start?

FreE during beta.

Works with any Python agent framework.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.

Waxell

Waxell provides observability and governance for AI agents in production. Bring your own framework.

© 2026 Waxell. All rights reserved.

Patent Pending.