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A MaxICo Labs product

AI agent runtime

A self-hosted agent configuration for an agreed workflow

Product in detail

How this product works.

A reference AI-agent configuration for teams that need control over the environment, data and execution rules. Access, infrastructure and capabilities are agreed after a technical brief.

MaxICo uses runtime patterns for isolating agent roles, skills, schedules and state supervision. A public repository for this specific runtime is not currently documented in the catalogue, so this page does not promise an open-source installation.

The configuration depends on the model, infrastructure, channel, allowed tools and data sensitivity. Before a pilot we define permissions, logging, limits, failure handling and human escalation.

Access model, instructions, licence and support are defined after a technical brief. A direct CTA can be added if a dedicated, verified public repository is published.

Published interface archive for the AQUATERM AI scenario

Adjacent interface archive

What a controlled AI workflow can look like.

The AQUATERM material shows request intake, dialogue, AI-assisted diagnosis, and work-order status. It does not prove this self-hosted runtime, a production deployment, or a client outcome.

Inspect the archive

Key parts

What's inside this product.

A reference AI-agent configuration for teams that need control over the environment, data and execution rules. Access, infrastructure and capabilities are agreed after a technical brief.

AI agent runtimeAccess by request
01

Self-hosted architecture after an infrastructure review

MaxICo uses runtime patterns for isolating agent roles, skills, schedules and state supervision. A public repository for this specific runtime is not currently documented in the catalogue, so this page does not promise an open-source installation.

02

Skills and schedules within the agreed workflow

The configuration depends on the model, infrastructure, channel, allowed tools and data sensitivity. Before a pilot we define permissions, logging, limits, failure handling and human escalation.

03

Permissions, logging and human escalation

Access model, instructions, licence and support are defined after a technical brief. A direct CTA can be added if a dedicated, verified public repository is published.

Before implementation

We first map the product to your workflow.

The introductory call gathers context. The available foundation, integrations, and ballpark scope are confirmed only after a separate review of requirements and dependencies.