The Super Harness: Planes and Primitives for Enterprise-Grade Agent Systems

Putting language-model agents to work in an enterprise is hard mostly because of the harness around the model: what runs, where, as whom, seen by whom, knowing what, and at what cost. Most teams rebuild it for each use case and each agent product. We describe instead a super harness, drawn from building and running one: a single system on which an enterprise runs many agentic workflows, or flows; which governs every agent harness inside them under one policy, gateway and audit trail; on which a new flow is created by describing it to an assistant; and which is built to improve every day, because each flow is measured on its own runs and on what people do and say about them, not on synthetic benchmarks. It ismade of six planes of primitives: Access (single sign-on, permissions that cascade down to a single node, a named account behind every tool), Control (flows of seven node types, approvals, human in the loop, durable runs, evaluation on real use), Context (prompt caching, memory recalled by tags and time, skills), Execution (hosted, sandboxed, or on a person’s own machine), the Gateway (every node’s only way out) and Operations (audit, telemetry, versions). We follow a support inbox shared by several teams from design to daily operation, sketch five other enterprise processes, show how flows are built on a canvas, in conversation or as a definition, and close with lessons, open questions and a checklist for builders.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23897942
Primary Topic
Artificial Intelligence Applications
Type
preprint
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preprint

The Super Harness: Planes and Primitives for Enterprise-Grade Agent Systems

Rajasekhara Reddy Karri
2 links
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
preprint

The Super Harness: Planes and Primitives for Enterprise-Grade Agent Systems

Rajasekhara Reddy Karri
preprint en

Abstract

Putting language-model agents to work in an enterprise is hard mostly because of the harness around the model: what runs, where, as whom, seen by whom, knowing what, and at what cost. Most teams rebuild it for each use case and each agent product. We describe instead a super harness, drawn from building and running one: a single system on which an enterprise runs many agentic workflows, or flows; which governs every agent harness inside them under one policy, gateway and audit trail; on which a new flow is created by describing it to an assistant; and which is built to improve every day, because each flow is measured on its own runs and on what people do and say about them, not on synthetic benchmarks. It ismade of six planes of primitives: Access (single sign-on, permissions that cascade down to a single node, a named account behind every tool), Control (flows of seven node types, approvals, human in the loop, durable runs, evaluation on real use), Context (prompt caching, memory recalled by tags and time, skills), Execution (hosted, sandboxed, or on a person’s own machine), the Gateway (every node’s only way out) and Operations (audit, telemetry, versions). We follow a support inbox shared by several teams from design to daily operation, sketch five other enterprise processes, show how flows are built on a canvas, in conversation or as a definition, and close with lessons, open questions and a checklist for builders.

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
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