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Itential details FlowAI agent that outputs network mind maps

Source Decision Insights Coverage Published February 18, 2026 Companies 2
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2 companies named across 2 categories, one of 183 articles referencing Itential. Previous coverage: Itential details native language support in FlowAgent (Feb 2026).

Companies mentioned

Best suited for

Seniority
Staff
Job function
Application Management / Integration / Middleware
Persona
Platform / Infrastructure Engineer
Buyer role
Technical Implementer / Administrator
Decision stage
How to start
Adoption curve
Early Adopters
Industry
Information Technology / Software & Services / IT Services / AI Infrastructure

Our classification, not the publisher's statement. Best suited for, not only for.

Itential posted a demo showing a FlowAI agent that performs full device discovery with PyATS and produces interactive mind-map visualizations in roughly two minutes, enabling automated, refreshable network documentation for operational teams.

Research Overview

The post describes a demonstration in which a FlowAI agent was built to run PyATS Genie discovery and then convert collected data into mind-map visualizations via a MarkMap Model Context Protocol (MCP) integration.

The demonstration Radio Access Network (RAN) on an IAG platform instance and produced multiple report types from a single natural-language prompt that requested a full network discovery and visual documentation.

Technical Breakdown

The workflow uses a Node.js MCP for MarkMap that was cloned, registered, and executed from the platform; PyATS show commands were bound into the agent to collect device state.

The execution trace recorded about 12 tool calls, including repeated PyATS commands and calls to the MarkMap tool, and the project includes deterministic workflow variables for folder location and platform connectivity.

Key findings

The run generated three distinct visual reports: an executive overview mind map, an interface and addressing mind map, and a routing-table mind map, each produced for a requested set of devices.

The interface report included loopback, physical, virtual, and subinterface entries with IP addresses and status where available, and the routing report summarized connected, local, static, and dynamic routes.

Operational Impact

The agent can be re-run on demand from the platform to refresh documentation from live device state, and the described project stores output in a defined folder structure for subsequent access.

By invoking the agent with a natural-language prompt, operators can obtain structured visual documentation without manual parsing or repeated template maintenance, per the demonstration details.

The overall demonstration shows a workflow for turning live network telemetry into interactive mind maps that can be refreshed as needed; this is relevant for enterprise teams that require up-to-date infrastructure documentation. This “Blog Signals brief” is a fact-based summary of the vendor blog.

Blog post, originally published by John Capobianco at itential.com.

Mentions

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