INFRAHUB FOR AI AND AGENTIC OPERATIONS

Build trustworthy agentic operations with an AI data backbone.

Infrahub is the trusted infrastructure intent layer for building reliable and accurate infrastructure AIOps and agentic network automation.

Accelerate AIOps

Infrahub provides the data backbone needed to ensure your AI and agentic plans can move forward at pace.

Execute with Trust

An agent-ready model means you can deploy agents to answer real operational questions and execute complex tasks.

Day 2 included

No need to fear drift being introduced and throwing off agentic accuracy.

Lifecycle management is built in.

“Every engineer, despite having config templates, creates one-offs or slight differences depending on who did the copy and paste. My biggest problems are config drift and speed of deployment. This year we're scoped to deploy 40 data center buildings, and we can't do that [without Infrahub].”

— Principal Network Engineer, Hyperscale Colocation Provider

Unify fragmented data sources

Infrahub’s flexible schema unifies fragmented data into a single, authoritative and relationship-rich data model that sets the foundation for reliable agentic actions

Define your own AI data backbone: Infrahub lets you define the model to fit your business needs, so you can create a data backbone as an agentic source of truth.
Unify data without rip-and-replace: Bring disparate data sources together, including CMDBs, vendor-specific tools, legacy SoTs, and homegrown databases.
Agent-ready knowledge graph: Infrahub models everything in a knowledge graph that captures rich data relationships.

Learn more about Infrahub’s flexible schema →

Serve agents well-curated context

Infrahub’s MCP interface is built on the foundation of a GraphQL API that enables meaningful, well-curated query scoping, which is essential to providing the context ahd LLMs and agents need to take accurate action.

MCP interface: Agents can query, create, update, and propose changes to your infrastructure data through a consistent, audited interface
GraphQL API: Infrahub’s MCP interface is built on the foundation of a GraphQL API that enables precise query scoping that serves the curated context agents need for accuracy.
Trustworthy execution: Agents can answer real operational questions and execute complex tasks because data structures support them.

Learn more about Infrahub MCP →

Empower LLM-native automation

Infrahub Skills enable AI coding assistants to perform in-depth platform development automation based on indexed documentation that’s ready to serve rich context to LLMs.

Design and build your data model: Describe your data model in plain language and the skills produce a valid Infrahub schema.
Build generators, transforms, and checks: Create generators to auto-create infrastructure objects, transforms that convert Infrahub data to device configs, and CI validation checks.
Populate and manage data: Produce YAML data files for infrastructure objects with correct structure, mappings, and load order. Generate objects from descriptions.

Learn more about Infrahub Skills →

Resources

- Learn why AIOps needs a new data management architecture. OpsMill Director of Solution Architecture explains how to build sound infrastructure data governance as the foundation for reliable AIOps. Read the blog →
- Watch the Infrahub AI Skills livestream where Solution Architects Benoit Kohler and Phillip Simonds walked through how Infrahub Skills cover the full Infrahub development lifecycle.Watch the livestream →

“I wish we had had [Infrahub] two years ago. This is automation in a way we didn't know existed.”

— Sr. Automation & Network Engineer, Neocloud Provider

Get started  your way →

Infrahub Community

Open source and forever free. All the schema flexibility and Git-style version control you need to explore infrastructure automation at your own pace.

Download on GitHub →

Infrahub Enterprise

Built for scale, complexity, and production reliability. Includes high availability, advanced integrations, performance enhancements, and SLA-backed enterprise support.

Request a demo →