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Hyperfluid 2.0 is live console.hyperfluid.cloud
Autonomous Agents

AI Agents

Autonomous AI workers, inside your perimeter

An agent is a prompt, a model and read-only access to your data. Create it self-service, expose it on the interfaces you enable: it works on your data, with your rules, without ever leaving your perimeter.

AI Agents Interface - Hyperfluid agent creation

Specifications

Definition
A prompt, a model, your data
Data access
Read-only, scoped by you
Models
Local vLLM or European APIs
Governance
Inherited from the platform
Creation
Self-service
Exposure
The interfaces you enable

Use cases

Create a business assistant

An agent that answers your team's questions from your data, created self-service

Created self-service

Run inside your perimeter

Local models served by the platform (vLLM) or European APIs: inference runs where you decide

No data exposed

Expose under control

Each agent is only reachable from the interfaces you enable, with read-only access to data

Controlled exposure

In action

A business team creates its assistant

You want an assistant that answers your team's questions from your own data

  1. Create the agent from the console: its name and what it is for
  2. Choose what it can do and the data sources it may read
  3. Write its instructions, then pick the model that runs it
  4. Enable the interfaces: the console chat, and mail if you need it

A working business assistant, created self-service, with no ticket

IT opens AI to business teams

A platform team lets business teams create their agents without losing control of the data

  1. Every agent authenticates with a read-only service account: the platform refuses to start it if that account goes further
  2. The scope stays explicit: an agent only reads the data sources it was given
  3. Choose where inference runs: models served inside your cluster or an external provider
  4. Find every agent created in the console, with its model, its sources and its interfaces

Business teams create their agents, IT keeps control of the data scope

Key benefits

  • Self-service creation: a prompt, a model, a data scope
  • Strictly read-only access to your data
  • Local models (vLLM) or European APIs, your choice
  • Platform governance applies to every agent

Ready to create your first AI agent?

Discover how AI agents work on your data without exposing it.