Ariadne, your AI employee

Give Ariadne a real place to work

Build an AI employee that grows with your company

With every task, Ariadne gathers new knowledge, new skills and experience.

Step by step, the AI becomes a lasting asset for your company.

Runs locally, on your server or in the cloudLearns with every taskYou decide what Ariadne may do
Ariadne's workplaceworking
Workspace
  • Knowledge
  • Skills
  • Projects
  • Sources
Recent
  • Monthly report for management created
  • New skill saved: prepare quote
  • Customer A linked to project B
  • Two figures flagged for review
Knowledge entries
1,248
Skills
14
Tasks completed
312

Example view

More than a chat

It gets interesting after the first task

Many AI systems can handle a single task very well. The difference shows afterwards.

Many AI systems

The result stays in a chat, in someone else's cloud.

With Ariadne

Its own workplace

Ariadne has its own virtual PC workplace that you build up together with it.

Many AI systems

In the next chat, you start from zero again.

With Ariadne

Long-term memory

It has an advanced long-term memory with a sense of time.

Many AI systems

It becomes just another data silo in your company.

With Ariadne

Learns on its own

It learns from tasks and conversations on its own and works transparently, in a structured way and persistently.

Hand over one task first, then an entire area of work.

The value for your company

Build AI capacity that stays in your company

An AI employee trained on your work does more than save time. The longer you train it, the more knowledge, structure and autonomy stays with your company.

How Ariadne's knowledge grows. Three stages of a growing knowledge network: a few isolated points in week 1, a connected network in month 6 and a dense network in year 3.
Week 1First tasks, first knowledge
Month 6Knowledge connects and is usable every day
Year 3A body of knowledge that stays in the company

Get more done without the effort growing with it

Research, documentation, analysis and recurring knowledge work mostly cost time. Ariadne takes over a growing share of it. People stay involved where experience, responsibility and decisions are needed.

Knowledge depends less on individual people

Crucial knowledge often sits in mailboxes, files and the heads of individual employees. Ariadne makes it usable for everyone in everyday work. When someone leaves, their entire working context no longer leaves with them.

Experience becomes a measurable company asset

What you invest in knowledge, skills and workflows today stays in Ariadne's workplace, independent of individual users, computers and AI models. Over the years, this creates a body of knowledge whose value can be measured by how well and how autonomously Ariadne supports you.

Open and verifiable

See for yourself whether Ariadne keeps its promises

Ariadne is not a concept and not a demo behind closed doors.

You can look at the engine, install it yourself, try it out directly and understand how the system is built.

  • Ariadne Engine on GitHub

    The development of the Ariadne Engine is publicly documented and open to view.

    See the current state, new features and the technical foundation for yourself.

    View the engine on GitHub
  • Try it on your own computer

    Install Ariadne on your own hardware and work directly with your own files, models and tasks.

    No demo data. No consulting project first.

    Download Ariadne
  • Test it directly in the cloud

    If you want to try Ariadne without installing anything first, you can use our cloud environment.

    It is suited for getting to know Ariadne, testing and smaller use cases where a small virtual workplace is enough.

    Try Ariadne in the cloud
  • For permanent use in your company

    If Ariadne is to take over a fixed area of work, we support you in setting up your own Ariadne instance, integrating existing systems and training it on your use case.

    You keep control over the resulting Ariadne instance and can continue developing it yourself afterwards.

    View the business offer
  • Documentation and Academy

    In the Ariadne Academy, we openly show how skills, knowledge, workspaces and extensions are built and how you adapt Ariadne to new tasks yourself.

    Go to the Academy
How Ariadne works

A PC of its own for your AI

At the core of Ariadne is a persistent, secured workspace.

There, the AI doesn't just generate text, it works with knowledge, files, programs and other systems.

Long-term memory with structure

Ariadne can develop topics and connections in its long-term memory over long periods of time.

During so-called “dreaming”, it searches past interactions in the background for new insights.

This turns individual pieces of information into a usable body of knowledge for the AI.

Skills instead of ever-new prompts

Ariadne can save, reuse and refine approaches as “skills”.

This lets you turn a successful task into a workflow it can use again later.

Access to real tools

Through integrations and MCP, Ariadne can work with programs, services and devices.

That can be a file system, a piece of software, a browser, another computer, or even a machine or a robot.

Clear boundaries for autonomous work

Not every capability automatically means unrestricted access.

You decide what Ariadne may use and which tasks it may carry out on its own.

Portable knowledge and portable skills

Workspaces should not be tied to a single chat, computer or user.

Knowledge, skills and configured work environments can be transferred and reused.

Working directories optimized for AI agents

On request, Ariadne maintains working directories in a structure optimized for AI agents.

That way it finds relevant information faster and follows clear rules about what counts as an immutable source, what should be documented during work and what a human needs to confirm and review.

This structure is also easy for people to understand and makes even the most complex content and relationships traceable.

Ariadne runs anywhere

Whether locally on your laptop, on your own server or in our cloud: Ariadne runs anywhere.

The system can even be operated with small local AI models in specific environments such as robots or machines.

Alternatively, you can equip it with tools and extensions so that it gets access to exactly the environment it needs, no matter where the Ariadne instance runs.

Before you start

Common questions

Do I have to restructure my company for Ariadne?

No. Ariadne is built to be integrated into existing work environments.

It can be integrated with any existing system, and its basic way of working is based on text documents and folder structures.

Does everything have to go to the cloud?

No. Ariadne can run on your own hardware. You decide which models or external services are used.

Do I need to know how to program?

No. You can give Ariadne knowledge, explain tasks and teach it new approaches without having to develop software. Everything can be configured through natural language and a user application.

For special requirements, an Ariadne instance can also be extended technically. We are happy to help with that!

Does Ariadne need access to all systems right away?

No. Start with one task and exactly the tools it requires. Further access and skills can be added later.

What happens if I want to switch the AI model?

An Ariadne instance, its workplace and the AI model (LLM) are not the same thing.

Ariadne's knowledge, files, skills and work environment can persist independently of the AI model in use.

Is Ariadne only meant for large companies?

No. Ariadne is actually optimized for small and medium-sized businesses!

A workplace can start with a single person and grow with the tasks.

What matters is not the size of the company, but whether you want to integrate AI into your work for the long term.

The first step

Start with one task. Build a real place to work for your AI from it.

You don't need to know today what work Ariadne should take over a year from now.

  1. Give it a first task.
  2. Show it what it needs to know and what it may work with.
  3. Keep what works.

And step by step, build an AI employee that knows your company better and better.