Solutions for your team knowledge

A foundation that fits your workflows.

OwnMemory is the software that gives your company a shared AI memory. It runs on your server and is connected to your systems and workflows together with you.

Foundation plus extensions: you start with what you need.

01 The foundation

One shared memory on your server

All AI tools in your company work from the same knowledge. It lives in OwnMemory on your server, organised in areas.

  • Store and find

    OwnMemory finds knowledge by meaning. The search uses a local AI model on your server that you can choose and install individually.

  • Rights and protection

    Each AI tool receives only the areas you grant. OwnMemory replaces sensitive details with placeholders.

  • Rules and history

    Mandatory knowledge is maintained by the administrator. Versions and logs show what changed and when.

02 Connections

Your software reports straight into the memory

Through an interface, your systems write reports into OwnMemory. This interface is built and in use.

  • Report:
    A pipeline or your own software reports success or failure, with the log excerpt in case of an error.
  • Organise: 
    OwnMemory stores the report in the right area. It recognises repeated errors and does not store them again.
  • Use: 
    Your AI tools read the report and suggest what to do. A person decides. Ticket systems and ERP can be connected too.

03 Examples

What you can build with OwnMemory

On the foundation of OwnMemory, you can build workflows that fit your company exactly. Here are a few examples.

Keep deadlines in view

“What expires soon?”

Deadlines and dates are often scattered across contracts, tickets and calendars.

Possible use

OwnMemory could collect deadlines from your systems and remind you in good time.

Deadlines · Reminder · Contracts

Support with experience

“Have we seen this before?”

A new request is worth comparing with earlier cases, but nobody remembers them all.

Possible use

For a new request, OwnMemory could show similar earlier cases with their solutions.

Ticket · Similar cases · Solution

Fix errors faster

“What is causing the error?”
  • When a pipeline reports an error, the search for the cause often starts from zero.

Possible use

The AI could suggest a fix based on the report and earlier cases. A person approves it.

Pipeline · Suggestion · Approval

Regular overviews

“What happened this week?”

Reports pile up, and nobody reads them all.

Possible use

OwnMemory could create a summary on a schedule, for example every morning.

Schedule · Summary · Overview

Chatbot access

“Where was that again?”

Not everyone in the company works with AI tools such as Claude or Cursor.

Possible use

A chatbot could answer your employees’ questions from the memory, with the rights you define.

Chatbot · Questions · Rights

Actions in your systems

“What happens after the decision?”

When a person approves something, the action should not have to be carried out by hand.

Possible use

OwnMemory could trigger an action in your software via webhook, for example a new pipeline run.

Webhook · Action · Approval

The AI detects and suggests, a person decides.

04 Foundation and extensions

Start with the foundation, extend as needed

  • The foundation brings everything a shared AI memory needs. The extensions follow your workflows.
THE FOUNDATIONEXTENSIONS AS NEEDED
Store and find knowledgeChatbot access for your employees
Rights per area and AI toolActions in your systems via webhook
Reports from your softwareWorkflows such as deadlines and summaries

05 Data sovereignty

The memory belongs in your infrastructure

OwnMemory stores and searches your knowledge on your own server. Even the search by meaning uses a local AI model on your server that you can install individually.

DATA SOVEREIGNTY NEEDS CLEAR RULES

What a connected AI tool receives is controlled by access rights and pseudonymization. Even with cloud models, you see exactly what leaves your server.

To Security

06 Process

How a project works

You begin with the foundation and extend it to your needs.

01

Conversation

We clarify which systems and workflows OwnMemory should connect in your company.

02

Scoping and implementation

You receive a proposal for the foundation and extensions. The foundation is set up and connected. We advise you on choosing the server.

03

Extensions

More workflows are added step by step, entirely to your needs.

07 Frequently asked questions

Good to know before you start

The most important questions for getting to know OwnMemory.

No. OwnMemory is a service with its own local AI model that stores and retrieves knowledge. We can add chatbot access as an extension.

No. It complements them and keeps ready the knowledge your AI tools need for their work.

Yes, if they support MCP, like Claude or Cursor. Together we check which tools you use and what the connection looks like.

The knowledge store is on your server. What a cloud AI tool receives is controlled by access rights and pseudonymization.

The foundation and the interface for reports are finished. Chatbot access, actions via webhook and further workflows are implemented with you as extensions.

o8 Contact

What should OwnMemory connect to in your setup?

Let’s look at your use case. In a demo we discuss how OwnMemory fits your way of working, your AI tools and your infrastructure.

What we can clarify together

  • Which knowledge you want to share
  • Which systems should be connected
  • Which workflows can be automated

Please do not send confidential data in your first contact.

For enquiries and demo appointments, please use our contact page.

Go to the contact page