Dietmar Fischer

Working memory, episodic memory, semantic memory, and procedural memory.

Working memory is the AI's desk.

It holds the current task, the current instruction, the thing it is trying to do right now.

Episodic memory is the AI's diary.

It remembers what happened before, a meeting, a decision, a client objection, a campaign result.

Semantic memory is the AI's knowledge base.

It stores stable facts, company policies, brand rules, product information, audience definitions.

Procedural memory is the AI's playbook.

It remembers how things are done, how reports are structured, how campaigns are reviewed, how a podcast script is built, how a user prefers their briefing.

For business AI, this is a major shift.

The assistant might remember what happened in this project, what the company policy says, and how this user likes reports structured as different kinds of memory.

Same AI, different memory objects, different jobs.

And that is where things get useful.

Because AI agents are supposed to do more than answer questions.

They are supposed to plan, use tools, take action and support work over time.

But an agent without memory is like a project manager who cannot remember the project.

It may sound confident, but it lacks continuity.

The useful colleague is not only the one who can write a nice paragraph, it is the one who remembers that this client is sensitive about budget, that the board wants numbers first, and that the last version of the campaign failed because the message was too generic.

That kind of memory turns AI from a clever text machine into something closer to an operational partner.

Still a machine, of course.