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How to build a company brainShared memory for your team and your agents

See how shared memory turns scattered company context into something your team and AI agents can search, connect, and reuse.

n8n Lab×
cognee
Thursday, October 15, 2026 17:00 CEST · 11:00 EDT · 15:00 UTC
Cognee

Open-source memory for AI agents

One memory layer for the tools your company already uses.

Cognee is an open-source memory platform for AI agents. It connects company knowledge from tools such as Slack, GitHub, Linear, Notion, and Google Drive, then makes that context available to the agents your team works with.

Raised a $7.5M seed round

Led by Pebblebed, with participation from 42CAP and Vermilion Ventures.

Read the announcement
Memory for people, teams, and agents — Cognee connects Slack, GitHub, and Linear with AI agent tools.

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Registration is closed. Everyone who registered receives the recording by email.

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The problem

Your agents remember the prompt, not the work your company has already done.

Useful context is spread across conversations, documents, code, and internal tools. Agents fetch the same information again, repeat completed work, and answer from context that is already stale. The operational cost is slower execution and less trust in every automated decision.

Presenters

Meet the people building the system live.

Veljko
Cognee

Veljko

Head of Forward Deployed Engineering at Cognee

Luca
Cognee

Luca

Head of Product at Cognee

Jovan
n8n Lab

Jovan

Co-founder of n8n Lab

What you will learn

Build shared memory your team and agents can actually use.

01

Choose memory over repeated retrieval

See where retrieval stops being enough and persistent context becomes an implementation requirement.

02

Connect context across tools

Map Slack, GitHub, and company documents into one connected source your agents can use.

03

Design shared access

Give teams and agents useful context without turning every workflow into another isolated knowledge silo.

04

Take home a build pattern

Follow a live implementation and leave with decisions you can apply to your own agent stack.

Run of show

Forty-five minutes with a concrete outcome.

The session moves from the operational problem to implementation choices, a live build, and practical next steps.

0 to 5 minutes

Why the problem matters

Define the cost of fragmented and stale context.

5 to 15 minutes

Architecture and implementation choices

Map the memory layer, data sources, and access pattern.

15 to 35 minutes

Live demo

Build shared memory around real company context.

35 to 45 minutes

Moderated Q&A and next steps

Turn the implementation into decisions for your own stack.

FAQ

Before you join

Is the webinar free?+

Yes. Registration for this live online session is free.

Will there be a recording?+

Yes. Everyone who registers will receive the recording after the session.

How technical is the session?+

The session explains the architecture clearly and includes a real implementation. You do not need to be a Cognee expert to follow it.

What will I take away?+

You will leave with a practical pattern for connecting company context, persistent memory, and AI agents in one shared workflow.

Does the session include a live demo?+

Yes. The central part of the session is a live build showing the memory layer working with connected company context.

Give your team and agents shared context.

Thursday, October 15, 2026 · 17:00 CEST · 11:00 EDT · 15:00 UTC · Free online session

This session has ended.

Registration is closed. Everyone who registered receives the recording by email.

See all webinars

n8n Lab is an independent service provider. We are not affiliated with, endorsed by, or sponsored by n8n GmbH. “n8n” is a trademark of n8n GmbH and is used here only to describe the platform-specific implementation and automation services we provide.