MemoryLake
Design & Creativebrand asset memory for design teams

Give Design Teams Brand Asset Memory the AI Actually Sees

Brand assets live in DAMs, Google Drives, Figma libraries. AI design tools can't read any of them at runtime. Designers manually find and paste references every project. MemoryLake makes brand assets AI-readable memory across every tool.

Day 1“Brand assets live in DAMs, Google Drives, Figma libraries.”✓ Got it, I will remember.Day 7 — new session“Same task again — can you keep the context?”× Sure — what was the context again?(forgot every detail you taught it)+ MEMORYLAKE LAYERMemory auto-loadedAsset memory with metadataMultimodal storagePer-client brand scopesSESSION OUTPUT✓ Same prompt, on-brand answerNo re-briefing required.

Give Design Teams Brand Asset Memory the AI Actually Sees

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The problem: brand asset libraries are invisible to AI tools

The approved logo lockup, the brand photography style, the type specimens, the color palette — all live in places AI tools can't reach. Every design session re-loads references manually. The DAM that should be the source of truth is just a folder structure.

How MemoryLake captures brand asset memory

Asset memory with metadata

Asset memory with metadata

Logos, photos, type specimens with usage rules.

MEMORYMultimodal storage

Multimodal storage

Native image and asset memory.

MEMORYPer-client brand scopes

Per-client brand scopes

Each client's assets isolated.

Cross-tool retrieval

Cross-tool retrieval

Figma, image AI, design copilots unified.

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Free forever · No credit card required

How it works for brand asset memory

  1. Connect — Authorize DAM, Drive, Figma libraries.
  2. Structure — Assets become typed memory with usage rules.
  3. Reuse — AI design tools retrieve relevant assets.

Before vs. after: brand asset AI memory

Without MemoryLakeWith MemoryLake
AI tool sees brand assetsNoYes
Reference-finding timeHours per projectMemory-loaded
Off-brand AI outputCommonMemory-blocked
Multi-client brand confusionPossibleScope-prevented

Who this is for

Design teams at studios and in-house — managing brand asset libraries that AI design tools currently ignore.

Runnable demoabout 3 minutes

Try this use case on your own account

A fictional coffee roaster exports six brand images from its DAM, all named like IMG_2031.png. Imported into one MemoryLake project, each picture is looked at: MemoryLake describes what is in it, reads the text on it and lists the questions it answers. A new freelance designer then asks in plain words, such as what he must never do with the logo, and gets the right picture back at rank 1, picked by what is in it, plus the original file downloaded into a brief. The brand lead's sign-off chat goes in with the pictures as IMAGE blocks and her rules pinned as facts, and the retired 2019 wordmark is removed from memory and stops coming back.

What you will see

  • Images imported as image_file documents: a description, the text read off each picture, and the questions it answers
  • Plain-words questions answered with the picture checked against the expected file (19 of 20 at rank 1 across four runs), and the original downloaded with proj doc download
  • A sign-off chat with the pictures sent as IMAGE content blocks, replayed and resolved to their files; brand rules pinned with fact add
  • A retired wordmark removed with proj doc delete: rank 1 before, not returned after. Plus a local web UI

You need: a MemoryLake API key · the memorylake CLI · Python 3.9+

Run it

git clone https://github.com/memorylake-ai/memorylake-usecases.git
cd memorylake-usecases/brand-asset-memory
export MEMORYLAKE_API_KEY=sk-…
python3 demo.py          # or: python3 web/server.py
Open on GitHubRead the walkthrough

Watch it run · real, unedited recordings

CLI demo4:06Web demo5:04

Related use cases

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Marketing & GrowthBrand Voice Memory for Marketing TeamsMarketing teams re-train AI on brand voice every session. MemoryLake stores brand voice as memory every AI tool retrieves automatically. Free to get started.
Design & CreativeStyle Guide Memory for Design TeamsStyle guides go stale and AI tools ignore them. MemoryLake makes style guides AI-readable and always current. Free to get started.
Design & CreativeDesign Feedback Memory Across ClientsDesigner client feedback scatters across tools. MemoryLake stores feedback patterns per client for AI tools to read. Free to get started.

Frequently asked questions

DAM integrations?

Bynder, Brandfolder, Frontify, Google Drive, custom — supported.

Multimodal storage?

Yes — native image memory via D1 engine.

Free tier?

Yes — for small design teams.

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