UML (Universal Memory Layer)

A shared, private memory graph that allows AI models and agents to store, organize, and recall structured facts across different platforms.
Category: AI Productivity
banner-9905-14c9e760.png

Overview

UML is a universal memory layer that provides a persistent, structured graph for AI models. It extracts durable facts from conversations and workflows, allowing different AI tools like Claude and Cursor to share a unified, editable memory.

How to use it?

Users sign up to create a private memory link, which is then added to an MCP-capable AI client or integrated via API. Once connected, users can instruct their AI to save information or recall stored facts across various supported tools.

Features

Structured memory graph, MCP-compatible, Cross-platform memory, Fact extraction, Private data ownership, API and SDK access

Similar Websites

banner-9905-14c9e760.png
UML is a universal memory layer that provides a pe...
AI Productivity
opengraph-image-6
ContextVault acts as a centralized memory layer fo...
AI Productivity
banner-9864-3f45d773.png
Segue acts as a neutral relay that allows users to...
AI Productivity
synaptale-mark
SynapTale reads stories chapter by chapter to trac...
AI Productivity
og
Appaca is an AI-powered workspace designed for ope...
AI Productivity
Shopping Cart
Scroll to Top
About · Contact · Privacy Policy · Terms of Service · Disclaimer
Some links to tools are affiliate links — if you sign up through them we may earn a commission at no extra cost to you. This never affects which tools we list.
© 2026 GPT Library