Opal VS Tempreon

Opal's answer

All your content is on a visual, infinite canvas desk. Notes, documents, files, etc. are draggable icons that you can organize spatially because we remember WHERE things are, not just what they're called. Opal keeps your work in sight so your brain never drops it.

Tempreon's answer:

Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use — Claude, ChatGPT, Cursor, anything MCP-capable.

• It learns, it doesn't just store. How you work, what you decide, how you like things done — refined over time, not filed away.
• One memory, every assistant. Captured once in one tool, available in all of them. No re-explaining yourself.
• Custody is structural, not marketing. Your data exports anytime, the formats are portable, and our export tooling (memhaul) is open source. We monetize the service, never the custody.

Opal's answer

When content is spatially organized, you stop losing content buried under folders, hierarchies, categories, and menus. Your brain begins to fire differently, sparking new ideas and spotting links, patterns, and opportunities it used to miss. - You connect ideas across clients, projects, and ideas - You Stay In Flow, No Context Lost, And No Rhythm Broken - You make faster, sharper decisions because every note and project is visible at once - You reuse your best work instead of rebuilding it from scratch - You eliminate the need for text-based searches and can find things even if you can't remember what you named them

Tempreon's answer:

Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem — your problem is re-explaining yourself to each of them and losing everything when you switch.

• Tempreon solves that one: one memory, every assistant, no re-onboarding.
• The model landscape changes every few months — a memory layer that belongs to you is the thing that shouldn't.
• No lock-in by design: plain-text exports, open-source export tooling, portable formats.

The choice is really about who the memory is for. Ours is for you.

Opal's answer

Solopreneurs, freelancers, people juggling multiple clients, visual thinkers, neurodivergent thinkers, and people who've quit productivity apps.

Tempreon's answer:

Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.

If you've ever pasted the same context into Claude and ChatGPT in the same week — you're the audience.

Opal's answer

Something was lost when everything went digital. Having used various tools for years, I eventually discovered a fatal flaw that nearly all knowledge management tools suffer from: their attepts to organize content became the means by which content got buried. Over time as more content gets added, it became harder to find things, especially when you can't remember what you called it.

We remember things in physical space because we see them all the time and register their existence subconsciously, even if we don't need them in the moment. For example, if you asked where my keys were, I could tell you instantly. This spatial reasoning and thinking effect is severely hindered in the digital space.

After enough frustration, I decided to do something about it: build a spatial knowledge management tool that lets you see everything all at once. As you pan and zoom around your workspace, you are registering the existence of things even when you don't need them in that moment. That changes everything over time. Organizing becomes less about categorization, labeling, or hierarchy, and more about placement and "where I left it". Your brain remembers where far more easily than what. This is why I built Opal.

Tempreon's answer:

Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you — your context, your preferences, your judgment — gets rebuilt from scratch inside every tool, and lost every time you move.

We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon — like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.

The through-line is custody: the model is temporary, your memory shouldn't be.

Opal's answer

Web-based application built on NodeJS, Express, Form.io (MongoDB), and JavaScript.

Tempreon's answer:

• Model Context Protocol (MCP) over streamable HTTP — the core of it. This is what makes Tempreon work in any compliant client rather than one walled garden.
• OAuth 2.1 with dynamic client registration and PKCE for authorization.
• TypeScript and Postgres under the hood.

The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.