Tempreon
ChainMemory
Memori
Agentmemory
OpenMemory MCP
TheSecondBrain.dev
cognee
VATES.jp
Adele
Design Principles
Atlassian Design
Colorbox.io
Laws of UX
Digital Behavioral Design
avocode
Cofolios
Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client โ captured once, available everywhere. It learns how you actually work instead of just storing what you said.
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Tempreon's answer
Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you โ your context, your preferences, your judgment โ 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 โ 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.
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 โ your problem is re-explaining yourself to each of them and losing everything when you switch.
The choice is really about who the memory is for. Ours is for you.
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 โ Claude, ChatGPT, Cursor, anything MCP-capable.
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 โ you're the audience.
Tempreon's answer
The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.
Based on our record, Adele seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Similar to UXPin's Adele, but you can search specific UI components. Source: almost 4 years ago
If you're looking for design systems components, UXPin has a massive list of in-use design systems here https://adele.uxpin.com/ where you can browse documentation for all of them. Source: almost 4 years ago
Itโs absurd that a project focused on design systems and ui/ux canโt manage to make its own website work on a mobile device with a little responsive cssโฆ https://adele.uxpin.com. - Source: Hacker News / almost 4 years ago
If you are looking for Open Sourced Design Systems Click Here. This contains all big projects. - Source: dev.to / about 4 years ago
You can peruse https://adele.uxpin.com/ to find a design system with the look that fits your needs. Source: over 4 years ago
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Design Principles - An open source repository of design principles and methods
Memori - Persistent memory from agent trace, not just conversation
Atlassian Design - Design, develop, and deliver
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Colorbox.io - Create accessible color systems ๐จ