MobileAPI.dev
CraftAPI
deployd
EchoAPI
Fireapis
Turbofy
ItemsAPI
Generate and share OpenAPI specs with AI

ChainMemory
Memori
Mem0
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
A personal memory layer for your AI tools, connected over MCP.

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
cK
create-api.dev by Kong
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|---|---|---|
| Website | api.dev | tempreon.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of create-api.dev by Kong yet.
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 — captured once, available everywhere. It learns how you actually work instead of just storing what you said.
What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
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No analysis of Tempreon yet.
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing create-api.dev by Kong and Tempreon.
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.
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.
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 — 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 — 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.
Share your experience with using create-api.dev by Kong and Tempreon. For example, how are they different and which one is better?
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