FastComments
DISQUS
Commento
giscus
Hyvor Talk
utterances
Commentix
IntenseDebate
Tempreon
ChainMemory
VATES.jp
CustomGPT.ai
Pinecone
Dialogflow
Memo.ai
Dify
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.
FastComments TempreonTempreon'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, FastComments seems to be more popular. It has been mentiond 7 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.
I'm working on Watch.ly - a remote human-in-the-loop networking and FS sandbox for AI agents like openclaw: https://watch.ly/ Also this week launching https://dirtforever.net/ which is an open alternative to RaceNet Clubs for Dirt Rally 2, since EA is shutting that down. I'm also expanding the SDK and plugin space for https://fastcomments.com and am planning on adding AI agents because everyone expects that now :)... - Source: Hacker News / 4 months ago
Hello! This year I've been working on building an integrated registration and live timing platform [0] for my local organizers in CA, but it is spreading. Very fun/rewarding project. I hope to launch my own cellular-based timing hardware this year which will integrate into the timing platform (right now I've reverse engineered and now support 5 different chronometers, I never knew cross platform serial port comms... - Source: Hacker News / almost 2 years ago
Another one I can recommend enthusiastically but forgot to mention before, is a paid service called FastComments (https://fastcomments.com/). Great, non-heavy code with a super-helpful developer. Source: about 4 years ago
With a quick search, I found https://fastcomments.com/, which does provide comments storage. What does your library provide that this service doesn't? Source: about 4 years ago
I just started using https://fastcomments.com/. I am still in the free trial but it seems pretty good so far. Source: over 5 years ago
DISQUS - Disqus is a global comment system that improves discussion on websites and connects conversations across the web.
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Commento - A fast, bloat-free comments system to foster discussion on your website
VATES.jp - Embeddable B2B AI infrastructure. Knowledge is held as structured plain text and interpreted at observation time โ no vector database, no embedding pipeline, no re-ranking. Integrate by API like Stripe or Twilio, or run it as a self-serve widget.
giscus - A comments system powered by GitHub Discussions. Let visitors leave comments and reactions on your website via GitHub!
CustomGPT.ai - Turn Data into Dialogue with AI-Driven Precision.
