Remem

Remem

Persistent memory API for AI agents

sunvictor567
@sunvictor567
Last updated on Aug 13, 2026
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Freemium from $19
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How AI and people discover Remem on PeerPush

Read by AI engines 30dEngines readingHow many times AI crawlers read this listing, and which engines those crawlers belong to.
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  • ChatGPT
  • Perplexity
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39 days

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Read by AI every day for the last 39 days.
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221 crawls

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By OAI-SearchBot, the ChatGPT Search indexer, in the last 90 days.

About Remem

Remem is a persistent memory API for AI Agents that gives teams full control over stored memory. It supports adding, updating, listing, deleting, wiping, and deduplicating memories, while retrieving the right context at the start of every session. Built for teams that want production-grade memory with ownership, governance, and easy integration, Remem helps agents remember what matters without trapping data in a black box.

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Product Updates (1)

sunvictor567
@sunvictor567

A blog section is now added to the Homepage

HI, followers of Remem there is now a section where you can read blog post about Remem and ai agent in general. feel free to check it out https://dev.remem.online/blog Happy to hear your feedback what world you like to be added what improvement about Remem do you want to be made.

Product had at the time: 5 upvotes • 3 comments • 4 followers • 3 PeerPush

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Reviews (1)

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Aayan

i think its great product but it should be also on platforms like buildrship.xyz

Comments (1)

omribenshoham
@omribenshoham

Game-changer for multi-turn conversations. Context loss between sessions was killing our workflow - now every interaction builds on what the agent actually learned. The deduplication is clever too, prevents hallucination loops. Worth it for

sunvictor567
@sunvictor567

@omribenshoham Really glad it's solving that for you! The duplication especially, that was a problem I kept hitting building agents myself before I built Remem. What's the workflow you're using it in, if you don't mind sharing?.

sunvictor567
@sunvictor567

@omribenshoham Always curious how people are applying it in production.