Rememberall

What it does

Rememberall is a secure, open-source solution that gives your Custom GPTs persistent memory across conversations. Simply mention @rememberall in your GPT to access past context and maintain continuous conversations.

solving long term memory storage for llms. Contribute to wrannaman/rememberall development by creating an account on GitHub.

A secure, open-source long-term memory solution for GPT Store builders and AI developers. Just mention @rememberall in your custom GPT to unlock persistent memory across conversations. // Example usage in your GPT's system prompt When user mentions past conversations , use @ rememberall to recall context : User: "What did we discuss about authentication last week?" Assistant: Let me check @ rememberall Assistant : According to our previous discussion , we implemented JWT - based auth ... For Developers Features 🔒 Privacy-First : Self-host your memory store 🚀 Vector-Based : Efficient semantic search 🔗 Easy Integration : Simple REST API 📦 Open Source : Customize and extend as needed Quick…from github.com

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  Rem: Remember Everything (open source)2023 · github.com · ▲555

  An open source approach to locally record everything you view on your Apple Silicon computer. Note: Relies on Apple Silicon, and configured to only produce Apple Silicon builds. I think the idea of recording everything you see has the potential to change how we interact with our computers, and believe it should be open source. Also, from a privacy / security perspective, this is like... pretty scary stuff, and I want the code open so we know for certain that nothing is leaving your laptop. Even logging to Sentry has the potential to leak private info.

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  Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112

  I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…

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