
ReLLM
Permission sensitive, encrypted context api for GPT LLMs
ReLLM launched on April 25, 2023 with 4 votes. The site was not reachable when checked in September 2026.
What it does
ReLLM allows you to provide your users with secure long term context for LLMs such as chat GPT. We store context encrypted, and with user permissions baked in. The LLM is only provided context that the user talking to the LLM is allowed to see.
Does a similar job
all alternatives →- RAReLLM a Permission sensitive long term context API for LLMs2023 · rellm.ai · ▲5
Hey, we're excited to share ReLLM! ReLLM provides developers with an API to quickly add permission sensitive context for LLM's such as chatGPT. ReLLM goes a step further and also encrypts all of your plain text data at rest. The Motivation: We built ReLLM, because while developing a different application we realized there was not a great way to provide our users context for their GPT questions that was limited to only the data they are allowed to see. ReLLM is fully functional with 2 API endpoints. One to embed data, and one to invoke chat with GPT.

ChatGPT Plugins are a security nightmare2023 · github.com · ▲238New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.


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