ReLLM

Large language models are powerful, but they forget everything between conversations—and when they do retain context, there's often no guardrail around who can see what. ReLLM solves both problems by providing secure long-term context for LLMs like ChatGPT, with context stored encrypted and user permissions baked directly into the system.

With ReLLM, the LLM only ever surfaces information that the specific user asking is actually authorized to see, making it a practical tool for building AI-powered products where data privacy and access control aren't optional. It's the kind of infrastructure layer that makes trustworthy, context-aware AI applications genuinely possible.