Why I built StreamCtx: The hidden context problem in every LLM app
StreamCtx is an open-source, streaming context database designed to address the inefficiencies in building LLM applications. It aims to replace multiple tools like Redis and vector databases with a single layer that persists session state and streams conversation context in real-time. The goal is to improve performance and scalability by avoiding the repeated reconstruction of context for each LLM call. AI
IMPACT StreamCtx aims to streamline LLM application development by providing a unified solution for context management, potentially reducing development time and improving scalability.