The latest articles on DEV Community by Sneh R Joshi (@streamctx). https://dev.to/streamctx https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3982588%2Fc1511702-21c3-4a3e-95f5-af77dfdbc4f9.png https://dev.to/streamctx en Sneh R Joshi Sat, 13 Jun 2026 11:50:05 +0000 https://dev.to/streamctx/why-i-built-streamctx-the-hidden-context-problem-in-every-llm-app-2e9p https://dev.to/streamctx/why-i-built-streamctx-the-hidden-context-problem-in-every-llm-app-2e9p <p>Every LLM app I've built has the same broken pattern.</p> <p>Request comes in - reconstruct context from scratch - call LLM - throw context away.<br> It's wasteful, slow and breaks at scale.</p> <h2> The Problem </h2> <p>Most developers building ai app end up stitching together Redis, vector database and custom middleware just to give their app basic memory.</p> <p>It's fragile. It doesn't scale. And every team reinvents the same glue code.</p> <h2> What StreamCtx does </h2> <p>StreamCtx is a streaming context database built specifically for LLM applications.</p> <ul> <li>Streams conversation context in real-time</li> <li>Persists session state across requests</li> <li>Replaces 3-5 tools with one clean layer</li> </ul> <p>Open Source. MIT/Apache 2.0 Licensed.<br> solo founder.</p> <p><a href="https://github.com/streamctx" rel="noopener noreferrer">https://github.com/streamctx</a></p> <p>Feedback and beta users welcome!</p> ai opensource python llm