Show HN: NeuroHTTP – AI HTTP server written in C/َAssembly (github.com)

NeuroHTTP (AIMux) is an open-source, AI-native web server built from scratch in C and x86/x86_64 Assembly, announced as a purpose-built transport layer for high-throughput AI inference APIs. Its core aim is to natively handle long token-by-token streaming responses, massive JSON payloads, recurrent API calls, and concurrent multi-model routing—use cases where traditional servers (Nginx, Apache, Node.js) weren’t optimized. The project is licensed MIT and positioned as the first server explicitly tuned for real-time AI workloads, inviting community contributions and early adoption by AI infra teams. Technically, NeuroHTTP focuses on raw performance: epoll/libuv networking on Linux, a smart thread pool that dispatches by payload and model load, an assembly-optimized JSON tokenizer/parser, and an AI Stream Mode for chunked HTTP/WebSocket streaming. It supports HTTP/3, gRPC (protobuf-c), TLS via mbedTLS or wolfSSL, a C-plugin system, and built-in telemetry and API key/token quotas. Early claims show sub-2ms target latency at 1k concurrent requests versus higher latencies for Nginx/Node/Flask, and a phased roadmap (core server → WebSockets → optimized parser → plugins → benchmarks). For teams building LLM routers, LangChain hosting, or low-latency inference APIs, NeuroHTTP promises a thinner, faster stack tailored to AI I/O patterns.