⚡ NeuroHTTP — High-Performance AI-Native Web Server

"Redefining how AI APIs communicate with the web — built from scratch in C and Assembly."

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🚀 Overview

NeuroHTTP (codename: AIMux) is a next-generation web server purpose-built for AI workloads.

Unlike traditional servers such as Nginx, Apache, or Node.js, which were not optimized for AI’s unique I/O and data flow, NeuroHTTP is designed from the ground up to handle:

• 🧠 AI streaming responses (like ChatGPT’s long token-by-token replies)
• 📦 Massive JSON payloads and recurrent API calls
• ⚡ Concurrent AI model routing across multiple endpoints
• 🔌 Real-time communication using HTTP/3, WebSockets, and gRPC

Goal: Create the world’s first AI-native web server capable of serving real-time, high-throughput AI inference APIs efficiently.

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🎯 Why This Project Matters

• 🔥 No direct competitors exist for AI-optimized web servers today.
• 🧩 Built in C and Assembly, outperforming Node.js, Python, and Go under load.
• 🌍 The AI API economy is exploding (OpenAI, HuggingFace, LangChain, etc.).
• 🧑‍💻 Open-source friendly, enabling a developer community to grow around it.
• ⚙️ Designed for scale, both in terms of concurrency and extensibility.

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⚙️ Key Technical Features

Feature	Description
⚡ Smart Thread Pool	Dynamically distributes requests based on payload size and active models.
🧠 AI Stream Mode	Incremental response streaming over HTTP or WebSocket.
🧩 Assembly-Optimized JSON Parser	Blazing-fast parsing for large and nested AI payloads.
🔐 Token Quota + API Keys	Built-in security layer for developers and production APIs.
🛰️ gRPC & HTTP/3 Ready	Fully compatible with next-generation web protocols.
🧰 Plug-in System (C Modules)	Extend the server without recompilation.
📊 Telemetry & Metrics	Real-time stats: latency, throughput, memory footprint.

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🧱 Project Architecture

/neurohttp
├── src/
│ ├── main.c ← Entry point
│ ├── server.c ← Server core and thread pool
│ ├── parser.c ← HTTP & JSON parsing
│ ├── stream.c ← Streaming response management
│ ├── plugins.c ← Dynamic module system (C)
│ ├── asm/
│ │ ├── memcpy_fast.s
│ │ ├── json_tokenizer.s
│ │ └── crc32_asm.s
│ └── utils.c
├── include/
│ ├── server.h
│ ├── parser.h
│ ├── config.h
├── Makefile
├── README.md
└── tests/
└── test_requests.c

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🧰 Technologies Used

• Language: C99 / C11
• Low-level optimizations: x86 / x86_64 Assembly
• Networking: epoll (Linux) or libuv
• TLS: mbedtls or wolfSSL
• gRPC support: protobuf-c
• Build tools: make, cmake, clang

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🧠 Minimum Viable Product (MVP)

The first version focuses on simplicity and raw performance.

✅ Features

• Handles HTTP POST requests at /v1/chat
• Accepts JSON body containing { "prompt": "..." }
• Responds with { "response": "Hello, AI world!" }
• Supports chunked streaming responses
• Easily testable via curl

🧪 Example

curl -X POST http://localhost:8080/v1/chat -d '{"prompt":"Hello"}'

Expected output:

json

{"response": "Hello, AI world!"}

🚧 Roadmap

Phase Description Phase 1 Core HTTP server with streaming responses Phase 2 WebSocket support for AI streaming Phase 3 Optimized C/ASM JSON Parser Phase 4 Modular Plug-in System for custom extensions Phase 5 Open-source release with detailed benchmarks vs Nginx

📊 Benchmark Goals (Planned)

• Server 1K concurrent requests Avg Latency Memory (MB)
• NeuroHTTP (C/ASM) ✅ Target: 2ms 🚀 < 10
• Nginx ~8ms ⚡ 12
• Node.js (Express) ~15ms 🐢 60
• Flask (Python) ~30ms 🐢 120

💡 Vision

• The web was built for documents.
• Then came applications.
• Now it’s time for AI.

NeuroHTTP aims to redefine how AI models are served at scale, providing a native AI transport layer that’s fast, flexible, and open.

🧩 Example Use Cases

• Running AI chat models with streaming responses (like GPT, Claude, Mistral)

• Hosting LangChain or LLM orchestration pipelines

• Serving gRPC-based AI inference APIs

• Building multi-model routers for AI backends

🌍 Open Source Impact

Releasing NeuroHTTP on GitHub under the MIT License will attract:

Developer communities on Reddit, Hacker News, and GitHub

Early adoption by AI startups needing real-time serving

Collaboration similar to what happened with Caddy, Envoy, and Nginx

🔧 Installation (Soon)

git clone https://github.com/yourname/neurohttp.git
cd neurohttp
make
./neurohttp

🧑‍💻 Contributing

Contributions are welcome! Whether you want to optimize Assembly routines, design the plugin API, or test benchmarks — your help is appreciated.

Fork the repository

Create a new branch (feature/your-feature)

Submit a pull request

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🪪 License & Credits

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🪪 License

MIT License — free for both commercial and academic use.
See the full text in LICENSE.

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🧬 Author

👨‍💻 GUIAR OQBA 🇩🇿
Creator of NeuroHTTP — passionate about low-level performance, AI infrastructure, and modern web systems.

“Built in Algeria — Empowering the next generation of AI-native infrastructure.” 🇩🇿
© 2025 GUIAR OQBA. All rights reserved.

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⭐ Support the Project

If you believe in the vision of a fast, AI-native web layer,
please ⭐ the repository and share it — every star fuels the open-source ecosystem and helps NeuroHTTP grow.

💬 “Fast. Modular. AI-Native. That’s NeuroHTTP.”

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_{✨ Join the mission to redefine how the web talks to AI — one packet at a time.}