A comprehensive, full-stack foundation for AI development using Node.js, TypeScript, and React. This repository scales from core asynchronous architecture and multi-threading building blocks to responsive web interfaces, advanced AI implementations, LLM integrations, and intelligent agent frameworks.
- Node.js Core Foundations: Master event loops, buffers, streams, and native worker threads.
- React Frontend Interfaces: Build interactive AI chat UIs, streaming text components, and real-time dashboards.
- TypeScript Excellence: Strictly typed full-stack architectures, custom hooks, and shared API contracts.
- AI & LLM Integration: Production-ready patterns for OpenAI, Anthropic, and open-source models.
- Advanced AI Patterns: Implementations for RAG systems, vector database clients, and structured JSON outputs.
- Autonomous Agents: Multi-agent orchestration, tool calling, and long-term memory management.
Track your progress through the core, frontend, and advanced AI layers of this project.
- Event Loop & Async Architecture: Deep dive into microtasks, macrotasks, and promises.
- Buffers & Streams: Handling large datasets and AI streaming data efficiently.
- Multi-threading: Offloading heavy data parsing using native
worker_threads. - TypeScript Integration: Setting up strict compilation, path aliases, and type safety across modules.
- Component Architecture: Designing clean, reusable UI components for AI interactions.
- State Management & Custom Hooks: Handling UI states, inputs, and asynchronous side-effects.
- Real-time Streaming UIs: Consuming Server-Sent Events (SSE) from the backend to stream LLM responses character-by-character.
- Full-Stack Type Sharing: Linking the frontend and backend models using a shared types package.
- SDK Orchestration: Implementing safe token management and fallback rules for popular LLM APIs.
- Structured Outputs: Forcing LLMs to return strict JSON matching your TypeScript interfaces.
- Vector Search & RAG: Setting up a vector database client to inject custom document context into prompt windows.
- Autonomous AI Agents: Building loops with tool-calling support so the AI can execute local code and fetch live data.
This project is configured as a monorepo workspace to manage frontend and backend code efficiently:
apps/api: Node.js/TypeScript backend runtime managing foundational concepts and AI pipelines.apps/web: React/TypeScript client interface handling interactive layouts and markdown rendering.packages/shared-types: Shared types and definitions used by both the client and server.
- Node.js (v18+ recommended)
- npm / pnpm / yarn
Clone the repository and install dependencies at the root level:
git clone https://github.com
cd node-neuron
npm installTo spin up both the backend API and frontend development servers concurrently:
npm run dev