How NeuroLink borrows from neuroscience to build an AI nervous system — neurons as LLM providers, pipes for token routing with built-in RAG, memory, and file processing, and organs as the applications that consume intelligence.

How NeuroLink's MCP auto-discovery dynamically finds and registers tools from any MCP server at runtime, plus the elicitation protocol that lets AI agents request missing capabilities on demand.

Build AI-powered frontends with NeuroLink's client SDKs featuring React hooks for streaming, a type-safe HTTP client, SSE and WebSocket transports, and a drop-in Vercel AI SDK adapter.

NeuroLink's 14 composable MCP enhancement modules turn raw Model Context Protocol into a production platform with intelligent tool routing, result caching, and request batching.

How NeuroLink's Claude Proxy pools multiple Anthropic accounts with OAuth 2.0 rotation, rate-limit failover, and subscription-aware routing for enterprise Claude access at scale.

How NeuroLink's Hippocampus memory system gives AI conversations persistent, per-user recall with LLM-powered condensation across Redis, SQLite, and S3 storage backends.

How NeuroLink uses Docusaurus to document a 13-provider AI SDK with 200+ exports. API reference generation, versioning, and developer experience.

Build a production content pipeline that generates 10K+ AI descriptions daily while keeping costs under control with NeuroLink.

A first-person narrative of going from a first issue to NeuroLink maintainer. Lessons on open-source contribution, code review culture, and growing as an engineer.

A deep dive into how NeuroLink scaled from 2 providers to 13 without a single switch statement. Registry/factory pattern, lazy loading, and the Open-Closed Principle.