NeuroLink

The pipe layer for the AI nervous system.

AI intelligence flows as streams — tokens, tool calls, memory, voice, documents. NeuroLink is the vascular layer that carries these streams from where they are generated (LLM providers: the neurons) to where they are needed (connectors: the organs).

import { NeuroLink } from "@juspay/neurolink";

const pipe = new NeuroLink();

// Everything is a stream
const result = await pipe.stream({ input: { text: "Hello" } });
for await (const chunk of result.stream) {
  if ("content" in chunk) {
    process.stdout.write(chunk.content);
  }
}

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🧠 What is NeuroLink?

NeuroLink is the universal AI integration platform that unifies 13 major AI providers and 100+ models under one consistent API.

Extracted from production systems at Juspay and battle-tested at enterprise scale, NeuroLink provides a production-ready solution for integrating AI into any application. Whether you're building with OpenAI, Anthropic, Google, AWS Bedrock, Azure, or any of our 13 supported providers, NeuroLink gives you a single, consistent interface that works everywhere.

Why NeuroLink? Switch providers with a single parameter change, leverage 64+ built-in tools and MCP servers, deploy with confidence using enterprise features like Redis memory and multi-provider failover, and optimize costs automatically with intelligent routing. Use it via our professional CLI or TypeScript SDK—whichever fits your workflow.

Where we're headed: We're building for the future of AI—edge-first execution and continuous streaming architectures that make AI practically free and universally available. Read our vision →

Get Started in <5 Minutes →

What's New (Q1 2026)

| Feature | Version | Description | Guide | | ----------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------- | | MCP Enhancements | v9.16.0 | Advanced MCP features: tool routing, result caching, request batching, annotations, elicitation, custom server base, multi-server management | MCP Enhancements Guide | | Memory | v9.12.0 | Per-user condensed memory that persists across conversations. LLM-powered condensation with S3, Redis, or SQLite backends. | Memory Guide | | Context Window Management | v9.2.0 | 4-stage compaction pipeline with auto-detection, budget gate at 80% usage, per-provider token estimation | Context Compaction Guide | | Tool Execution Control | v9.3.0 | prepareStep and toolChoice support for per-step tool enforcement in multi-step agentic loops. API-level control over tool calls. | API Reference | | File Processor System | v9.1.0 | 17+ file type processors with ProcessorRegistry, security sanitization, SVG text injection | File Processors Guide | | **RAG with generate()/stream

... View full README on GitHub