neurolink

NeuroLink is described as the universal pipe layer for an AI nervous system. It unifies multiple AI providers and models behind a single, consistent API, enabling you to build streaming AI applications that can handle tokens, tool calls, memory, voice, and documents as continuous data streams. The server is designed to be used via a professional CLI or a TypeScript SDK, and it exposes a production-ready interface with multi-provider support, memory backends, and routing capabilities. When you run NeuroLink, you can leverage its built-in MCP servers and tools to orchestrate complex agentic flows, switch providers with a single parameter change, and route requests efficiently across providers and tools. Practically, you can use its stream()/generate() methods to drive weightless streaming interactions, perform tool invocations, manage memory per user, and embed or search across documents with RAG features. The documentation highlights a modular ecosystem with capabilities like memory management, context compaction, file processors, RAG, observability, server adapters, and event prompts for titles, all accessible through a coherent API surface and CLI commands.

Prerequisites:\n- Node.js (LTS version recommended) and npm installed on your machine\n- Basic familiarity with npm/npx commands\n\nInstallation steps:\n1) Verify Node.js and npm are installed:\n node -v\n npm -v\n\n2) Install NeuroLink via NPX (no global install required):\n npx -y @juspay/neurolink\n\n This will fetch the NeuroLink package and start the MCP server as configured. Alternatively, you can install the package locally:\n\n3) Local install (optional):\n npm install @juspay/neurolink\n // Then run it using your preferred script or node invocation, depending on how the package exposes its entry points.\n\n4) Verify installation:\n neurolink --version (if the CLI exposes a version) or check the running process logs to confirm the server started correctly.\n\nPrerequisites recap: Node.js, npm, familiarity with command-line tools. You may also want to review any provider API keys or environment variables required by NeuroLink for specific backends (e.g., memory backends, provider integration).

Tips and common considerations:\n- If you enable memory or RAG features, ensure you have storage backends configured (S3, Redis, SQLite) per your deployment environment.\n- When switching providers, NeuroLink supports a single parameter change to route requests to the chosen provider.\n- Review the official docs for server adapters (Hono, Express, Fastify, Koa) if you plan to expose NeuroLink via an HTTP API.\n- For production deployments, consider enabling observability with OpenTelemetry, and configure rate limits and retry strategies for remote MCP interactions.\n- Look for the CLI and SDK guides to understand event prompts (like NEUROLINK_TITLE_PROMPT) and how to customize prompts or memory handling.\n- Ensure environment variables for any required backend services (memory storage, tracing, or authentication) are properly set in your deployment environment.