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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).

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🧠 What is NeuroLink?

NeuroLink is the pipe layer of an AI nervous system. Providers — OpenAI, Anthropic, Google, AWS, Azure, Mistral, local runtimes like Ollama, and dozens more — are the neurons: each generates a different kind of intelligence, at a different cost and latency. NeuroLink is the vascular layer that carries that intelligence, as a stream, to the applications — the organs — that consume it, across three inference types: generate and stream produce text, decide produces a calibrated boolean/choice/score judgment instead. A curated model registry (64 models, 132 aliases) backs metadata, routing, and context-window checks out of the box, and hundreds more models are reachable through aggregator providers — 100+ via LiteLLM, 300+ via OpenRouter.

Extracted from production systems at Juspay, NeuroLink provides a practical, TypeScript-first way to plug any application into that nervous system. Switch which neuron answers a request with a single parameter change — OpenAI, Anthropic, Google, AWS Bedrock, Azure, a local runtime, or any provider you add. decide is the third inference type — a typed, calibrated judgment instead of text — for the model-routing and gating decisions generate/stream were never meant to make, powered by a purpose-built decision model (TypeSafe Jev, Perplexity's hosted Decisions API, Cloudflare's hosted Clef, Subquadratic's hosted SubQ Snap, OpenAI's hosted Decisions API, or the open-weights Laya or XOR) rather than a general-purpose LLM: with Jev, routing decisions land in ~400ms for about $0.00002, instead of a full generation call.

Why NeuroLink? Three genuine inference types, not one dressed up three ways — generate and stream produce text; decide produces a calibrated boolean/choice/score judgment, and which types a provider serves is declared per-provider via inferenceKinds rather than inferred from behavior. Every neuron plugs into the same pipe, including 3 fully local runtimes (Ollama, LM Studio, llama.cpp) with per-request credential overrides, and MCP support covers all 4 transports (stdio, HTTP, SSE, WebSocket). Every AI-driven optimization the pipe performs — model routing, context compaction, tool selection — fails open: no key configured behaves exactly like NeuroLink without it, and routing uses asymmetric confidence thresholds (upgrade at 0.3, downgrade at 0.6) rather than a single cutoff, because a wrong downgrade costs more than a wrong upgrade. Switch providers with a single parameter change, leverage built-in tools plus any MCP-compliant tool server, 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 Previous Updates

• Sharp image compression (v9.50.0) – Automatic image compression for AI providers via the sharp library; reduces upload bandwidth and bypasses provider size limits. • Redis URL/TLS (v9.49.0) – Redis URL-based connections with TLS support for secure conversation memory in production. • TaskManager (v9.41.0) – Scheduled and self-running AI tasks; cron-style execution with state checkpointing. • Multi-user memory retrieval (v9.40.0) – Per-user memory storage and retrieval with customizable prompts. • Evaluation Scoring (14 scorers) (v9.37.0) – Modular evaluation system with 14 scorers, pipelines, and CLI for offline quality assessment. • Browser-compatible bundle (v9.34.0) – Client-side SDK bundle for browser use; no Node.js dependency for the core API. • Per-call memory control (v9.33.0) – Read/write memory control per generate() and stream() call. • Server Adapters (v8.43.0) – HTTP server with Hono, Express, Fastify, Koa. Foreground/background modes, route management, OpenAPI generation. → Guide • External TracerProvider (v8.43.0) – Integrate NeuroLink with existing OpenTelemetry setups. → Guide • Title Generation Events (v8.38.0) – conversation:titleGenerated event + NEUROLINK_TITLE_PROMPT custom titles. → Guide • Video Generation with Veo (v8.32.0) – Video generation via Google Veo 3.1 on Vertex AI. 720p/1080p, portrait/landscape. → Guide • Image Generation (v8.31.0) – Native image generation with Gemini and Imagen models. → Guide • HTTP/Streamable HTTP Transport (v8.29.0) – Remote MCP servers via HTTP with auth headers, retry, rate limiting. → Guide • PPT Generation – 35 slide types, 5 themes, optional AI-generated images. Works across supported AI providers. → Guide • Structured Output with Zod – Type-safe JSON via schema + output.format: "json". → Guide • CSV & PDF File Support – Attach CSV/PDF with auto-detection. PDF: native visual analysis on Vertex, Anthropic, Bedrock, AI Studio. → CSV | PDF • LiteLLM, SageMaker & OpenRouter – 100+ models via LiteLLM, custom endpoints on SageMaker, 300+ via OpenRouter. → LiteLLM | SageMaker • HITL & Guardrails – Human-in-the-loop approval workflows and content filtering. → HITL | Guardrails • Redis Conversation Export – Export full session history as JSON for analytics and audit. → Guide

Decide: Calibrated Judgments, Not Text

**NeuroLink now supports decision models — a third inference type, served by hosted providers and by open-weights models you can run yourself.**…

Description from the npm listing.