NeuroLink supports multiple AI providers with flexible authentication methods. This guide covers complete setup for all supported providers. NeuroLink ships 40 providers in total. This guide walks through full environment-variable setup for the providers below; the complete roster — including...
40 providers supported — validated in CI where credentials are configured (unconfigured providers are skipped): OpenAI, Anthropic, Google AI, Google Vertex, AWS Bedrock, Azure OpenAI, Mistral, Hugging Face, Ollama, LiteLLM, AWS SageMaker, OpenAI-compatible, OpenRouter, DeepSeek, NVIDIA NIM, LM...
Complete setup guides for all supported AI providers with configuration examples
Automatically classify each request and route it to the right model (and tool set) from a configurable base pool — cheaper/faster models for easy tasks, more capable models for hard ones
Automatic context window management that prevents overflow errors and maintains conversation quality as sessions grow longer
Generate vector embeddings for semantic search, RAG pipelines, and similarity comparison using OpenAI, Google AI Studio, Google Vertex, and Amazon Bedrock
Many AI applications need to compare text semantically -- finding similar documents, powering search, clustering content, or building recommendation systems. Raw text comparison (string matching) misses synonyms, paraphrases, and conceptual similarity.
Common questions and answers about NeuroLink usage, configuration, and troubleshooting. A: NeuroLink is an enterprise AI development platform that provides unified access to multiple AI providers (OpenAI, Google AI, Anthropic, AWS Bedrock, etc.) through a single SDK and CLI. It includes...
Get up and running quickly with NeuroLink — the Enterprise AI Development Platform with 40 providers, voice (TTS/STT/realtime), MCP support, and professional CLI.
Last Updated: January 10, 2026 NeuroLink Version: 8.32.0 Run AI-powered workflows with 40 providers directly in GitHub Actions. The NeuroLink GitHub Action enables automated code review, issue triage, content generation, and more.
NeuroLink offers a simpler, more production-ready alternative to LangChain with these key advantages: | Benefit | LangChain | NeuroLink |
While Vercel AI SDK is excellent for Next.js applications, NeuroLink offers broader capabilities for enterprise and multi-framework applications: | Benefit | Vercel AI SDK | NeuroLink |
Step-by-step guides for migrating to NeuroLink from other AI SDKs and frameworks
Enterprise AI Development Platform - Universal provider support, MCP integration, and professional CLI
Make NeuroLink's 360+ documentation pages queryable by AI assistants via MCP. Search docs, get pages, browse API reference — all from Claude Desktop, Cursor, VS Code, or any MCP-compatible client.
Comprehensive guides for enterprise deployment, framework integration, and production patterns
NeuroLink supports 40 AI providers through a unified API. This page highlights the most commonly-configured text providers — see the README provider table and the Provider Capabilities Audit for the full matrix, including newer text providers (DeepSeek, NVIDIA NIM, LM Studio, llama.cpp, plus...
NeuroLink provides built-in RAG (Retrieval-Augmented Generation) for document-grounded AI responses. The simplest way to use RAG: NeuroLink automatically:
Guide for using the NeuroLink SDK and CLI. Invoke when users ask how to use neurolink, integrate AI providers, add MCP tools, configure RAG, set up memory, deploy servers, or work with multimodal content. Covers SDK, CLI, providers, tools, and enterprise features.
The Future of AI: Edge-first execution and continuous streaming architectures When LLMs run on user devices or regional edge, compute is free. Storage is free. Inference is free.
Capability audit for the 13 text/multimodal AI providers historically tracked in this matrix. NeuroLink ships 40 providers in total — the additional providers added since this audit was first written (DeepSeek, NVIDIA NIM, LM Studio, llama.cpp, xAI, Groq, Cerebras, SambaNova, Together AI,...
Last Updated: 2025-12-31 Test Suite: continuous-test-suite.ts (19 comprehensive tests) Providers Tested: 11 providers across CSV, PDF, MCP tools, business tools, and enterprise features
Adaptive provider and model selection with intelligent fallbacks based on task classification
Updated: January 20, 2025 Status: COMPLETE SUCCESS — 9/9 providers verified working at the time of writing Objective: Complete provider testing after resolving critical configuration bug
NeuroLink is built around a biological metaphor — not as decoration, but as a structural model that governs every architectural decision. Neurons are where intelligence is generated. In NeuroLink, neurons are the 40 AI providers, including: Anthropic, OpenAI, Google (AI Studio + Vertex), AWS...
Learn how to configure and use vector stores for semantic search in RAG pipelines. Vector stores are the backbone of semantic search in RAG (Retrieval-Augmented Generation) systems. They store document embeddings and enable fast similarity search to find relevant content for your queries.