Adverant Nexus for n8n

Enterprise AI Agents with Memory • Knowledge Management • Multi-Agent Orchestration

The only n8n integration that gives your AI agents persistent memory,
graph-enhanced knowledge retrieval, and enterprise-grade orchestration.

Get Started Free → • Documentation • Examples • Discord

Why Nexus?

The Problem with AI Automation Today

Most AI automation tools have a critical flaw: your agents forget everything the moment a workflow ends.

Built for AI Agents That:

• Remember — Past interactions inform future responses
• Reason — Query your entire knowledge base, not just recent context
• Collaborate — Multiple specialized agents working together
• Scale — From prototype to enterprise without replatforming

Architecture

graph TB
    subgraph "n8n Workflow"
        T[Trigger] --> N[Nexus Node]
        N --> R[Response]
    end

    subgraph "Adverant Nexus Platform"
        N --> API[Nexus API Gateway]
        API --> GR[GraphRAG Engine]
        API --> MA[MageAgent Orchestrator]
        API --> SP[Specialized Services]

        GR --> VS[(Vector Store)]
        GR --> KG[(Knowledge Graph)]
        GR --> ES[(Episodic Memory)]

        MA --> A1[Research Agent]
        MA --> A2[Analysis Agent]
        MA --> A3[Synthesis Agent]

        SP --> GEO[GeoAgent]
        SP --> LAW[NexusLaw]
        SP --> MED[NexusDoc]
        SP --> SEC[CyberAgent]
        SP --> VID[VideoAgent]
    end

    style GR fill:#4DB8D8,color:#fff
    style MA fill:#007AFF,color:#fff
    style SP fill:#5F6368,color:#fff

Core Capabilities

GraphRAG Knowledge Base

Free for open source users — 500 docs/month, no credit card required

Your AI agents finally remember. Store documents once, retrieve intelligently forever.

• Semantic Search — Find by meaning, not just keywords
• Graph Relationships — Understand how concepts connect
• Episodic Memory — Remember conversation context across sessions
• Multi-Modal — Text, PDFs, images, and structured data

MageAgent Orchestration

Multi-agent AI that actually works together

Spawn specialized agents that collaborate, compete, or work in parallel—with shared memory and coordinated goals.

11 Specialized AI Services

Quick Start

1. Install the Node

Via n8n Community Nodes (Recommended)

Settings → Community Nodes → Install → n8n-nodes-adverant-nexus

Via npm (Self-hosted)

cd ~/.n8n/custom && npm install n8n-nodes-adverant-nexus

Via Docker

environment:
  - N8N_CUSTOM_EXTENSIONS=/home/node/.n8n/custom
volumes:
  - ./custom:/home/node/.n8n/custom

2. Get Your Free API Key

1. Sign up at dashboard.adverant.ai
2. Create an API key (starts with nx_live_ or nx_test_)
3. GraphRAG is free — no credit card required

3. Add Credentials in n8n

1. Go to Credentials → Add Credential
2. Search for Adverant Nexus API
3. Enter your API key and select environment
4. Click Save

How It Works

sequenceDiagram
    participant W as n8n Workflow
    participant N as Nexus Node
    participant G as GraphRAG
    participant M as MageAgent
    participant S as Services

    W->>N: User Query
    N->>G: Retrieve Context
    G-->>N: Relevant Knowledge + Memory
    N->>M: Orchestrate Agents
    M->>S: Delegate to Specialists
    S-->>M: Domain Insights
    M-->>N: Synthesized Response
    N->>G: Store New Memory
    N-->>W: Final Response

Example Workflows

Customer Support with Memory

graph LR
    A[Customer Message] --> B[Recall Memory]
    B --> C[Search Knowledge Base]
    C --> D[Generate Response]
    D --> E[Store Interaction]
    E --> F[Send Reply]

What this enables:

• Support agent remembers past conversations
• Retrieves relevant docs automatically
• Learns from every interaction

{
  "nodes": [
    {
      "name": "Recall Customer History",
      "type": "n8n-nodes-adverant-nexus.adverantNexus",
      "parameters": {
        "service": "graphrag",
        "operation": "recallMemory",
        "query": "={{ $json.customer_id }}",
        "limit": 10
      }
    },
    {
      "name": "Search Knowledge Base",
      "type": "n8n-nodes-adverant-nexus.adverantNexus",
      "parameters": {
        "service": "graphrag",
        "operation": "search",
        "query": "={{ $json.message }}",
        "limit": 5
      }
    }
  ]
}

Download Full Workflow →

AI Research Assistant

graph LR
    A[Research Query] --> B[MageAgent Orchestrate]
    B --> C[Research Agent]
    B --> D[Analysis Agent]
    B --> E[Writing Agent]
    C --> F[Synthesize]
    D --> F
    E --> F
    F --> G[Final Report]

What this enables:

• Multiple agents research in parallel
• Specialized roles (researcher, analyst, writer)
• Collaborative synthesis of findings

{
  "service": "mageagent",
  "operation": "orchestrate",
  "task": "Research the impact of AI on healthcare and provide a comprehensive analysis with recommendations",
  "maxAgents": 5,
  "context": {
    "outputFormat": "detailed_report",
    "includeSourceCitations": true
  }
}

Download Full Workflow →

Document Processing Pipeline

graph LR
    A[Upload Document] --> B[FileProcess Extract]
    B --> C[GraphRAG Store]
    C --> D[Auto-Tag & Index]
    D --> E[Available for Search]

What this enables:

• Automatic document ingestion
• Intelligent chunking and indexing
• Instant searchability

{
  "service": "fileprocess",
  "operation": "submitUrl",
  "fileUrl": "https://example.com/document.pdf",
  "filename": "quarterly-report.pdf",
  "options": {
    "extractTables": true,
    "preserveFormatting": true
  }
}

Download Full Workflow →

Webhook Triggers

Real-time event notifications for all services:

How Nexus Compares

✅ Full support • ⚠️ Limited/workaround • ❌ Not available

Pricing

All plans include: API access, webhook triggers, community support

View Full Pricing →

Complete Operations Reference

Support & Resources

Contributing

We welcome contributions! Please read our Contributing Guide for details on:

• Setting up your development environment
• Code style and commit conventions
• Adding new services and operations
• Submitting pull requests

Security

Found a vulnerability? Please report it responsibly via SECURITY.md or email security@adverant.ai.

License

MIT License — see LICENSE for details.

Built with ❤️ by Adverant AI

Giving AI agents the memory they deserve.