Hebbrix
No-Code

No-Code Integrations

Connect Hebbrix to 6,000+ apps with zero code using Zapier or n8n. Add AI memory to your favorite tools in minutes.

Zapier

Connect to 6,000+ apps. No-code automation platform that connects apps together. If you've wished "when X happens in App A, do Y in App B" - that's what Zapier does.

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n8n

Open-source workflow automation. Self-hostable with more control over your data. Like Zapier but you can self-host it.

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Zapier Integration

Quick Start: Save Emails to Memory

Step 1: Create a New Zap

  1. 1. Open your Zapier account
  2. 2. Click Create Zap
  3. 3. Add Gmail as your trigger
  4. 4. Select New Email trigger

Step 2: Add Hebbrix Action

  1. 1. Click + to add an action
  2. 2. Search for Hebbrix
  3. 3. Select Create Memory action
  4. 4. Connect with your API key from Dashboard

Step 3: Map Your Data

FieldValue
Content{{subject}}: {{snippet}}
Source Typeemail
Importance0.7

Available Zapier Actions

Create Memory

Store any piece of information as a searchable memory.

Search Memories

Find relevant memories using AI-powered search.

Ask AI With Memory

Get AI responses that include relevant memories.

Update Memory

Modify existing memory content or metadata.

Example Zaps

Slack AI Assistant

Answer questions in Slack using your knowledge base.

SlackHebbrix: Ask AISlack

Meeting Notes Archive

Save Zoom transcripts automatically.

ZoomHebbrix: Create

Daily Digest

Get AI summaries of your memories.

ScheduleHebbrix: Ask AIEmail

n8n Integration

Installation

Recommended

Community Nodes

  1. 1. In n8n, go to Settings → Community Nodes
  2. 2. Click Install
  3. 3. Enter n8n-nodes-hebbrix
  4. 4. Click Install

Docker

Add to your environment variables:

bash
N8N_CUSTOM_EXTENSIONS: "n8n-nodes-hebbrix"

Using HTTP Request Node

For advanced use cases, use the HTTP Request node directly:

Create Memory
// Method: POST
// URL: https://api.hebbrix.com/v1/memories
// Authentication: Bearer Token → {{ $credentials.hebbrixApi.apiKey }}

// Body (JSON):
{
  "content": "{{ $json.emailContent }}",
  "source_type": "n8n",
  "importance": 0.7,
  "metadata": {
    "workflow": "email-capture"
  }
}
Search Memories
// Method: POST
// URL: https://api.hebbrix.com/v1/search

// Body (JSON):
{
  "query": "{{ $json.searchQuery }}",
  "search_type": "hybrid",
  "limit": 10
}

Hebbrix Node Operations

OperationDescription
CreateStore a new memory
Create ManyBatch create (up to 100)
GetRetrieve by ID
SearchAI-powered search
UpdateModify content/metadata
DeleteRemove a memory

Next Steps

Assistant

Ask me anything about Hebbrix