The Mem0 Memory integration with Flowise enables persistent memory capabilities for your AI chatflows. Flowise is an open-source low-code tool for developers to build customized LLM orchestration flows & AI agents using a drag & drop interface.

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Overview

  1. 🧠 Provides persistent memory storage for Flowise chatflows
  2. 🔄 Seamless integration with existing Flowise templates
  3. 🚀 Compatible with various LLM nodes in Flowise
  4. 📝 Supports custom memory configurations
  5. ⚡ Easy to set up and manage

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Prerequisites

Before setting up Mem0 with Flowise, ensure you have:

  1. Flowise installed (NodeJS >= 18.15.0 required):
npm install -g flowise
npx flowise start
  1. Access to the Flowise UI at http://localhost:3000
  2. Basic familiarity with Flowise’s LLM orchestration concepts

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Setup and Configuration

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1. Set Up Flowise

  1. Open the Flowise application and create a new canvas, or select a template from the Flowise marketplace.
  2. In this example, we use the Conversation Chain template.
  3. Replace the default Buffer Memory with Mem0 Memory.

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2. Obtain Your Mem0 API Key

  1. Navigate to the Mem0 API Key dashboard.
  2. Generate or copy your existing Mem0 API Key.

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3. Configure Mem0 Credentials

  1. Enter the Mem0 API Key in the Mem0 Credentials section.
  2. Configure additional settings as needed:
{
  "apiKey": "m0-xxx",
  "userId": "user-123",  // Optional: Specify user ID
  "projectId": "proj-xxx",  // Optional: Specify project ID
  "orgId": "org-xxx"  // Optional: Specify organization ID
}

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Memory Features

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1. Basic Memory Storage

Test your memory configuration:

  1. Save your Flowise configuration
  2. Run a test chat and store some information
  3. Verify the stored memories in the Mem0 Dashboard

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2. Memory Retention

Validate memory persistence:

  1. Clear the chat history in Flowise
  2. Ask a question about previously stored information
  3. Confirm that the AI remembers the context

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Advanced Configuration

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Memory Settings

Available settings include:

  1. Search Only Mode: Enable memory retrieval without creating new memories
  2. Mem0 Entities: Configure identifiers:
    • user_id: Unique identifier for each user
    • run_id: Specific conversation session ID
    • app_id: Application identifier
    • agent_id: AI agent identifier
  3. Project ID: Assign memories to specific projects
  4. Organization ID: Organize memories by organization

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Platform Configuration

Additional settings available in Mem0 Project Settings:

  1. Custom Instructions: Define memory extraction rules
  2. Expiration Date: Set automatic memory cleanup periods

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Best Practices

  1. User Identification: Use consistent user_id values for reliable memory retrieval
  2. Memory Organization: Utilize projects and organizations for better memory management
  3. Regular Maintenance: Monitor and clean up unused memories periodically

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