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#1	---
#2	title: Flowise
#3	---
#4
#5	The [Mem0 Memory](https://github.com/mem0ai/mem0) integration with [Flowise](https://github.com/FlowiseAI/Flowise) enables persistent memory capabilities for your AI chatflows. [Flowise](https://flowiseai.com/) is an open-source low-code tool for developers to build customized LLM orchestration flows & AI agents using a drag & drop interface.
#6
#7	## Overview
#8
#9	1. Provides persistent memory storage for Flowise chatflows
#10	2. Seamless integration with existing Flowise templates
#11	3. Compatible with various LLM nodes in Flowise
#12	4. Supports custom memory configurations
#13	5. Easy to set up and manage
#14
#15	## Prerequisites
#16
#17	Before setting up Mem0 with Flowise, ensure you have:
#18
#19	1. [Flowise installed](https://github.com/FlowiseAI/Flowise#⚡quick-start) (NodeJS >= 18.15.0 required):
#20	```bash
#21	npm install -g flowise
#22	npx flowise start
#23	```
#24
#25	2. Access to the Flowise UI at http://localhost:3000
#26	3. Basic familiarity with [Flowise's LLM orchestration](https://flowiseai.com/#features) concepts
#27
#28	## Setup and Configuration
#29
#30	### 1. Set Up Flowise
#31
#32	1. Open the Flowise application and create a new canvas, or select a template from the Flowise marketplace.
#33	2. In this example, we use the Conversation Chain template.
#34	3. Replace the default Buffer Memory with Mem0 Memory.
#35
#36	![Flowise Memory Integration](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/flowise-flow.png)
#37
#38	### 2. Obtain Your Mem0 API Key
#39
#40	1. Navigate to the [Mem0 API Key dashboard](https://app.mem0.ai/dashboard/api-keys).
#41	2. Generate or copy your existing Mem0 API Key.
#42
#43	![Mem0 API Key](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/api-key.png)
#44
#45	### 3. Configure Mem0 Credentials
#46
#47	1. Enter the Mem0 API Key in the Mem0 Credentials section.
#48	2. Configure additional settings as needed:
#49
#50	```typescript
#51	{
#52	"apiKey": "m0-xxx",
#53	"userId": "user-123", // Optional: Specify user ID
#54	"projectId": "proj-xxx", // Optional: Specify project ID
#55	"orgId": "org-xxx" // Optional: Specify organization ID
#56	}
#57	```
#58
#59	<figure>
#60	<img src="https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/creds.png" alt="Mem0 Credentials" />
#61	<figcaption>Configure API Credentials</figcaption>
#62	</figure>
#63
#64	## Memory Features
#65
#66	### 1. Basic Memory Storage
#67
#68	Test your memory configuration:
#69
#70	1. Save your Flowise configuration
#71	2. Run a test chat and store some information
#72	3. Verify the stored memories in the [Mem0 Dashboard](https://app.mem0.ai/dashboard/requests)
#73
#74	![Flowise Test Chat](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/flowise-chat-1.png)
#75
#76	### 2. Memory Retention
#77
#78	Validate memory persistence:
#79
#80	1. Clear the chat history in Flowise
#81	2. Ask a question about previously stored information
#82	3. Confirm that the AI remembers the context
#83
#84	![Testing Memory Retention](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/flowise-chat-2.png)
#85
#86	## Advanced Configuration
#87
#88	### Memory Settings
#89
#90	![Mem0 Settings](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/settings.png)
#91
#92	Available settings include:
#93
#94	1. Search Only Mode: Enable memory retrieval without creating new memories
#95	2. Mem0 Entities: Configure identifiers:
#96	- `user_id`: Unique identifier for each user
#97	- `run_id`: Specific conversation session ID
#98	- `app_id`: Application identifier
#99	- `agent_id`: AI agent identifier
#100	3. Project ID: Assign memories to specific projects
#101	4. Organization ID: Organize memories by organization
#102
#103	### Platform Configuration
#104
#105	Additional settings available in [Mem0 Project Settings](https://app.mem0.ai/dashboard/project-settings):
#106
#107	1. Custom Instructions: Define memory extraction rules
#108	2. Expiration Date: Set automatic memory cleanup periods
#109
#110	![Mem0 Project Settings](https://raw.githubusercontent.com/FlowiseAI/FlowiseDocs/main/en/.gitbook/assets/mem0/mem0-settings.png)
#111
#112	## Best Practices
#113
#114	1. User Identification: Use consistent `user_id` values for reliable memory retrieval
#115	2. Memory Organization: Utilize projects and organizations for better memory management
#116	3. Regular Maintenance: Monitor and clean up unused memories periodically
#117
#118	<CardGroup cols={2}>
#119	<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
#120	Build LangChain-powered flows with memory
#121	</Card>
#122	<Card title="Dify Integration" icon="blocks" href="/integrations/dify">
#123	Create AI workflows with Dify platform
#124	</Card>
#125	</CardGroup>
#126
#127

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