ZepMemoryCloud Memory

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Node Details

• Name: ZepMemoryCloud
• Type: ZepMemory
• Version: 2.0
• Category: Memory

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Base Classes

• ZepMemory
• (Additional base classes from ZepMemory)

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Parameters

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Credential

• Type: credential
• Credential Names: ZepMemoryApi

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Parameters

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Credential

• Type: credential
• Credential Names: ZepMemoryApi
• Description: JWT authentication for the Zep instance (Optional)

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Inputs

1. Session Id (optional)

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Inputs

1. Session Id (optional)

   • Type: string
   • Description: Unique identifier for the conversation session. If not specified, a random ID will be used
   • Description: Unique identifier for the conversation session. If not specified, a random ID will be used

2. Memory Type

   • Type: string
   • Default: “perpetual”
   • Options: “perpetual” or “message_window”
   • Description: Determines how the memory is managed - either maintaining all history or a limited window of messages
   • Description: Determines how the memory is managed - either maintaining all history or a limited window of messages

3. AI Prefix

   • Type: string
   • Default: “ai”
   • Description: Prefix used for AI messages in the conversation

4. Human Prefix

   • Type: string
   • Default: “human”
   • Description: Prefix used for human messages in the conversation

5. Memory Key

   • Type: string
   • Default: “chat_history”
   • Description: Key used to store and retrieve memory

6. Input Key

   • Type: string
   • Default: “input”
   • Description: Key used for input values in memory operations

7. Output Key

   • Type: string
   • Default: “text”
   • Description: Key used for output values in memory operations

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Functionality

The ZepMemoryCloud Memory node provides comprehensive memory management for AI conversations through the following features:

1. Memory Initialization: Sets up the Zep memory instance with specified configurations
2. Variable Management: Methods for loading and saving memory variables
3. Context Control: Functions to save context and clear memory as needed
4. Message Operations:
   • Retrieve chat messages
   • Add new messages to the conversation
   • Clear chat history
   • Dynamic session management with optional session ID override

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Use Cases

This node is particularly valuable for:

1. Long-running Conversations: Maintain context across multiple conversation turns
2. Information Retention: Store and summarize important details from past interactions
3. Context-aware Responses: Access relevant historical information to inform current responses
4. Flexible Memory Management:
   • Perpetual memory mode for complete history retention
   • Message window mode for maintaining recent context only

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Integration Notes

• Seamlessly connects with other nodes in AI workflows
• Compatible with various language models and chatbot systems
• Supports both stateful and stateless conversation management
• Provides flexible memory retrieval options for different use cases

The ZepMemoryCloud Memory node provides comprehensive memory management for AI conversations through the following features:

1. Memory Initialization: Sets up the Zep memory instance with specified configurations
2. Variable Management: Methods for loading and saving memory variables
3. Context Control: Functions to save context and clear memory as needed
4. Message Operations:
   • Retrieve chat messages
   • Add new messages to the conversation
   • Clear chat history
   • Dynamic session management with optional session ID override

​

Use Cases

This node is particularly valuable for:

1. Long-running Conversations: Maintain context across multiple conversation turns
2. Information Retention: Store and summarize important details from past interactions
3. Context-aware Responses: Access relevant historical information to inform current responses
4. Flexible Memory Management:
   • Perpetual memory mode for complete history retention
   • Message window mode for maintaining recent context only

​

Integration Notes

• Seamlessly connects with other nodes in AI workflows
• Compatible with various language models and chatbot systems
• Supports both stateful and stateless conversation management
• Provides flexible memory retrieval options for different use cases