Conversation Summary Buffer Memory

🚀

Enhanced

Direct integration with Langfuse tracing

Use Flowise database table chat_message as the storage mechanism for storing/retrieving conversations.

This memory keeps a buffer of recent interactions and compiles old ones into a summary, using both in its storage. Instead of flushing old interactions based solely on their number, it now considers the total length of tokens to decide when to clear them out.

Input

Parameter	Description	Default
Chat Model	LLM used to perform summarization
Max Token Limit	Summarize conversations once token limit is reached	2000
Session Id	An ID to retrieve/store messages. If not specified, a random ID will be used.
Memory Key	A key used to format messages in prompt template	chat_history

Buffer Window Memory Conversation Summary Memory