Simple Memory
A built-in conversation memory node in n8n that stores conversation history in memory without requiring external database configuration, and controls the number of context turns through the Context Window Length parameter.
Timeline (last 90 days)
After adding the Simple Memory node in n8n, the Agent will automatically carry the most recent five historical messages to achieve context association.
In n8n, adding a Simple Memory node for an AI Agent solves the memory problem, and attaching the built-in Web Search tool allows it to obtain real-time information.
n8n's Simple Memory node stores conversation history in memory, requiring no external credentials or database configuration, and its Context Window Length parameter is set to 5 turns by default.
Simple Memory's data is lost after the workflow restarts.
n8n's Simple Memory node by default retains the conversation context of the most recent 5 messages.
Simple Memory can be replaced with a Redis- or PostgreSQL-based storage solution to achieve persistent cross-session memory.
n8n's Simple Memory module uses a sliding window mechanism, retaining only the most recent N rounds of conversation messages and passing them into the model context.
Simple Memory temporarily stores context in server memory, and data will be lost after a restart; production-grade solutions typically persist data to external databases such as PostgreSQL or Redis.
n8n's Simple Memory node maintains conversation history locally and is the most lightweight solution for implementing stateful conversations.
chat-recall supports AI assistants searching historical conversation records on their own, supplementing them with memory continuity across sessions and tools
All Facts (10)
After adding the Simple Memory node in n8n, the Agent will automatically carry the most recent five historical messages to achieve context association.
50%UnverifiedIn n8n, adding a Simple Memory node for an AI Agent solves the memory problem, and attaching the built-in Web Search tool allows it to obtain real-time information.
50%Unverifiedn8n's Simple Memory node stores conversation history in memory, requiring no external credentials or database configuration, and its Context Window Length parameter is set to 5 turns by default.
50%UnverifiedSimple Memory's data is lost after the workflow restarts.
50%Unverifiedn8n's Simple Memory node by default retains the conversation context of the most recent 5 messages.
50%UnverifiedSimple Memory can be replaced with a Redis- or PostgreSQL-based storage solution to achieve persistent cross-session memory.
50%Unverifiedn8n's Simple Memory module uses a sliding window mechanism, retaining only the most recent N rounds of conversation messages and passing them into the model context.
50%UnverifiedSimple Memory temporarily stores context in server memory, and data will be lost after a restart; production-grade solutions typically persist data to external databases such as PostgreSQL or Redis.
50%Unverifiedn8n's Simple Memory node maintains conversation history locally and is the most lightweight solution for implementing stateful conversations.
50%Unverifiedchat-recall supports AI assistants searching historical conversation records on their own, supplementing them with memory continuity across sessions and tools
50%