Verified65% confidenceFactExact time
n8n supports multiple memory backends, including windowed buffer short-term memory, vector database-based long-term memory (such as Pinecone and Supabase Vector), and summary-based compressed memory.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
UnverifiedThe Memory node in n8n uses Window Buffer Memory by default.78% similarUnverifiedThe memory system in the Harness layer typically adopts a multi-level architecture: short-term memory uses a sliding-window conversation history, medium-term memory uses summarization compression techniques, and long-term memory uses vector databases (such as Pinecone, Milvus, and Chroma) for persistent storage.76% similarUnverifiedTencentDB Agent Memory采用四层渐进式记忆管道，将记忆处理拆解为原始信息捕获、结构化处理、语义压缩到长期沉淀多个阶段73% similarUnverifiedContiguous memory layout maximizes CPU cache hit rates and facilitates interfacing with underlying math libraries such as BLAS and LAPACK73% similarVerifiedAn agent's memory includes short-term memory (conversational context window, typically 4K–128K tokens), long-term memory (vector database), and procedural memory (intermediate state cache for tool calls).72% similar
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