Unverified50% confidenceFactExact time
Window Buffer Memory avoids exceeding the model's token limit by retaining only the most recent N rounds of conversation.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedShort-term memory generally retains the raw content of the most recent 5–10 conversation turns and triggers a compression summary when the threshold is exceeded.73% similarUnverifiedMemories saved via /memory are automatically retained in every future session without requiring manual maintenance.72% similarUnverifiedThe three most common strategies for persisting conversation history are Window Buffer Memory, Summary Memory, and Vector Store Memory.72% similarUnverifiedThe context management layer handles information compression, history trimming, and memory retrieval during long tasks to avoid exceeding the model's context window69% similarUnverifiedThe memory summarization mechanism periodically compresses multiple historical interactions into structured short summaries, reducing token consumption while preserving core insights.68% similar
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