Unverified50% confidenceFactExact time
REKI embeds a cheap memory of its recent past within the model, rather than attaching a large external video understanding module.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAs interactions accumulate, raw historical records will exceed the model's context window limit, requiring periodic summarization or tiered storage for memory compression.66% similarUnverifiedContext rebuilding (re-summarizing historical conversation, re-fetching system instructions, re-assembling tool definitions) consumes a large number of tokens; once rebuilding exhausts the remaining budget, model output becomes noticeably shorter, gets truncated, or loses memory mid-reasoning.62% similarUnverified"Rebasing" means that when a report is rebuilt due to staleness, each assumption's baseline value is updated to the current live value, and the next comparison starts from there. This avoids error accumulation, at the cost of losing a global view of long-term drift.62% similarUnverifiedSome projects use external memory modules (such as vector databases storing summaries of historical states) to alleviate agent memory issues, but how to effectively compress and retrieve game states remains an open challenge.62% similarUnverifiedMost current memory systems equally pack all historical information into a vector store, losing the temporal structure of states.60% similar
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