Unverified50% confidenceFactExact time
Locomo (Long-Context Memory) focuses on evaluating cross-session contextual coherence and temporal reasoning
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedConversational recall benchmarks such as LoCoMo and LongMemEval measure question-answering ability over conversation history, rather than whether memory has changed the actual behavior of tool-using agents.76% similarUnverifiedShort-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.71% similarUnverifiedProduction-grade agents need to distinguish between short-term memory (current session context) and long-term memory (cross-session user preferences and historical facts).70% similarUnverifiedLong-term memory evaluation benchmarks (such as LongMemEval and the MemGPT benchmark) assess five dimensions: single-hop information extraction, cross-session reasoning, knowledge updating, temporal reasoning, and abstention judgment.68% similarVerifiedThe process of organizing a mind map is an act of Active Recall, which is more effective than passively reviewing notes.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/947379API
curl https://kongchang.com/api/v1/knowledge/claims/947379MCP
get_claim(id=947379)