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Memory

Semantic memory

Semantic memory is compact stored information about important facts, preferences, or events that can be retrieved later because of meaning rather than raw message order.

Материалы ниже сохранены на языке исходников; мы не переводим их машинно без проверки.

Обновлено 2026-06-04Markdown-копия
Короткий ответ

In AI roleplay, semantic memory is useful when the app needs to preserve names, promises, relationship changes, locations, secrets, and unresolved plot points without replaying the whole transcript.

Простое объяснение

It is memory as meaning, not memory as every sentence. The app tries to save what matters for the next scene.

Semantic-memory terms connect privacy, memory quality, long roleplay, and paid-tier decisions.

OnlyKin should explain semantic memory as compact continuity, while being clear that memory also affects privacy expectations.

Источники

SpicyChat Semantic Memory 2.0 guideUsed for semantic memory as compact stored details from important conversation events.OnlyKin roleplay memory guideUsed for the continuity-first memory framing.
Связанные термины
Context windowLorebookPersonaToken
Связанные гайды
AI Roleplay Memory: Keeping Long Story Chats Coherent

Long AI story chats need continuity, but more context is not always better. The best memory systems separate recent turns, durable facts, lore, persona, and retrieved memories.

AI Roleplay Memory Stack: Character Cards, Personas, Lorebooks, and Summaries

Long AI roleplay works better when each memory layer has a clear job. Character cards define the role, personas define the user, lorebooks inject canon, and summaries preserve what changed.

AI Companion App Privacy Checklist: What to Check Before Sharing Chats, Photos, or Voice

AI companion chats can feel private because they feel intimate. The safer test is boring and practical: what data is collected, who can process it, what is used for training or QA, what payment data exists, and how deletion works.

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