Definition
Persistent AI Memory does not dump all chat history into context. It extracts key memories, labels them, ranks them, and injects the relevant ones into prompts.
Persistent AI Memory saves and retrieves important facts, preferences, promises, and relationship milestones across sessions.
Persistent AI Memory does not dump all chat history into context. It extracts key memories, labels them, ranks them, and injects the relevant ones into prompts.
persistent AI memory / long-term AI memory / relationship memory
The moat of a long-term relationship product is memory: first meetings, preferences, boundaries, conflicts, and reconciliations make the relationship feel continuous.
A conversation is summarized and extracted into memory. Before the next chat, the system filters by semantic relevance, recency, importance, and relationship stage.
For AI characters, the most important memory is not isolated facts but how facts change the relationship: intimacy, trust, misunderstanding, promises, and unresolved events.
It can if raw history is dumped in. The better approach is retrieval and ranking, loading only the few memories that matter now.