Description
Chatbots forget everything the user said when a new session starts, and building memory yourself means a vector store and retrieval logic. Memlayer adds persistent memory to any LLM in three lines of code, recalling context across conversations, extracting structured knowledge and surfacing it when relevant.
It combines vector search with a knowledge graph, offers several memory modes and search tiers, and supports OpenAI and other providers.
Plug and play:Three lines around your model calls.
Cross-session memory:Remembers preferences and history.
Knowledge extraction:Structured facts from conversations.
Search tiers:Trade speed for depth.
It combines vector search with a knowledge graph, offers several memory modes and search tiers, and supports OpenAI and other providers.
Features
Plug and play:Three lines around your model calls.
Cross-session memory:Remembers preferences and history.
Knowledge extraction:Structured facts from conversations.
Search tiers:Trade speed for depth.
