This plugin builds and maintains a knowledge graph from agent conversations, replacing raw message history with structured nodes and edges to reduce context window usage. It implements dual-path recall combining vector/FTS5 search with graph traversal and PPR ranking for relevant knowledge retrieval. The system automatically detects communities within the knowledge graph and links related concepts across sessions, allowing agents to recall past solutions and learned skills.