Kenoki is a relationship intelligence tool that transforms meeting notes into a searchable network graph. After any conversation, users jot down a quick note; Kenoki extracts the person's identity, company, mutual contacts, stated needs, and how you connected, then stores these entities as nodes and edges in a local knowledge graph. Key capabilities include plain-language querying of the graph, bulk import of LinkedIn connections for instant seed data, and complete on-device processing that keeps sensitive relationship data private. The system supports bring-your-own AI providers or the free Ollama stack, ensuring zero ongoing cost. Users interact through a simple interface: type or paste a post-meeting note, watch Kenoki parse people, firms, and context, and immediately ask questions like "Who at Acme knows Sarah?" or "Which investors care about climate tech?" Results surface the relevant subgraph along with the original note snippets that justify each edge. Because everything runs locally, professionals in finance, brokerage, venture capital, and recruiting can maintain confidential deal flow, LP relationships, and candidate pipelines without exposing data to external services. The graph grows incrementally with every meeting, turning scattered memories into a navigable map of your network. Kenoki is free, open-source, and designed for desktop use. It requires no cloud account, offers optional AI-provider flexibility, and exports graphs in standard formats for backup or further analysis.