Extract knowledge entities and relationships from a note or text, and store them in the personal knowledge graph. Accepts either raw text content or a file path to a Markdown/text file.

Answer a question using your personal knowledge graph. Retrieves relevant entities and relationships, then uses the LLM to reason over them. Supports shallow (1-hop) and deep (2-hop) retrieval modes.

While you are writing, surface related notes and ideas from your knowledge graph that you may have forgotten. Helps connect current work with past knowledge.

Discover hidden, non-obvious connections between knowledge entities from different domains. If a topic is given, finds connections related to that topic. Without a topic, scans the whole graph for cross-domain bridges.

Analyze a topic's coverage in your knowledge graph and identify blindspots, contradictions, and missing perspectives. Helps you understand what you don't know about a subject.

Analyze the overall structure of your knowledge graph. Generates a 'cognitive portrait' showing knowledge islands, bridge concepts, dense/sparse regions, and recommendations for improving knowledge connectivity.

Trace how your understanding of a concept has evolved over time. Shows a timeline of belief changes, key turning points, and what triggered each shift in understanding.

Deliberately spark creative inspiration by colliding concepts from two different knowledge domains. Like a digital serendipity engine — find unexpected connections that neither domain has explored alone.