knowledge-ops

Build a persistent knowledge graph from session findings by ingesting ephemeral data using standard knowledge unit templates that enforce frontmatter-defined identity, linked relationships, and confidence tracking to consolidate intelligence over time.

Confidence history tracking in knowledge graphs records the evolving reliability of linked entities over time, applying decay rules to older intelligence so you can review knowledge units based on current validity.

You can export knowledge graphs for cross-session intelligence reports using flexible export capabilities, enabling rapid synthesis, pattern recognition, and recall across engagements like OSINT or deep research.

Knowledge graph session persistence works across OSINT, codebase onboarding, social intelligence, and deep research by linking knowledge units across engagements to maintain structured intelligence continuity.

The best way to link knowledge units across engagements is to enforce frontmatter-defined identity and linked relationships, allowing cross-session pattern recognition and rapid synthesis for intelligence reports.

Query existing memory before ingesting new findings by loading prior knowledge graphs at session start, then applying standard knowledge unit templates to integrate new data with existing linked relationships and confidence histories.