platform-operations/platform-knowledge
2026-02-28 22:28:49 -08:00
..
crystal-ai feat(content-strategy): Add DraftEditor, DraftStatusBadge, NamespaceKeyBrowser, and ScheduleDialog components plus update navigation config 2026-02-28 22:28:49 -08:00
shared feat(content-strategy): Add DraftEditor, DraftStatusBadge, NamespaceKeyBrowser, and ScheduleDialog components plus update navigation config 2026-02-28 22:28:49 -08:00
README.md feat(content-strategy): Add DraftEditor, DraftStatusBadge, NamespaceKeyBrowser, and ScheduleDialog components plus update navigation config 2026-02-28 22:28:49 -08:00

Platform Knowledge

Content verification, fact-checking, and knowledge management for the Lilith platform.

Structure

platform-knowledge/
├── crystal-ai/     Python AI — Crystal auditor, training pipeline, CLI
├── shared/         TypeScript config — service ports, URLs, shared constants
└── README.md

Components

crystal-ai/

The Crystal knowledge AI system. Scans platform documentation, generates training data, and provides the Crystal CLI for interactive fact verification.

  • Python packages: lilith-platform-knowledge (library) + crystal-cli (CLI)
  • Infrastructure: docker-compose.yml (crystal-redis + crystal-postgres)
  • Orchestration: run script (start/stop/status/infra/logs)
  • Models: Fine-tuned GGUF models for knowledge verification
  • Systemd: Production service units for API and training

shared/

TypeScript configuration shared across the monorepo. Service ports, URLs, and constants for the knowledge-verification API.

  • Knowledge Platform (upstream): ~/Code/@applications/@ml/knowledge-platform/
  • Client package: @lilith/knowledge-verification-client (published to Verdaccio)
  • Admin package: @lilith/knowledge-verification-admin
  • Crystal TUI launcher: tooling/run/cli/commands/crystal.ts (./run crystal)