Knowledge commons

Open, structured knowledge with room for continual contribution.

The knowledge layer is where evidence, concepts, interpretations, and draft constructs are organized so contributors can build on prior work without losing provenance or coherence. It is also where memory, canon, and session structure can be made usable through products such as Corpus.

Content model

  • Claims
  • Evidence
  • Authority and source law
  • Analysis and commentary
  • Open questions and pending review

Knowledge governance

  • Attribution and revision history
  • Editorial review for canonical material
  • Public proposals for new research lanes
  • Transparent distinction between draft and adopted text

Corpus knowledge runtime

Corpus contributes a practical model for working with local knowledge: persistent conversation history, explicit learned memory, a small canon store, planning and explain previews, and schema-based session objects.

  • Session objects stored as first-class files
  • Learned memory that can be reviewed and cleared
  • Canon summaries and audit visibility
  • Typed intent parsing before execution

Editorial principle

The knowledge commons should feel expansive without becoming vague: strong concepts, clear structure, and enough review discipline that contributors know what is evidence, what is proposal, and what is adopted.