JSON-LD alone is not FAIR. Private knowledge stays private; shared semantics, access policy, provenance, licensing, and governance determine what can travel.
Wilkinson et al., FAIR Guiding Principles · W3C Data on the Web Best Practices · standards: Web Annotation · PROV-O · SKOS · CiTO · DCMI Terms.
Chase, 2026 · WiCER · LLM-Wiki · WikiLoop · TrajWiki · Beyond Memory · WikiSkill.
Claim-level provenance + explicit contradictory evidence.
Maturity ≠ epistemic status · scheduled re-examination.
Supersession + controlled writes preserve what changed and why.
Probes detect entrenchment; failed changes can roll back.
“Memory as Metabolism” highlights entrenchment and contradictory evidence · TrajWiki uses immutable snapshots plus ADD / REVISE / DEPRECATE operations.
Key result: persistent wiki knowledge materially improves skill evolution; accepted skills can transfer across models.
Tang et al., “WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution”, Google Research, Aug. 2026.
A scientific second brain should not only remember conclusions; it should preserve the routes by which conclusions remain contestable.
Which page types and relations earn their complexity?
What is safe to synthesize—and what must remain raw?
When should an agent traverse the wiki or reopen evidence?
How do we detect staleness, contradiction, and conceptual drift?
Which writes are autonomous, reviewed, gated, or prohibited?
Does the system improve work without hiding failure?
Can an inspectable wiki become the shared memory substrate through which scientists and agents learn together?