Open questions worth investigating, with possible directions.
[[Convergence and Divergence Across Agent Application Platforms]]⊙ — Where do the eleven application platforms genuinely differ in protocol requirements?
[[Cooperation vs Collaboration as Distinct Concepts]] — Same prefix, different roots — opus (the product) vs labor (the sweat) — and the distinction persists everywhere
[[Disclosure Spectrum as Discrete Tiers or Continuous Range]]⊙ — Should information sharing boundaries be discrete named tiers or a continuous spectrum?
[[Domains and Pattern Languages as Organizational Concepts]] — Pattern languages organize patterns by scale within a domain — are they a view, a subset, or something distinct?
[[Granularity of Progressive Authentication Stages]]⊙ — Do four discrete authentication levels capture the right trust boundaries for agent protocols?
[[Group Deliberation Mechanism]] — When an agent hits a group-deliberative boundary, what happens next — practically?
[[Living Document Scale Limits]] — Is there a ‘Dunbar number’ for living documents — a point where maintenance cost exceeds value?
[[Living Knowledge vs Static Archive in Agent Library Design]]⊙ — Does the Library platform collapse living knowledge and static archives into a single paradigm?
[[Organizing Principle for Agent Application Domains]]⊙ — What principle should organize the taxonomy of agent application domains?
[[Social Phase Decomposition in Trust-Building Protocols]]⊙ — Do six social phases capture the right decomposition of trust-building agent conversation?
[[Structured Schema vs Natural Language for Agent Message Content]]⊙ — Should agent protocol messages use natural language bodies or structured schemas?
[[Trust Layer Activation Criteria]] — When does a garden need signing, elision, and verified exchange — what triggers the trust layer?
[[When to Specify and When to Explore in Protocol Evolution]]⊙ — When should a protocol commit to specification details vs leave space for implementation discovery?
[[Gossip Duality Between Human Silence and Agent Noise]] — Gossip filtering produces silence for humans and noise for agents — same mechanism, opposing metrics
14 nodes in this section.