HAINPRO maps the emerging protocol stack, compares what exists, identifies what is missing, and defines where HAINP fits as a policy-aware execution layer for hybrid AI-native systems across local, edge, private, and cloud environments.
HAINPRO should sit between architecture and productization. It maps the existing stack, compares overlapping layers, identifies the missing execution layer, and turns that gap into a disciplined HAINP program.
Track the protocol landscape across foundations, tools, agents, interaction, commerce, identity, observability, packaging, and governance.
Clarify where MCP, A2A, ACP, UCP, AP2, and adjacent standards complement one another rather than compete by default.
Explain why hybrid AI-native systems still need shared semantics for execution domains, locality, routing, fallback, portability, and audit continuity.
Introduces the system and provides the public top-level entry.
Defines the category and why this systems direction is emerging now.
Explains the structural language and architectural logic of hybrid AI-native systems.
Maps and specifies the protocol layer, including the gap that HAINP is intended to fill.
Operationalizes the system into adoption, productization, and future practical surfaces.
A layered map of the protocol ecosystem and how the stack is organizing.
A structured comparison of protocol roles, boundaries, and overlaps.
The most important missing semantics in today’s protocol stack.
The entry point for HAIN Protocol and its initial draft family.
Where core HAINP semantics are tested against real domains and capability tracks.
Glossary seeds, FAQ, references, and structured notes that support the program.
Priority 1: refine the atlas and comparison layers around the actual protocol stack.
Priority 2: publish the first HAINP drafts.
Priority 3: expand HAINAUTO as the first proving-ground profile.