Researcher-builder working on protocol drafts and infrastructure components for multimodal and agentic AI systems.

My focus is on portable AI objects, execution integrity, resource governance, and machine-checkable evidence. The work sits between research and infrastructure: turning protocol ideas into specifications, repositories, and operational tooling.

• digital-biosphere-architecture - architecture overview for the Digital Biosphere ecosystem.
• verifiable-dpp-agent-demo - runnable end-to-end demo: DPP object -> agent result -> audit record -> MVK input -> public evidence summary.
• Narrative spine: Digital Biosphere -> Verifiable Digital Objects -> Execution Integrity

Persona Layer    -> Persona Object Protocol (POP)
Agent Layer      -> Agent Object Protocol (AOP)
Data Space Layer -> RedRock OpenDPP
Audit Layer      -> ARO-Audit
Proof Kernel     -> MVK

Supporting governance:

Resource Governance -> Token Governor

• digital-biosphere-architecture - architecture overview and ecosystem entry point.
• redrock-opendpp-core - DPP-style object model and integrity core.
• fdo-kernel-mvk - minimal verification kernel.
• token-governor - token, cost, and resource governance tooling for AI systems.
• persona-object-protocol - POP for portable persona objects in multimodal and agentic AI systems.
• agent-object-protocol - AOP for portable and executable agent objects.
• aro-audit - audit, provenance, and execution integrity for AI runs.

The direction is not a set of isolated repositories, but an infrastructure path:

protocol -> SDK -> plugin -> framework integration -> ecosystem visibility

Current and planned ecosystem touchpoints include:

• LangChain
• LangGraph
• future framework adapters

• ORCID: https://orcid.org/0009-0002-8861-1481
• Concept DOI: https://doi.org/10.5281/zenodo.18898251
• Version DOI: https://doi.org/10.5281/zenodo.18898252

• POP integration in the LangChain ecosystem
• protocol-by-artifacts and machine-checkable evidence
• runtime integrity and governance for AI agents