Independent researcher exploring governance infrastructure for AI agents.
My work focuses on how autonomous AI systems can become:
- Identifiable (persona layer)
- Observable (execution trace)
- Auditable (evidence records)
- Governable (runtime control)
Minimal research architecture for auditable AI agents.
flowchart TD
A[Persona Layer<br>POP] --> B[Agent Runtime]
B --> C[Execution Trace]
C --> D[Audit Evidence<br>ARO]
D --> E[Governance Controls<br>Token Governor]
Portable persona layer for AI agents.
https://github.com/joy7758/persona-object-protocol
Evidence generation and audit records for agent execution.
https://github.com/joy7758/aro-audit
Runtime token cost and policy control for AI agents.
https://github.com/joy7758/token-governor
Minimal end-to-end governance pipeline demo.
https://github.com/joy7758/verifiable-agent-demo
Current focus:
- AI Agent Observability
- Agent Governance Architecture
- Verifiable Agent Execution
- Digital Object Infrastructure (FDO)
GitHub discussions and issues welcome.


