AI agent tooling and plugin architecture — structured context, permissions, and evidence capture for autonomous systems.
AgentPlugin is infrastructure for deploying AI agents into production workflows with defined authority, context boundaries, and evidence capture. It provides the plugin architecture, permission system, and audit trail that make autonomous systems safe, auditable, and governable — answering the question: what can this agent do, what must it report, and when does a human need to review?
AI agents are capable of taking actions — sending messages, updating records, triggering workflows, making decisions. But most businesses deploy them without clear answers to critical questions: What is this agent allowed to do? What context can it trust? When must a human review its actions? What evidence must be captured? Without these answers, agent deployment creates operational, financial, legal, and reputational risk.
AgentPlugin provides a structured runtime for AI agents. Each agent is configured with explicit permissions — what actions it can take, what data it can access, and what approvals it needs. Every action is captured with context, timestamp, and rationale, creating an auditable evidence trail. The plugin architecture allows agents to be composed from reusable capabilities rather than built as monolithic systems. Human review points are defined as explicit gates, not afterthoughts.
Conceived the agent authority and plugin architecture.
Designed the permission model, context system, and evidence capture.
Building the plugin SDK, runtime, and tooling.
Core plugin architecture and permission system operational. Context injection and evidence capture in active development.
Research and governance framework for defining what AI agents can do, when humans must review, and what evidence is required.
In DevelopmentFederated operating system for service businesses — CRM, communications, field operations, quoting, and payments in one platform.
In DevelopmentRelationship and meeting intelligence — structured context routing, qualification, and asynchronous discovery for high-stakes conversations.