🤖 AI Summary
Existing agent organizations are often oversimplified as static dialogue topologies or fixed workflows, struggling to balance persistence with dynamism. This work proposes a native agent organization architecture featuring four hierarchical layers—persistence, coordination, runtime, and human-agent interaction—that constructs task-specific operational worlds through permission/privilege mechanisms while orthogonally separating execution, auditing, and oversight roles. The design adopts a dual-state paradigm: rigid at the foundational layer yet flexible at the execution interface, ensuring persistent integrity of records, write constraints, and separation of powers while enabling task-driven dynamic reconfiguration. Key technical components include a four-store recording architecture, specialized agent pools, isolated runtimes, and non-decisional translator agents. A prototype implementation demonstrates the framework’s feasibility, offering a falsifiable foundation for the design, governance, and evaluation of agent organizations.
📝 Abstract
An agentic organization should not be a set of model instances with corporate titles, despite most MAS still operationalizing organization as a conversational topology, a role prompt, or a fixed workflow. This paper develops an agent-native organizational structure framework that separates the persistent and dynamic layers of operations. The persistent layer consists of a four-store record architecture and a pool of resident specialization agents. A coordination layer defines Permission as the boundary of the operational world available to an agent, and Privilege as the set of organizational state changes that the agent is authorized to initiate. Together, these mechanisms compile task-specific operational worlds. A runtime layer combines an external Workflow Protocol with an isolated runtime store to dynamically assemble Task Groups. A human-interaction layer exposes the organization through a Control Plane mediated by a non-decision-making Translation Agent. Three orthogonal Role Groups further separate Operation, Review, and Supervision. Operators execute within narrowly scoped leases; reviewers receive elevated but demand-activated authority to modify organizational state; supervisors retain broad observational access while holding limited modification authority. The resulting architecture is fluid at the execution surface but structurally rigid underneath: tasks and events may alter team composition, topology, views, tools, and workflows, while records, write constraints, authority boundaries, and separation of powers remain persistent. The architecture has been implemented as a prototype and evaluated in small-sample experiments. Large-scale empirical validation remains incomplete, therefore no general performance claimed is made yet. Instead, the contribution is a coherent and falsifiable framework for designing, governing, recovering, and evaluating agent-native organizations.