AWCP: A Workspace Delegation Protocol for Deep-Engagement Collaboration across Remote Agents
Xiaohang Nie, Zihan Guo, Youliang Chen, Yuanjian Zhou, Weinan Zhang

TL;DR
AWCP introduces a protocol enabling remote agents to directly manipulate shared workspaces, enhancing collaboration capabilities beyond message passing in autonomous agent systems.
Contribution
It presents a novel workspace delegation protocol that decouples control and transport, allowing direct environment manipulation in agent collaboration.
Findings
Enables asymmetric agent collaboration through shared workspaces.
Provides an open-source implementation with MCP tool integration.
Demonstrates practical live collaboration scenarios.
Abstract
The rapid evolution of Large Language Model (LLM)-based autonomous agents is reshaping the digital landscape toward an emerging Agentic Web, where increasingly specialized agents must collaborate to accomplish complex tasks. However, existing collaboration paradigms are constrained to message passing, leaving execution environments as isolated silos. This creates a context gap: agents cannot directly manipulate files or invoke tools in a peer's environment, and must instead resort to costly, error-prone environment reconstruction. We introduce the Agent Workspace Collaboration Protocol (AWCP), which bridges this gap through temporary workspace delegation inspired by the Unix philosophy that everything is a file. AWCP decouples a lightweight control plane from pluggable transport mechanisms, allowing a Delegator to project its workspace to a remote Executor, who then operates on the…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Semantic Web and Ontologies
