AWCP: A Workspace Delegation Protocol for Deep-Engagement Collaboration across Remote Agents

2026-02-24

AI Summary

This work addresses the limitations of current large language model (LLM) agent collaboration, which relies on message passing and lacks a shared execution environment, leading to contextual fragmentation and high overhead. Inspired by Unix’s “everything is a file” philosophy, we propose a lightweight workspace delegation protocol that introduces, for the first time in agent protocol stacks, a dedicated workspace layer. By decoupling the control plane from pluggable transport mechanisms, our approach enables remote agents to directly invoke local toolchains within a shared workspace for collaborative task execution. This design supports deep, asymmetric capability complementarity, overcoming the constraints of traditional message-based interaction. We open-source a complete implementation and demonstrate its efficacy through real-time asymmetric collaboration scenarios, laying the groundwork for a universally interoperable agent ecosystem.

Technology Category

• Multiagent Systems: Agent Communication
• Machine Learning: Large Multimodal Models (LMMs)
• Cognitive Modeling & Cognitive Systems: Agent Architectures

Application Category

• Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd work
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Search and Retrieval-Augmented AI: Agentic search

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 shared files directly with unmodified local toolchains. We provide a fully open-source reference implementation with MCP tool integration and validate the protocol through live demonstrations of asymmetric collaboration, where agents with complementary capabilities cooperate through delegated workspaces. By establishing the missing workspace layer in the agentic protocol stack, AWCP paves the way for a universally interoperable agent ecosystem in which collaboration transcends message boundaries. The protocol and reference implementation are publicly available at https://github.com/SII-Holos/awcp.

Problem

• workspace delegation
• agent collaboration
• execution environment isolation
• context gap
• Agentic Web

Innovation

• workspace delegation
• agent collaboration
• Agentic Web
• protocol design
• toolchain interoperability