# DAIR.AI 提出 ATWZ：为 Claude Code 智能体团队构建持久化工作区

- 来源：elvis (@omarsar0)
- 发布时间：2026-08-01 22:13
- AIHOT 分数：42
- AIHOT 链接：https://aihot.virxact.com/items/cmsagv3qr0531rob3bngz35oy
- 原文链接：https://x.com/omarsar0/status/2083556612971913569

## AI 摘要

DAIR.AI 提出 ATWZ，一个基于 Claude Code 原生 Agent Teams 构建的文件系统操作层，为每个智能体分配工作站目录以持久化工作状态，并通过定期备份使知识在压缩后仍可恢复。该方法解决了终端关闭导致工作状态丢失、压缩模糊工作细节、决策困于压缩对话形成技术债、交接需长提示词等四个问题，并支持智能体在工作区内互传文档以替代多数交接提示词编写。

## 正文

// Persistent Workspaces for Long-Lived Claude Code Agent Teams //

Four issues to be aware of：

> Working state vanishes when a terminal closes and the team cannot be resumed.

> Compaction condenses the conversation and blurs each agent's working detail.

> Decisions and operations get trapped in compacted chats， which accumulates as agentic technical debt.

> Every handoff needs another long prompt.

ATWZ is a filesystem operations layer built around Claude Code's native Agent Teams. Each agent gets a workstation directory holding its working state alongside the skills， hooks and scripts that maintain those files. The team backs up periodically so knowledge survives compaction， and a single command restores the whole team after the process ends.

Agents also send documents to one another inside the workspace， which replaces most of the handoff prompt writing.

Paper： https://arxiv.org/abs/2607.22917

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