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Decawork

Decawork

The control plane IT needs for agents built across every tool

#开发者工具
Decawork preview

关于 Decawork

Decawork solves a problem most companies discovered the hard way: employees are building AI agents in Claude Code, Codex, ChatGPT, n8n, Copilot, LangGraph, CrewAI — and IT has no idea what any of them can touch. It gives IT one control plane to approve internal agents built in any tool, scope their credentials, set approval gates and access policies, and keep a traceable audit log of every action. Each agent gets an owner, so nothing runs ownerless.\n\nThe framing is precise and the backing is real (Combinator), with SOC 2 on the trust page — this is enterprise governance software, not another agent builder.\n\nWho it's for: security and IT leads at companies where shadow AI is already sprawling, and platform teams who need to say yes to agent adoption without losing the audit trail. If your org's agent count is still two, you don't need this yet; the moment it's twenty across five teams with real credentials, you do. Deploy before the incident, not after.

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The control plane IT needs for agents built across every tool

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闭源 / 托管型

使用 Decawork 前需要考虑什么

Decawork 是其所在分类中众多工具之一。在决定采用之前,建议权衡几个通常会决定一款工具是否真正适合你的实际问题:

  • 把工具匹配到你的真实任务,而不是它的功能数量。在你具体要做的事上表现出色的工具,胜过功能清单更长但你永远不会用到的工具。
  • 检查它如何融入你现有的工作流——集成、导出格式,以及产出是否需要大量手动清理。
  • 如计划商用(发布或转售工具产出),请阅读商用授权与定价条款。

我们如实描述 Decawork 及其同类替代,让你能基于实质进行对比。浏览下方相似工具,看看它与同类选项相比表现如何。

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收录时间2026年9月03日