Agent inventory
See a company-wide list of managed agents, including who owns them and whether they are live or paused.
Decawork 是為 IT 團隊打造的代理控制平台,可核准使用不同工具建置的內部 AI 代理、控管其存取權限並檢視每項操作,讓團隊在同一處管理全公司的代理。
Decawork is a control plane for internal AI agents. It is built for IT teams that need a central way to approve agents created in different tools, set access boundaries, and inspect what those agents do.
The product focuses on three core jobs: knowing which agents are running, controlling what they can reach, and keeping an audit trail of actions and approvals. The site describes a model where teams keep building agents in their preferred tools while IT manages them in one place.
See a company-wide list of managed agents, including who owns them and whether they are live or paused.
Require approval before an internal agent can be allowed to access systems or take action.
Give agents short-lived credentials and exact permissions instead of broad access.
Track what happened, which agent did it, and who approved it.
Define what each agent can access and do across company systems.
Manage agents built in different tools from one control plane.
Keep one view of agents created by different teams so IT can understand what is running across the company.
Inspect action histories and approvals when teams want visibility into how an agent behaved.
Restrict agent permissions to the exact systems and actions needed for a task.
Monitor whether agents are active or paused and maintain ownership information.
Apply a common approval and audit process to agents built on different platforms and frameworks.
Decawork gives IT teams one place to approve internal AI agents, control what they can access, and review every action they take.
The site positions Decawork for IT teams and organizations that want company-level control over agents built by different teams.
Yes. The site says agents can be built anywhere, including examples such as ChatGPT, Claude Code, Microsoft Copilot, OpenAI Agents SDK, LangGraph, CrewAI, Gemini, Cursor, and custom stacks.
No. The pricing URL shown in the source returns a not found page and directs visitors back to the home page or to book a live walkthrough.
流量數據僅供參考。