Decawork
The control plane IT needs for agents built across every tool
About 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.
At a glance
What it is
The control plane IT needs for agents built across every tool
Pricing
Paid
Primary category
Developer Tools
Source code
Closed source / hosted
What to consider before using Decawork
Decawork is one of many tools in its category. Before committing to it, weigh a few practical points that tend to decide whether a tool actually fits your work:
- Match the tool to your real task, not to its feature count. A tool that excels at your specific job beats one with a longer checklist you will never use.
- Check how it fits your existing workflow — integrations, export formats, and whether the output needs heavy manual cleanup.
- Read the license and pricing terms for commercial use, especially if you plan to publish or resell what the tool produces.
We describe Decawork and its alternatives honestly so you can compare on substance. Browse the similar tools below to see how it stacks up against other options in the same category.
