01 / 04
Why now?
Agents went from drafting text to taking real actions — calling APIs, touching production, and spending money. The layer that decides what they are allowed to do before they do it is now essential.
The control plane for agents
Control what
your agents can do.
Agenline gives every AI agent a clear boundary. Connect, define policy, and ship with confidence.
Use the dashboard or the agen CLI
THE WHYs
02 / 04
Why was this not built already?
Until recently, agents mostly suggested actions. Once they could act instead of suggest, the risk became real — and the tooling had not caught up.
03 / 04
Why is this its own product?
Agent frameworks are built to make agents powerful. Agenline is the accountability layer above the framework, regardless of what the agent is built with.
04 / 04
Why not wait?
The first serious incident is too late to begin defining boundaries. Agenline lets teams establish rules before an agent reaches a sensitive resource.
A simple boundary
From open-ended
to under control.
For example
A clear path from intent to enforcement.
Connect the agent
1 / 4The real upstream key stays encrypted at rest. Use a test key for this walkthrough.
agen agent connect support-bot-1 --key <upstream-key>
Start with the dashboard or CLI.
Sign up, create a field, grant its state through a policy, then attach the policy to an agent. Inspect its effective access to understand each decision. HTTP fields are enforced through the Agenline proxy; filesystem, command-runner, and database configuration requires a trusted external runtime.