AgentOperationsGeneral

Hire a specialist agent from the Hub instead of building one from scratch

Saves about 2h a week. Set it up once and it runs on schedule.

You write“Find a published agent on the Hub that already handles invoice follow-ups well, and set it up to run in my project.”

Run it in Desktop

How it usually goes

Right now it's all manual

You need a capability someone else has clearly already built well, but building your own version from scratch means redoing work that already exists.

What this sentence generates

One agent that does this job

It becomes a single installable agent with memory, tools, and safety labels.

Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP

Example: input → output

Preview what comes out

Input

"I need something for meeting follow-ups, not a custom build."

Output

A matched Hub agent attached to your project, running on your own AI account — not a hosted call to a third-party server.

A matched Hub agentLocal setup on your own AI accountA routing receipt for the match

Manual vs the agent

Same job, far less manual work

Now (manual)

A person does it by hand every time — collecting, writing, and cleaning up, the same work over and over.

With the agent

Searches your own saved agents first, then the public Hub, and sets up a matched specialist to run locally on your own AI account.

How it works

Four steps

Describe the job in one sentence; we only ask for the missing details.

Review the generated agent, its files, permissions, and safety labels before any run.

Download the ZIP or import to Desktop and try it once on your own AI account.

Let it repeat as weekly work while Desktop is open.

Safety

Inspect everything before it runs

Before publish or install, a security scan checks secrets, unsafe code, and over-broad permissions. You can see what the agent accesses, and important actions wait for human review. Agentlas does not host or proxy models — it runs on your account and keys.