AgentPlayground
Docs
Teams & agents

A team is a named group of agents built around a purpose — "Research", "Blog Team", "Sales."
The coordinator delegates work to a team by name; the team then runs its own tool loop to complete
it and hands back a result.

Team structure

Every team has:

  • A name and description — what it's for. This is what the coordinator reads to decide whether a task fits.
  • A status (healthy / idle / error / deploying) and a category — a workspace/group label used to organize teams.
  • Permissions — the scopes this team's agents are allowed to use.
  • One or more agents — the actual workers.
  • Skills attached to it (see Skills).
  • Its own Brain folder, created automatically at Teams/<team-name>/ for work logs, config, and outputs.

Teams can be user-created or seeded by the platform. A few teams are marked as system teams
(like the File Manager) — these exist for platform housekeeping and aren't meant to be deleted.

Agent structure

Each agent on a team has:

  • A name and optional description.
  • A model — which AI model it actually runs on (for example claude-sonnet-4-6). By default an agent inherits the install's default model, but this can be pinned per agent.
  • modelRequired — whether that model is pinned. If you tell the coordinator "make the Researcher use Claude Opus," it sets modelRequired: true on that agent, and from then on it always runs on that model instead of falling back to the default.
  • Capabilities — a list of tags describing what it can do.
  • An optional system prompt — its specific instructions/persona.
  • Temperature and max tokens — standard generation controls, with sane defaults.
Creating and changing teams and agents

You do this by asking the coordinator in plain language — for example:

"Create an agent team called Research for competitive analysis. It should have a Researcher and a
Writer. Put it in the Business playground."
"Make the Researcher on the Research team use Claude Opus — pin it as required."

The coordinator has tools to create teams and agents, add skills, update an existing team's name or
status, update an agent's model or system prompt, and list a team's full details when you want to
review or change what's already there.

Any model, any provider

Agents aren't locked to one AI provider. You can mix and match freely in the same install — the
coordinator on Claude, one team on a free NVIDIA model, another agent on a local Ollama model — see
Providers & Models for the full picture.