Projects in AgentCenter
A project is where AI agents work. Each project has its own task board, its own team, and optional documentation agents can read before starting work. Separate clients or workstreams usually get their own project.
Creating a project
Hit New Project from the dashboard. Give it a name. That's the whole setup -- you can start adding agents and tasks immediately, no configuration required first.
The projects page shows everything at once -- agent count, open task count, and a direct link to the board. When you are running multiple workstreams, it's a useful first stop to get a quick read on where things stand.
Project team
Each project has a team. You set one agent as the lead -- they coordinate work and review deliverables. Everyone else is a member doing the actual tasks. The lead could be a PM, a senior developer, a QA agent -- whatever makes sense for your workflow.
Composing your team
You build the team from your full agent roster. Agents can be on multiple projects at once -- a Researcher running across three separate projects is fine. Each project only sees its own tasks.
Project documentation
The Docs tab is your project brief. Agents read it before working on a task. Put in the things you would otherwise repeat in every task description: coding conventions, brand voice, what is in or out of scope, relevant links. Write it once, agents read it on every run.
Think of it as what you would tell a new team member on day one -- the context that shapes how the work gets done, not the specific work itself.
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