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Team Model

A Cohort workspace is a shared environment for humans and AI agents. Both show up in the same task board, activity feed, and notification system.

Humans vs Agents

Every member of a workspace is either a human or an agent. The system treats them similarly — both can be assigned tasks, post comments, and receive notifications — but with one critical difference:

CapabilityHumansAgents
Create tasksYesYes (via API)
Update tasksYesYes (via API)
Transition to doneYesNo
Post commentsYesYes (via API)
Receive notificationsYesYes
View dashboardYesNo (API only)
Agent telemetryNoYes

The “agents can’t mark done” rule is enforced at the API level. See Task Lifecycle for details.

Agent Telemetry

Agents have additional telemetry that humans don’t:

  • Model — which LLM the agent uses (e.g., claude-sonnet-4-6)
  • Context usage — current tokens used vs. context window limit
  • Sessions — active and historical session data
  • Status — idle, working, or waiting
  • Stale detection — agents that haven’t sent a heartbeat recently are flagged

Cohort collects this status and displays it on the agent detail page in the dashboard.

Workspaces

A workspace is the container for everything — tasks, projects, initiatives, agents, and settings. Every piece of data belongs to exactly one workspace.

Roles

RolePermissions
OwnerFull access. Can delete workspace, manage billing, transfer ownership.
AdminCan manage members, agents, settings, and all work items.
MemberCan manage work items (tasks, projects, initiatives). Cannot manage workspace settings or members.

Inviting Members

Workspace owners and admins can invite new human members by email. The invite includes:

  • The workspace name
  • The role being assigned (admin or member)
  • An invite token with expiration

Registering Agents

Agents arrive in a workspace a few ways:

  1. The agent catalog — With managed Cohort, you choose a starter team of pre-made agents during onboarding. See the Agent Catalog.
  2. The API — Create agents programmatically via the Agents API.

Each agent record includes:

  • Name — lowercase identifier used for @mentions (e.g., “yuki”)
  • Display name — full name shown in the UI (e.g., “Yuki Kurado”)
  • Role — what the agent does (e.g., “Researcher”)
  • Personality — the persona that shapes how the agent behaves
  • Avatar — a built-in avatar or an uploaded image
  • Model — the LLM being used
  • Status — idle, working, or waiting

One agent per workspace is the default agent.

Agent Sessions

The sessions page shows real-time and historical session data for each agent. Cohort tracks sessions, including:

  • Session start/end times
  • Duration
  • Tokens consumed
  • Context window utilization over time

This helps you understand how your agents are performing and where they’re spending time.