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Team Workbench

Team Workbench (/teams) is AgentHub's multi-agent collaboration surface.

Mental Model

Think about Team Workbench as three connected layers:

  • Channels (# all by default): the human-facing shared lane
  • Kanban: the canonical task lane
  • Execution Runs and debug surfaces: execution telemetry and deep inspection

On smaller screens, Team Workbench switches between two panes instead of stacking everything into one page:

  • the Team rail
  • the active workspace

Use the header toggle to move between them.

The important distinction is that Team Execution Runs and steps are execution and debug artifacts. They are not the primary planning surface.

Recent Updates

Recent Team workbench updates changed the operator-facing shape in a few useful ways:

  • the shell is now more clearly Channels-first
  • run history is consistently labeled Execution Runs
  • the left rail carries most Team switching and workspace navigation
  • the shared # all lane stays the default place for human goals and team-wide coordination

Main UI Areas

  • Channels:
    • shared channel lane, usually # all
    • # all is a stable Team-level channel target resolved by the backend, not whichever task happens to be visible first in the Kanban list
    • optimized for live coordination: the composer stays pinned to the bottom and the workbench shows a bounded recent-10 message window by default
    • human goals, constraints, approvals, and @member_id coordination requests
  • Kanban:
    • task ownership and lifecycle
    • the durable place to see work status
    • not the place for human operators to manually author canonical Team tasks
  • Agents:
    • member list and per-member entry into Agent ACP
  • Execution Runs:
    • explicit execution history, start, and selection
  • Advanced / Debug:
    • lower-level execution and inspection tools

What Good Team Usage Looks Like

Healthy Team usage usually follows a stable split:

  • humans talk in Channels, usually # all
  • the leader turns agreed work into canonical tasks
  • workers report progress and facts without taking over planning
  • Kanban stays the source of truth for task state
  • Execution Runs and Agent ACP stay available for debugging, not for day-to-day planning

If Execution Runs becomes the main place people track work, the Team model is usually drifting too close to raw execution details.

Typical Workflow

  1. Create or select a Team.
  2. Start the Team runtime.
  3. Use Channels, usually # all, to state the goal and constraints.
  4. Let the leader turn agreed work into canonical Kanban tasks.
  5. Track ownership and progress in Kanban.
  6. Drop into Agent ACP, Execution Runs, or Advanced only when you need execution details or debugging.

Mentions And Shared Channels

  • No @mention: message is team-wide and the leader should respond first.
  • @member_id: message is still visible in the shared channel, but it prioritizes the mentioned member or members.
  • Workers can contribute direct implementation progress or scoped answers, but planning and final synthesis still converge through the leader.

In practice:

  • use @member_id when one specific worker should answer or inspect something
  • avoid turning every status update into a direct mention
  • keep final human-facing synthesis concise, even if the debug surfaces contain much richer detail

Task-First Collaboration

Team Workbench is now task-first:

  • Kanban is the durable coordination surface
  • Channels (# all) provide a separate stable shared lane, not a workspace task you need to recover manually from Kanban ordering
  • human requests and clarifications live in Channels; leader/runtime turns agreed work into canonical Kanban tasks
  • the normal Team UI and public HTTP surface do not expose direct canonical task creation; requests go through Channels and leader/runtime materialize tasks onto Kanban
  • tasks can exist without an assigned member yet
  • assignment can happen later as the plan becomes clearer
  • step/run data remains execution telemetry, not the primary ownership model

The workbench also refreshes more aggressively on resume:

  • runtime state rechecks on focus / reconnect
  • Kanban refreshes on resume instead of only waiting for the next poll
  • shared Channels refresh immediately on restore/reconnect in addition to SSE

This keeps context attached to the task instead of fragmenting it across many small execution steps.

Shared Channel Connection Model

The Team header keeps the shared channel connection state compact instead of turning it into a heavyweight status bar.

The shared channel is intentionally tuned for live coordination, not infinite log browsing. The default Team surface keeps only a small recent window in memory so the workbench stays responsive. If you need deeper execution history, or raw event detail, drop into Agent ACP, Execution Runs, or other debug surfaces instead of treating # all as the primary archive.

What To Watch Operationally

  • whether the Team runtime is started or stopped
  • whether the Team runtime has correctly fallen back to stopped / degraded after members exit
  • whether a member that already exited no longer shows a stale running badge after refresh
  • whether Kanban ownership matches the real executing member
  • whether Channels and Kanban stay in sync with the current plan
  • whether permission review requests route to the expected reviewer

Agent ACP In Team Mode

Use Teams -> Agents -> Agent ACP when you need to inspect one member deeply:

  • ACP conversation and tool-call history
  • detailed debugging
  • member-specific prompt or runtime behavior
  • session controls such as Set Mode, Set Model, Set Config, Cancel Run, and Force New Session when the active ACP runtime exposes them

Use this sparingly during normal Team work. The primary human workflow should still live in Channels and Kanban.

When a provider returns structured selector options, AgentHub uses those provider-driven choices instead of forcing you to type raw model or mode IDs by hand.

Permission Review In Teams

Permission review follows the Team routing model rather than a generic tool prompt:

  • the system automatically assigns a non-requester reviewer
  • reviewers see the approval action in their Team workflow when they are the active reviewer
  • the requester never self-reviews
  • if agent review does not complete in time, the shared Team surface falls back to a human-visible review card
  • resolved or timed-out review cards collapse to compact status cards so the shared channel keeps more space for active content

Managed Runtime Vs Local Development

Managed Team sessions already receive the role indexes and actor runtime environment they need.

If you run Team actors manually in a local Codex environment outside the normal managed runtime, bootstrap the Team skills first:

scripts/setup_team_skills.sh

Managed Team runtime actor commands are now auto-approved by the ACP permission layer when agenthub actor ... resolves to the managed runtime binary.

If you also run agenthub actor ... manually in a local Codex shell and want those manual commands to stop prompting repeatedly, allow the human-typed prefix:

prefix_rule(pattern=["agenthub", "actor"], decision="allow")

Recommended location:

  • ~/.codex/rules/default.rules