# Agno Team Execution Modes (TeamMode): Coordinate, Route, Broadcast, and Tasks Explained

> Explore Agno Team execution modes: coordinate, route, broadcast, and tasks. Understand how these modes enable efficient team coordination and task management within the agno-agi/agno repository.

- Repository: [Agno/agno](https://github.com/agno-agi/agno)
- Tags: deep-dive
- Published: 2026-02-23

---

**Agno supports four Team execution modes defined by the `TeamMode` enum: `coordinate` (default supervisor), `route` (single specialist), `broadcast` (parallel all-members), and `tasks` (autonomous task decomposition).**

The `agno-agi/agno` repository provides a flexible `Team` class for orchestrating multiple AI agents. Understanding the available **Team execution modes** is essential for controlling how the team leader coordinates work among member agents and synthesizes final responses.

## Understanding the TeamMode Enum

The `TeamMode` enum is defined in [`libs/agno/agno/team/mode.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/mode.py). It provides four distinct execution strategies that determine how the `Team` object (the leader) interacts with its member agents.

```python
class TeamMode(str, Enum):
    coordinate = "coordinate"
    route = "route"
    broadcast = "broadcast"
    tasks = "tasks"

```

Each mode changes the runtime behavior implemented in [`libs/agno/agno/team/_run.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_run.py) and the initialization logic in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py).

## The Four Team Execution Modes

### Coordinate Mode (Default)

**`coordinate`** is the default supervisor pattern. When this mode is active, the team leader selects specific members, crafts individual tasks for each, runs them sequentially, and synthesizes the members’ responses into a final answer. This mode provides the most control over the workflow and is ideal when tasks require careful orchestration between multiple specialists.

### Route Mode

**`route`** implements a router pattern. The leader forwards the entire user request to a single specialist member and returns that member’s response directly to the user without modification. This mode is optimized for speed when you know the request belongs to a specific domain, and it sets `respond_directly=True` internally.

### Broadcast Mode

**`broadcast`** uses a broadcast pattern. The leader sends the same task to **all** members in parallel and returns the combined or selected responses. This mode is useful when you want multiple perspectives on the same query or need to aggregate results from different specialized agents. It forces `delegate_to_all_members=True`.

### Tasks Mode

**`tasks`** enables autonomous task-based execution. The leader breaks the overall goal into a shared task list, delegates specific tasks to members, and loops until the task list is empty. This mode supports complex, multi-step workflows where the team must maintain state across iterations. Unlike the other modes, `tasks` is only selectable explicitly and cannot be inferred from boolean flags.

## How TeamMode Is Resolved at Runtime

When a `Team` is instantiated via [`libs/agno/agno/team/team.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/team.py), the constructor in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) (lines 88-109) resolves the effective mode through the following logic:

**Explicit mode resolution** takes precedence. If `mode=` is passed to the constructor, that value wins and the related boolean flags are normalized. For example, `mode=TeamMode.route` forces `respond_directly=True` and `delegate_to_all_members=False`.

**Implicit inference** occurs when `mode` is omitted:
- `respond_directly=True` ⇒ `TeamMode.route`
- `delegate_to_all_members=True` ⇒ `TeamMode.broadcast`
- Otherwise ⇒ `TeamMode.coordinate`

The `tasks` mode is never inferred; it must be set explicitly via `mode=TeamMode.tasks`.

## Code Examples for Each TeamMode

### Example: Coordinate Mode (Default)

```python
from agno.team import Team
from agno.agent import Agent

assistant = Agent(name="assistant")
team = Team(
    name="coord-team",
    members=[assistant],
    # No mode argument → defaults to TeamMode.coordinate

)

# The leader coordinates the assistant and synthesizes its reply

team.run("Summarise the latest news about AI.")

```

*Source: Construction logic in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) lines 88-109.*

### Example: Route Mode

```python
from agno.team import Team, TeamMode
from agno.agent import Agent

researcher = Agent(name="researcher")
team = Team(
    name="router-team",
    members=[researcher],
    mode=TeamMode.route,          # forces respond_directly=True

)

# The whole request is routed to researcher; raw response returned

team.run("Give me the raw JSON schema for a product catalog.")

```

*Source: `TeamMode.route` handling in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) lines 91-97.*

### Example: Broadcast Mode

```python
from agno.team import Team, TeamMode
from agno.agent import Agent

agent_a = Agent(name="A")
agent_b = Agent(name="B")
team = Team(
    name="broadcast-team",
    members=[agent_a, agent_b],
    mode=TeamMode.broadcast,      # forces delegate_to_all_members=True

)

# Both agents receive the same prompt; responses are aggregated

team.run("Explain quantum computing in one paragraph.")

```

*Source: `TeamMode.broadcast` handling in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) lines 98-100.*

### Example: Tasks Mode

```python
from agno.team import Team, TeamMode
from agno.agent import Agent

planner = Agent(name="planner")
writer = Agent(name="writer")
team = Team(
    name="tasks-team",
    members=[planner, writer],
    mode=TeamMode.tasks,          # enables autonomous task loop

    max_iterations=5,
)

# The leader decomposes the goal into subtasks and iterates

team.run("Create a short tutorial on how to use Agno Teams.")

```

*Source: Tasks mode is recognized in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) lines 101-104 and drives the task-loop logic in [`libs/agno/agno/team/_run.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_run.py).*

## Summary

- **Agno provides four Team execution modes** (`coordinate`, `route`, `broadcast`, `tasks`) defined in [`libs/agno/agno/team/mode.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/mode.py).
- **`coordinate`** is the default supervisor pattern that synthesizes member responses into a final answer.
- **`route`** forwards the entire request to a single specialist and returns the raw response directly.
- **`broadcast`** sends the same task to all members in parallel and aggregates their responses.
- **`tasks`** enables autonomous execution where the leader maintains a shared task list and iterates until completion.
- **Mode resolution** occurs in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py), with explicit `mode=` arguments taking precedence over implicit boolean flag inference.

## Frequently Asked Questions

### What is the default Team execution mode in Agno?

The default **Team execution mode** is **`coordinate`**. When you instantiate a `Team` without specifying the `mode` parameter and without setting `respond_directly=True` or `delegate_to_all_members=True`, the constructor in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py) automatically selects `TeamMode.coordinate`. This mode uses a supervisor pattern where the team leader orchestrates members sequentially and synthesizes their outputs.

### How do I switch between Team execution modes?

You switch modes by passing the `mode` parameter when creating a `Team` instance. Import `TeamMode` from `agno.team` and set `mode=TeamMode.route`, `mode=TeamMode.broadcast`, or `mode=TeamMode.tasks`. According to the initialization logic in [`libs/agno/agno/team/_init.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/_init.py), this explicit setting overrides any boolean flags like `respond_directly` and normalizes them to match the selected mode's requirements.

### When should I use broadcast mode versus coordinate mode?

Use **`broadcast`** mode when you need multiple perspectives on the same input simultaneously, such as gathering diverse opinions or running parallel analyses across specialized agents. Use **`coordinate`** mode when the task requires sequential dependency handling or when the team leader must synthesize intermediate results into a coherent final answer. The `broadcast` mode delegates to all members in parallel, while `coordinate` selects specific members and orchestrates them sequentially.

### Can I use TeamMode with custom agent configurations?

Yes, **Team execution modes** work with any valid `Agent` configuration. The `Team` class in [`libs/agno/agno/team/team.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/team/team.py) accepts a `members` list containing fully configured `Agent` instances with custom tools, knowledge bases, and instructions. The selected `TeamMode` determines how the team leader invokes these agents—whether routing to one, broadcasting to all, or coordinating sequentially—without restricting the underlying agent capabilities.