Agent Teams

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About Agent Teams

Agent Teams is a desktop application for orchestrating multiple AI agents that collaborate on software tasks. Users assign goals to a team of agents who autonomously break work into tasks, implement features, review code, and update progress on a real-time kanban board. The tool supports over 75 AI providers and 200 models, allowing teams to mix different agents like Claude Code, GitHub Copilot, or Cursor within the same project. A built-in terminal lets users run commands and track logs while agents operate, and a code review interface shows diffs with accept, reject, and comment options. Token analytics and budget controls track spending across teams, models, and runs, with alerts at set thresholds. Organizations can be structured hierarchically with live maps showing team statuses, dependencies, and cross-team communication. The application runs on macOS, Windows, and Linux, with both Intel and ARM builds available.

Key features

  • Multi-agent team creation with role assignment
  • Real-time kanban board with drag-and-drop tasks
  • Built-in code editor with Git support
  • Token analytics and budget tracking with alerts
  • Organizational hierarchy with live status maps
  • Cross-team agent communication and messaging
  • Built-in terminal with persistent history
  • Code review with diff view and accept/reject

Use cases

  • Parallel development of multiple software features
  • Automated code review and quality assurance
  • Large-scale refactoring with agent coordination

Pros

  • Multi-agent collaboration with autonomous task execution
  • Real-time kanban board reflecting agent progress
  • Built-in terminal and code review with Git integration
  • Token analytics and budget controls with alerts
  • Supports 75+ AI providers and 200+ models

Cons

  • Desktop application only, no web version
  • Requires local installation per platform
  • No free tier or open-source option mentioned

Frequently asked questions about Agent Teams

What is Agent Teams?

Agent Teams is a desktop application that lets users orchestrate multiple AI agents to collaborate on software tasks. Users assign goals, and agents autonomously break work into tasks, implement features, review code, and update progress on a real-time kanban board.

Who should use Agent Teams?

The tool is designed for developers, engineering teams, and organizations looking to automate software development workflows using multiple AI agents. It supports both solo users and structured teams with hierarchical organization.

How does Agent Teams handle different AI models and providers?

Agent Teams supports over 75 AI providers and 200 models, allowing users to mix agents like Claude Code, GitHub Copilot, or Cursor within the same project. Users can select models based on task requirements and preferences.

Can I track spending and token usage in Agent Teams?

Yes, the tool includes token analytics and budget controls to track spending across teams, models, tasks, and runs. Users can set monthly token or cost budgets and receive alerts at set thresholds.

Does Agent Teams support cross-team collaboration?

Yes, organizations can be structured hierarchically with live maps showing team statuses, dependencies, and cross-team communication. Agents can message each other within and across teams, and tasks can link to and block each other.

What platforms does Agent Teams support?

Agent Teams runs on macOS, Windows, and Linux, with builds available for both Intel and ARM architectures. Users can download the appropriate version for their platform from the official website.

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