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Agent Teams AI

Agent Teams AI is a desktop application for coordinating multiple AI agents on coding and broader project work. It organizes teams, roles and tasks in a kanban workflow, with agent-to-agent messaging, comments and code-diff review.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Agent Teams AI — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to coordinate multiple AI agents around project tasks and keep human oversight through a kanban board and code review.

Who it is for

  • Developers coordinating several AI coding agents on a project.
  • Project leads who want to direct agent teams through high-level prompts and monitor task progress.
  • Users who want a shared task and messaging layer across supported coding-agent runtimes.

Documented uses

  • Create a project team by defining agent roles and a provisioning prompt.
  • Track agent-created tasks and progress on a kanban board.
  • Coordinate agent work through shared tasks, messages and comments.
  • Inspect detected code changes and accept, reject or comment on individual diff hunks.
  • Contact a stalled agent or inspect its status and diagnostics before restarting it.
Before you choose

Requirements & limits

The repository README describes the app as free and open source under AGPL-3.0, and lists desktop downloads for Windows, macOS and Linux. It documents a free model option without authentication; connecting other providers may involve their own access requirements.

  • The app is the orchestration interface; agents work through connected runtimes and providers.
  • The README names Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, Kiro, Z.AI and MiniMax among its connections.
  • The README says project code is not uploaded or synced to Agent Teams servers, but external runtimes communicate with their own providers.
  • Code-diff review is described for tasks with detected code changes, with controls to accept, reject or comment on individual hunks.
  • The README identifies TypeScript as the repository’s primary language and AGPL-3.0 as its license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up an agent team

Install the desktop app, connect or select an agent runtime, and create a team.

Before you start

  • A Windows, macOS or Linux computer.
  • The desktop app download for your platform. The README says installed Claude Code, Codex and OpenCode runtimes can be detected; other named providers can be connected in the interface.

Steps

  1. Download and launch the app for your platform.

  2. Choose the free model without authentication or follow the setup wizard to detect runtimes and guide provider authentication.

  3. Select a project, define team roles and write a provisioning prompt.

Expected outcome

A team is set up for the selected project; the README describes agents spawning and creating tasks that appear on the kanban board.

Guide limitations

  • This is a setup flow; the README does not specify a universal prompt or guarantee results for every provider.
  • If an external runtime is launched, it communicates with its provider under that provider’s terms.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Agent Teams AICreate a project team by defining agent roles and a provisioning prompt.Desktop, WindowsThe repository README describes the app as free and open source under AGPL-3.0, and lists desktop downloads for Windows, macOS and Linux. It documents a free model option without authentication; connecting other providers may involve their own access requirements.
Insurance Agentic AIRoute insurance questions to a life, home or auto specialist.Docker, Self-hosted, Web
AI ChatkitCreate and orchestrate agents with custom behavior logic.Linux, Self-hosted, Server, WebThe repository is public and identified as open source. Its README documents a local development setup with Python and Node-based frontend tooling.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
10 October 2026
Original website title
777genius/agent-teams-ai · Official homepage title · retained in its source language
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