agent-teams-ai GitHub Details, Stars and Alternatives

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agent-teams-ai GitHub Details, Stars and Alternatives | OpenRepoFinder

Assemble your team — create agent teams with different roles that work autonomously in parallel
Sit back and watch — tasks change status on the kanban board while agents handle everything on their own
Agents talk to each other — they communicate, create and manage their own tasks, review, leave comments
Review changes like in Cursor — see what code each task changed, then approve, reject, or comment
Built-in review workflow — easily see how agents review each other's tasks to make sure everything went exactly as planned
Token analytics and budgets — see input, output, cache, and reasoning usage across teams, agents, tasks, projects, models, runtimes, sessions, commands, and runs. Spot expensive work, track trends and forecasts, set monthly token or estimated-cost budgets, and get alerts at 80% and 100%
Organizations and global overview — group teams into departments, squads, or any nested structure. Track every organization on one live map with team and agent status, task progress, dependencies, delegation, and cross-team communication
Cross-team communication — agents can fully communicate across different teams; you can configure or prompt them to collaborate and message each other between teams
Stay in control — send a direct message to any agent, drop a comment on a task, or pick a quick action right on the kanban card whenever you want to clarify something or add new work
Flexible autonomy — let agents run fully autonomous, or review and approve supported tool actions one by one (you'll get a notification) — configure the level of control that fits your security needs
Task-specific logs and messages — clearly see agent/runtime logs (tools), actions and messages in isolation for each individual task, making it easy to trace what happened for any assignment
Integrated terminal workspace — run commands in a visual PTY, switch between the team runtime and local shell, and use persistent history, autocomplete, and terminal settings without leaving the app
Solo mode — one-member team: a single agent that creates its own tasks and shows live progress. Saves tokens; can expand to a full team anytime
Multi-provider orchestration — start with a free model with no auth, auto-detect available Claude Code, Codex, and OpenCode runtimes, or connect Cursor, SuperGrok, GitHub Copilot, Z.AI, MiniMax, and Kiro using the subscriptions or API keys you already have

Live process section — see registered background services, stop them, and open their URLs directly in the browser
Per-agent CPU/RAM history — see how many local resources each live teammate uses over time
Task creation with attachments — send a message to the team lead with any attached images. The lead will automatically create a fully described task and attach your files directly to the task for complete context.
Auto-resume after rate limits — when the lead hits a Claude rate limit and the reset time is known, the app can automatically nudge the lead to continue once the cooldown has passed
Deep session analysis — detailed breakdown of each agent session: agent output, tool calls, bash commands, and subprocesses
Smart task-to-log/changes matching — automatically links session logs/changes to specific tasks
Advanced context monitoring system — see what consumes context: user messages, project instructions, tool outputs, available thinking summaries, and team coordination. View token usage, context-window share, and estimated cost by category.
Recent tasks across projects — browse the latest completed tasks from all your projects in one place
Zero-setup onboarding — start with the free model with no auth, then connect paid/account providers only when you need them
29 interface languages - choose the app language and preferred agent communication language. Includes English, Chinese, Spanish, Hindi, Portuguese, French, Arabic, German, Japanese, Korean, Russian, Ukrainian, and 17 more.
Built-in code editor — edit project files with Git support without leaving the app
Branch strategy - choose per teammate at launch: use the main checkout or run selected agents in their own git worktree. You can still spell out branch rules in the provisioning prompt.
Team member stats — global performance statistics per member
Attach code context — reference files or snippets in messages, like in Cursor. You can also mention tasks using #task-id, or refer to another team with @team-name in your messages.
Notification system — configurable alerts when tasks complete, agents need your response, new comments arrive, or errors occur
MCP integration — supports the built-in mcp-server (see mcp-server folder) for

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