Agent Teams Ai
Free, local AI agent teams on a Kanban board — you set goals, agents plan, code, review and ship.
If you have been running parallel coding agents in separate terminals and losing track of who is doing what, Agent Teams AI is the first free tool we have seen that puts that whole operation on one board. The per-action approvals and token budget caps are what make it safe enough to actually leave running. The catch is maturity — it competes with Cursor and Claude Code teams from a much smaller shop, so expect rough recovery edges.
Verified 1d ago · liveness 63/100 · cite: rightaichoice.com/tools/agent-teams-ai
- Developers running several coding agents in parallel and needing one place to supervise them
- Solo builders who want plan/code/review handled by a team instead of one long prompt
- Teams that want to mix multiple model providers inside a single workflow
- Anyone who wants local execution with per-action approvals before code lands
- Non-technical users who want a simple chat interface
- Teams that require cloud-hosted, managed infrastructure or SSO and compliance controls
- Developers who need a full IDE with debugging and refactoring tools
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Skip Agent Teams AI if you want a cloud-hosted, web-based AI tool, need enterprise governance, or prefer a simple chat interface over managing agent teams.
The app is free, but most models require your own API keys—usage costs from providers (e.g., OpenAI, Anthropic) are your responsibility.
Agent Teams AI is free and open-source, with no signup or API key required to start. Compared to paid orchestration tools like Cursor or Claude Code, it offers substantial cost savings—you only pay for the model API usage you choose. The free tier with a built-in model makes it ideal for hobbyists and small teams, while enterprise-scale governance is absent.
In short
Agent Teams Ai — Free, local AI agent teams on a Kanban board — you set goals, agents plan, code, review and ship. Best for Developers running several coding agents in parallel and needing one place to supervise them, Solo builders who want plan/code/review handled by a team instead of one long prompt, Teams that want to mix multiple model providers inside a single workflow. Free to use.
What people actually say about Agent Teams Ai — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
17 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 30, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Free and open-source with all features included.
- +Supports 200+ models from 75+ providers.
- +Kanban board provides real-time visibility into agent tasks.
- +Hunk-level code review with accept/reject per change.
- +Automatic task dependencies and blocking execution.
- −Windows and macOS only; no Linux support yet.
- −Multi-agent setup complexity overwhelms beginners.
- −Limited community feedback; no reviews from major platforms.
- −No integrations with existing tools like Slack or GitHub.
- −Reliability and performance unproven in production.
- • No hidden costs; fully free and open-source.
Viability Score
How well maintained and how widely used is Agent Teams Ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Kanban board with five columns and real-time card updates
- Multi-agent teams with planner, lead, developer and reviewer roles
- Agent-to-agent messaging within and across teams
- Agents review each other's code and request changes
- Per-task diff view with accept, reject and inline comments
- Task dependencies that block execution until prerequisites finish
- Optional separate workspace per teammate
- Supports mixing Claude Code, Codex, OpenCode, Cursor, SuperGrok, GitHub Copilot, Z.AI, MiniMax and Kiro
- 200+ models from 75+ providers
- Token analytics and cost breakdown by team, agent, task, project, model and run
- Monthly token or cost budgets with alerts at 80% and 100%
- Nested organizations with global overview of team and agent status
- Built-in visual terminal with team and local shells
- Built-in code editor with Git support
- Solo mode for a single self-managing agent
About Agent Teams Ai
Agent Teams AI is a desktop app for orchestrating AI coding agents as an actual team — a planner, a lead, a developer and a reviewer that message each other, review each other's code, and move their own Kanban cards while you watch. You hand the team a goal; it breaks the work into tasks, picks up dependencies, and reports back through the board instead of a chat log. The app is built around a five-column real-time Kanban board, per-task diff review where you accept, reject or comment on hunks, and a built-in visual terminal with separate team and local shells. Token analytics track usage and estimated cost across teams, agents, tasks, projects, models and runs, with monthly budgets and alerts at 80% and 100%. Organizations can be nested into departments and squads and viewed on a live global map showing team status, task progress, dependencies and cross-team messaging. It runs locally on your machine, works with 200+ models across 75+ providers, and lets you mix runtimes in one team — Claude Code, Codex, OpenCode, Cursor, SuperGrok, GitHub Copilot, Z.AI, MiniMax and Kiro are all listed as supported teammates. Solo mode starts you with one self-managing agent if a full team is overkill. Compared to Cursor's Agents Window or Claude Code's experimental agent teams, the pitch here is visibility: a graphical peer-team workspace with approval gates and an org map, rather than terminal transcripts. macOS, Windows and Linux builds are a direct download with no signup.
Behind the Verdict
Agent orchestration tools usually ask you to choose: a slick cloud IDE, or a pile of CLI scripts you babysit. Agent Teams AI picks a third option — a local desktop app where the coordination itself is the interface. Cards move, agents message each other, and blockers surface on the board rather than in a log you have to grep. We would reach for it when the work is genuinely parallel: a refactor touching several modules, a feature plus its tests, or anything where a planner/lead/developer/reviewer split beats one long prompt. The budget alerts are the underrated part. Multi-agent runs burn tokens in ways single-agent sessions do not, and seeing cost broken down by team, agent and task is how you catch the agent that is quietly looping. Where it bites. This is a young open-source project competing with funded competitors, so polish and edge-case recovery will lag. The built-in editor is not a full IDE — if you live in VS Code with a debugger and refactoring tools, you will treat Agent Teams as the supervisor and your IDE as the workbench. The red-teaming tooling that has been circulating in agent communities lately has no equivalent here, so if you need adversarial testing workflows you will assemble those yourself. Enterprise governance, SSO and compliance tooling are simply absent. Compared with Cursor's Agents Window, Agent Teams wins on graphical team visibility and loses on ecosystem integration. Compared with Claude Code's experimental teams, it wins on being provider-agnostic and local-first, and it does not lock you into one vendor's model. Gas Town and Paperclip are the closer philosophically — terminal-first, coordination-heavy — but neither gives you the Kanban board plus the org map in one app. Who should pick it: solo developers and small teams who
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Real-world workflow fit
Concrete scenarios for the personas Agent Teams Ai actually fits — and what changes day-one when you adopt it.
You have a feature to implement in a personal project.
Outcome: Create a team of two agents (developer and reviewer) on the Kanban board, give a goal, and watch them break it into tasks, code, and review. Accept/reject hunks directly in the diff view.
You need to coordinate a multi-agent code review pipeline for a new API.
Outcome: Set up a developer agent to implement and a reviewer agent to check code. Use the Kanban board to track progress, approve/reject hunks, and use token analytics to monitor costs.
You want to compare outputs from Claude Code and Codex on the same issue.
Outcome: Create two agent teams with different models, run them in parallel on the same task, and compare results side-by-side in the app.
Use Cases
- Break down a software feature into tasks and let agents implement and review them autonomously.
- Run a multi-agent code review pipeline where developer agents submit work and reviewer agents check hunks.
- Orchestrate agent teams with different roles (planner, lead, dev, reviewer) to handle complex projects.
- Experiment with mixing Claude, Codex, and OpenCode agents in the same project to compare outputs.
- Monitor agent CPU/RAM usage and task logs to optimize team composition and model selection.
Models Under the Hood
as of 2026-09-15
Limitations
- Agent Teams AI is a Kanban-based orchestration layer for coordinating multiple AI agents with planner, lead, developer and reviewer roles.
- It routes work through external AI providers (75+ providers, 200+ models such as Claude Code, Codex, OpenCode, Cursor, SuperGrok, GitHub Copilot, Z.AI, MiniMax and Kiro).
- Effective use requires an existing AI provider/API stack and familiarity with agent roles and workflows, and token/cost budgeting is available to manage spend.
- Agents run on your machine in a built-in terminal, so it depends on your local environment.
as of 2026-08-29
Verification history
We have re-verified Agent Teams Ai 4 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Agent Teams Ai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo developers and small teams who want to orchestrate AI agents without upfront costs.
What this tier adds
Starting tier: all features included, free model, no signup or API key required.
Where the pricing makes sense
The company stage and team size where Agent Teams Ai's pricing actually pencils out — and where peers do it cheaper.
Agent Teams AI is free and open-source, with no signup or API key required to start. Compared to paid orchestration tools like Cursor or Claude Code, it offers substantial cost savings—you only pay for the model API usage you choose. The free tier with a built-in model makes it ideal for hobbyists and small teams, while enterprise-scale governance is absent.
Setup time & first value
How long it actually takes to get something useful out of Agent Teams Ai — broken out by persona, not the marketing-page minute.
Get from download to first task in under 15 minutes: install the desktop app, choose a model (or use the free built-in), create a team with roles, and give a goal. Basic familiarity with LLM APIs speeds up setup.
Switching to or from Agent Teams Ai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CLI-based agent tools (e.g., Claude Code CLI): import your existing prompt workflows by creating teams and agents in the Kanban board.
- →From chat-first IDEs (e.g., Cursor): copy your project into the app and set up agents to handle tasks instead of one-on-one chat.
- ↗To a cloud orchestration platform: export task logs and agent conversation history as plain text for reference.
- ↗To a traditional IDE: use Git worktree isolation to inspect agent-generated changes before merging with your main branch.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Agent Teams Ai”, and we withheld 6: 6 did not mention Agent Teams Ai. We are showing none, because we could not prove any of them are about Agent Teams Ai.
Official links
Tools that pair well with Agent Teams Ai
Common stack mates teams adopt alongside Agent Teams Ai, with the specific reason each pairing earns its keep.
Kiro
Spec-driven AI coding platform that turns prompts into executable specs and ships verified code with parallel agents.
Cognition AI
Autonomous software engineer that plans, writes, tests, and ships production code inside your existing codebase.
OpenHands
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
Featured Head-to-Head Comparisons
Agent Teams Ai vs Genspark
If you need a unified workspace for research, document creation, and building internal tools without coding, Genspark is the clear choice with its Sparkpage synthesis and AI Employee feature. If you are a developer looking to orchestrate autonomous AI agents for software development with granular code review and model flexibility, Agent Teams Ai offers a free, open-source solution that puts you in control. The core distinction is content creation vs. code generation.
Agent Teams Ai vs Air Ai
If you work in defense supply chains and need to compress materiel release times or achieve 90% equipment readiness, Air AI is your only choice. For developers building software with AI agent teams that plan, code, and review autonomously on a visual Kanban board, Agent Teams Ai is a powerful free tool. They serve completely different domains—pick the one that matches your mission.
Agent Teams Ai vs Notable
Choose Agent Teams AI if you're a developer wanting a free, multi-agent orchestration tool with full model control for building software autonomously. Choose Notable if you're a large health system needing AI to automate patient access, RCM, or care operations — it's purpose-built for healthcare but requires enterprise investment. There is no overlap; your domain decides.
Agent Teams Ai vs Locus Robotics
Agent Teams Ai vs Presto Voice
Agent Teams Ai vs Truleo
Alternatives to Agent Teams Ai
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Kiro
Spec-driven AI coding platform that turns prompts into executable specs and ships verified code with parallel agents.
Cognition AI
Autonomous software engineer that plans, writes, tests, and ships production code inside your existing codebase.
Frequently Asked Questions
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