Dorothy

Dorothy

Free, open-source macOS command center for running and orchestrating multiple AI coding agents visually.

67/100MonitorFreeFree

If you're a Mac developer already running several coding agents and losing track of them, Dorothy is an easy yes — it's free, open source, needs no account, and gives you a Kanban board plus a 3D office view that make agent status readable at a glance. The Super Agent orchestrator and one-click skills.sh installs are the parts that actually save time. But it's a desktop-only, community-supported tool: no web or mobile client, no built-in API, and no RBAC, SSO, or compliance auditing. Teams that need cloud-hosted orchestration or enterprise controls should look at hosted multi-agent platforms instead.

Verified 1d ago · liveness 67/100 · cite: rightaichoice.com/tools/dorothy

Best for
  • Mac-based developers running multiple AI coding agents
  • Small Mac teams automating task processing with agents
  • Hobbyists exploring multi-agent orchestration visually
  • Privacy-conscious developers who prefer local processing via Ollama
Not ideal for
  • Teams that need cloud-hosted or server-based agent orchestration
  • Anyone requiring mobile or web access
  • Enterprises needing RBAC, SSO, or compliance auditing
Visit Website

IntermediateSolo Mac developer: a few minutes to download the app, add your API keys or point it at Ollama, and run your first agent in the terminal. Small teams adding GitHub/JIRA automation: a bit longer, since you configure each integration and install skills from skills.sh before agents can auto-pick work. No account creation is required at any point.DesktopNo public APIVerified 1d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
Solo Mac developer: a few minutes to download the app, add your API keys or point it at Ollama, and run your first agent in the terminal. Small teams adding GitHub/JIRA automation: a bit longer, since you configure each integration and install skills from skills.sh before agents can auto-pick work. No account creation is required at any point.
Runs on
Desktop
No public API · 5 integrations
Who it's for
Solo Mac developerSmall Mac-based product teamDeveloper comparing model outputs
Live sentiment
Is Dorothy actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Dorothy if you need cloud-hosted, browser-based, or mobile agent orchestration, enterprise SSO/RBAC and audit controls, or a vendor-backed support SLA rather than a community-run open-source Mac app.

The 30-second take
Price reality

Dorothy is free forever with no published tiers, no seat fees, and no usage charges listed — it undercuts hosted multi-agent orchestration platforms that bill per seat or per agent run. The real cost is indirect: you supply your own API keys or local models for Claude, Codex, Gemini, and Ollama, so heavy agent use shows up on your model provider bill, not Dorothy's.

In short

Dorothy — Free, open-source macOS command center for running and orchestrating multiple AI coding agents visually. Best for Mac-based developers running multiple AI coding agents, Small Mac teams automating task processing with agents, Hobbyists exploring multi-agent orchestration visually. Free to use.

What people actually say about Dorothy — is it worth it?

We scanned public community sources for Dorothy on Aug 14, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

67/100
Monitor

How well maintained and how widely used is Dorothy? 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

Recent activity
90
Traction
100
Site health
95
User sentiment
37
What the vendor publishes
20

Last calculated: September 2026

How we score →

Key Features

  • Multi-agent terminal running Claude, Codex, OpenAI, Gemini, Ollama, and local LLMs side-by-side
  • Super Agent orchestrator that delegates tasks to agents by skill
  • Kanban board with drag-and-drop task management and skill-based auto-pickup
  • 3D Agent World animated office view showing agent busy/idle status
  • One-click installation of community skills from skills.sh
  • GitHub automation for ticket and issue processing
  • JIRA automation for ticket processing
  • Telegram bot integration
  • Slack bot integration
  • Usage analytics
  • Local LLM support via Ollama
  • Mix and match AI providers per project
  • Free forever, open source, no account required
  • macOS desktop app (no web or mobile client)

About Dorothy

FreeIntermediateNo APIDesktop

Dorothy is a free, open-source macOS app that gives you one window for all your AI coding agents instead of a pile of separate chat tabs. Inside it you get a multi-agent terminal for running agents side-by-side, a Super Agent orchestrator that takes a task and delegates it to agents with the right skills, a drag-and-drop Kanban board where agents auto-pick work by skill, and a 3D Agent World that shows which agents are busy or idle. Dorothy works with Claude (Anthropic), Codex (OpenAI), Gemini (Google), and local models through Ollama, and you can mix and match providers per project. Community skills from skills.sh install with a single click, and agents can process GitHub, JIRA, Telegram, and Slack items automatically. Everything runs locally on your Mac with no account required, which keeps your code and context on your machine. It's built for solo developers and small Mac-based teams who want hands-on control and observability over agent work, not for anyone who needs a cloud-hosted, web, or mobile orchestration layer.

Behind the Verdict

Dorothy's pitch is narrow and honest: AI coding agents are useful but they multiply into chaos, and this app is the control panel. The strongest pieces are the ones that remove coordination overhead. The Super Agent orchestrator takes a task and routes it to agents by skill, so you're not manually deciding who does what. The Kanban board is more than decoration — agents auto-pick work by skill and you can reassign by drag-and-drop, which turns agent management into normal task management. The multi-agent terminal is the least glamorous but most practical feature for developers who want to watch and intervene directly. Provider flexibility is a real strength. Dorothy states support for Claude (Anthropic), Codex (OpenAI), Gemini (Google), and local LLMs via Ollama, and lets you mix providers per project — useful if you want to compare outputs or keep sensitive work on a local model. The integrations that matter for day-to-day work are covered at a basic level: GitHub, JIRA, Telegram, and Slack, with agents processing items automatically. The 3D Agent World is a gimmick, but a genuinely useful one for observability when you have several agents running. Where it doesn't fit: this is a macOS-only desktop app with no web or mobile version, no built-in API, and four documented integrations plus skills.sh. There's no RBAC, SSO, or compliance auditing, and support is community-driven rather than a vendor SLA. It's also not a starting point — if you want a single chat assistant, Dorothy adds orchestration complexity you don't need. Treat it as an open-source power tool for people already committed to multi-agent workflows on a Mac.

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Real-world workflow fit

Concrete scenarios for the personas Dorothy actually fits — and what changes day-one when you adopt it.

Solo Mac developer

You install Dorothy, connect Claude and a local Ollama model, and open the multi-agent terminal to run both on a refactor. You hand the Super Agent a task list and watch it delegate work to whichever agent has the matching skill.

Outcome: You stop switching between chat windows and see every agent's progress in one place, with sensitive work routed to the local model.

Small Mac-based product team

You connect GitHub and JIRA, install relevant skills from skills.sh, and let agents auto-pick incoming issues from the Kanban board by skill.

Outcome: Issue triage and ticket processing happen automatically, and you reassign work by dragging cards when priorities change.

Developer comparing model outputs

You run the same coding task through Claude, Codex, and Gemini side-by-side in the multi-agent terminal on the same project.

Outcome: You pick the provider that performs best for that task type and keep the winning agent on the project.

Use Cases

  • Run several coding agents in one terminal instead of juggling separate chat windows
  • Give the Super Agent a complex task and let it delegate to agents with the right skills
  • Track agent work on a Kanban board and drag tasks between agents when priorities shift
  • Automate GitHub issue triage and JIRA ticket processing with AI agents
  • Compare outputs by running the same task through agents from different providers
  • Install community skills from skills.sh to extend agent capabilities without writing code
  • Monitor which agents are busy or idle via the 3D Agent World view
  • Keep agent work and code context on your own Mac with local LLM support

Models Under the Hood

ClaudeCodexOpenAIGeminiOllamaLocal LLMs

as of 2026-09-09

Limitations

  • Dorothy is a macOS desktop application — the site only offers a Mac download, with no web or mobile client.
  • There is no built-in API documented.
  • Documented integrations are limited to GitHub, JIRA, Telegram, and Slack, plus skills from skills.sh.
  • There is no RBAC, SSO, or compliance auditing, so it won't clear most enterprise security reviews.
  • As an open-source project, support comes from the community (GitHub Issues and X/Twitter) rather than a vendor SLA.
  • Users should check the app for the current multi-agent terminal, Super Agent, Kanban, and 3D Agent World behavior on their own macOS version.

as of 2026-09-14

Verification history

We have re-verified Dorothy 7 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.

  1. re-checked, vendor evidence unchanged
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-checked, vendor evidence unchanged
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

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.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Dorothy tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free Forever

$0/mo

Ideal for

Mac-based developers and small teams who want multi-agent orchestration without a subscription and are willing to run it locally.

What this tier adds

Starting tier and only tier — free, open source, no account, includes the Super Agent orchestrator, multi-agent terminal, Kanban board, 3D Agent World, skills.sh installs, and GitHub/JIRA/Telegram/Slack automations.

Where the pricing makes sense

The company stage and team size where Dorothy's pricing actually pencils out — and where peers do it cheaper.

Dorothy is free forever with no published tiers, no seat fees, and no usage charges listed — it undercuts hosted multi-agent orchestration platforms that bill per seat or per agent run. The real cost is indirect: you supply your own API keys or local models for Claude, Codex, Gemini, and Ollama, so heavy agent use shows up on your model provider bill, not Dorothy's.

Setup time & first value

How long it actually takes to get something useful out of Dorothy — broken out by persona, not the marketing-page minute.

Solo Mac developer: a few minutes to download the app, add your API keys or point it at Ollama, and run your first agent in the terminal. Small teams adding GitHub/JIRA automation: a bit longer, since you configure each integration and install skills from skills.sh before agents can auto-pick work. No account creation is required at any point.

Switching to or from Dorothy

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From separate agent chat windows: install Dorothy, add the same provider keys or Ollama endpoint, and move recurring tasks onto the Kanban board so agents auto-pick them.
  • From manual GitHub/JIRA triage: connect the GitHub and JIRA integrations and install matching skills from skills.sh so agents process new items automatically.
  • From hosted multi-agent platforms: replicate the workflow locally by assigning the same provider mix per project and using the Super Agent in place of cloud orchestration.
Migrating out
  • To a hosted multi-agent platform: export your task lists from the Kanban board, re-create them in the hosted tool, and reconnect GitHub/JIRA through that platform's integrations.
  • To direct command-line agent use: drop Dorothy and run your providers' CLIs directly, accepting that you lose the Kanban board and 3D status view.

Integrations

GitHubJIRATelegramSlackskills.sh

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Dorothy”, and we withheld 6: 6 could not be judged, because “Dorothy” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Dorothy.

Official links

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Frequently Asked Questions

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