Dorothy is live · free · last verified 26 Oct 2026 · viability monitor
Dorothy
Free, open-source macOS app that gives you one visual command center for running multiple AI coding agents side by side.
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 its Kanban board plus 3D Agent World make agent status readable at a glance. The Super Agent orchestrator and one-click skills.sh installs are the parts that save real time. But it's desktop-only and community-supported: no web or mobile client, no built-in API, and no RBAC, SSO, or compliance auditing. That last point is why teams needing cloud-hosted orchestration with enterprise controls should look at hosted multi-agent platforms instead, while individual Mac developers get more from Dorothy than from another single-chat
Verdict generatedVerified 4d ago · liveness 67/100 · cite: rightaichoice.com/tools/dorothy
- 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
- Teams that need cloud-hosted or server-based agent orchestration
- Anyone requiring mobile or web access
- Enterprises needing RBAC, SSO, or compliance auditing
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Skip Dorothy if you need cloud-hosted orchestration, a web or mobile client, or enterprise controls like RBAC, SSO, and compliance auditing — it is a local macOS app with community support and no vendor SLA.
Running many agents on hosted models like Claude, Codex, or Gemini bills you directly with those providers — Dorothy itself is free, but your API or subscription spend is not.
Dorothy is free and open source, so on software cost it undercuts every paid multi-agent orchestration platform you might compare it to. The trade is that you take on your own model spend — hosted Claude, Codex, or Gemini usage is billed by those providers, while Ollama stays free on your own hardware. For solo Mac developers that math is usually favourable; for teams needing cloud hosting, SSO, and an SLA, the paid platforms carry costs Dorothy simply doesn't have.
In short
Dorothy — Free, open-source macOS app that gives you one visual command center for running multiple AI coding agents side by side. 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 is Dorothy?
Dorothy — Free, open-source macOS app that gives you one visual command center for running multiple AI coding agents side by side. 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.
Dorothy is a free, open-source macOS desktop app for people who already run several AI coding agents and are tired of juggling separate chat windows. It puts a multi-agent terminal in one window so you can run Claude, Codex, Gemini, Ollama, and other local models side by side, and mix providers per project. On top of that sits a Super Agent orchestrator: give it a task and it delegates to the agents whose skills fit. A drag-and-drop Kanban board lets agents auto-pick work by skill, and a 3D Agent World view shows at a glance which agents are busy and which are idle. Community skills from skills.sh install with one click, and agents can process GitHub issues, JIRA tickets, Telegram, and Slack items automatically. Everything runs on your Mac, needs no account, and keeps your code and context local — which is why it appeals to privacy-conscious solo developers and small Mac-based teams rather than enterprises wanting cloud orchestration.
Key features
- Multi-agent terminal running Claude, Codex, 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 issue and ticket 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
- Full interactive terminal access
- macOS desktop app
- Free, open source, no account required
Behind the verdict
Dorothy's pitch is narrow and honest: you already have agents, you just have too many windows. The multi-agent terminal is the core — it runs Claude (Anthropic), Codex (OpenAI), Gemini (Google), Ollama, and other local models side by side, with full interactive terminal access and per-project provider mixing. The Super Agent layer is the more interesting bet: instead of you copy-pasting between agents, you hand it a task and it delegates to agents with the right skills. Whether that delegation is genuinely useful or just a nicer queue depends on how your work maps to skills, but the Kanban board with skill-based auto-pickup gives you a manual override when it isn't. The 3D Agent World is cosmetic, and the site says so ('Because why not'), but it does solve a real problem: knowing which agent is busy versus idle without reading logs. Where Dorothy earns its keep is the automation glue. GitHub issue and JIRA ticket processing, plus Telegram and Slack bots, mean agents can pick up work from the tools you already use, and skills.sh installs community skills with one click instead of asking you to write integration code. Running everything locally with no account is the other differentiator — your code and context stay on your machine, which matters if your employer won't let you ship source to a hosted orchestrator. The trade-offs are structural, not fixable with a settings toggle. It's a macOS app, so Windows and Linux developers are out. There's no built-in API documented, no web or mobile client, and no RBAC, SSO, or compliance auditing — that rules out most enterprise security reviews. Support is community-based through GitHub Issues and X/Twitter rather than a vendor SLA, so if something breaks on your macOS version you're debugging it with other users. Treat it as a power tool for individual Mac developers and very small teams: high leverage, no safety net, and no procurement story.
Models under the hood
as of 2026-10-25
Limitations
- Dorothy is a macOS desktop application — the site only offers a Mac download, with no web or mobile client.
- No built-in API is documented.
- Documented integrations are limited to GitHub, JIRA, Telegram, Slack, and 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.
- Check the app itself for current multi-agent terminal, Super Agent, Kanban, and 3D Agent World behavior on your macOS version.
as of 2026-10-09
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Is Dorothy still active?
Dorothy is live · free · last verified 26 Oct 2026 · viability monitor.
Viability score
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
Last calculated: October 2026
How we score →What do users say about Dorothy?
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.
How we verified this
Every listed fact about Dorothy— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Dorothy 11 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.
- — changed SSL certificate
- — changed switching in, hidden costs, limitations, who should skip it, setup time, our verdict, description, pricing fit, models, features, switching out, summary
- — changed pricing tiers, description, our verdict, features, limitations, switching in, switching out, who should skip it, who it suits, pricing fit, setup time, summary, use cases
- — changed limitations
- — changed domain expiry
- — changed SSL certificate
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Dorothy cost in 2026?
Dorothy: Free to use. Pricing last verified 26 Oct 2026.
Plans compared
Every published Dorothy tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free Forever | Free | — | Solo Mac developers and small Mac-based teams who want multi-agent orchestration locally without a software bill or an account.Adds: Starting tier — free, open source, and no account required, covering the multi-agent terminal, Super Agent orchestrator, Kanban board, 3D Agent World, skills.sh installs, and the GitHub, JIRA, Telegram, and Slack automations. |
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.
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 and open source, so on software cost it undercuts every paid multi-agent orchestration platform you might compare it to. The trade is that you take on your own model spend — hosted Claude, Codex, or Gemini usage is billed by those providers, while Ollama stays free on your own hardware. For solo Mac developers that math is usually favourable; for teams needing cloud hosting, SSO, and an SLA, the paid platforms carry costs Dorothy simply doesn't have.
Has Dorothy's pricing changed?
No plan price for Dorothy has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Dorothy?
Pick Dorothy if you are 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.
Look elsewhere if you are Teams that need cloud-hosted or server-based agent orchestration, Anyone requiring mobile or web access, Enterprises needing RBAC, SSO, or compliance auditing, Beginners looking for a single-chat AI assistant.
Skip it if Skip Dorothy if you need cloud-hosted orchestration, a web or mobile client, or enterprise controls like RBAC, SSO, and compliance auditing — it is a local macOS app with community support and no vendor SLA.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Dorothy actually fits — and what changes day-one when you adopt it.
Opens Dorothy, runs Claude in one terminal pane for the API work and Codex in another for the front-end, then adds the same task to the Kanban board so whichever agent frees up first can auto-pick it by skill.
Outcome: One window instead of four chat tabs, with the 3D Agent World showing at a glance which agent is still busy before they queue the next task.
Connects GitHub in Dorothy's automations, lets agents pick up new issues, and uses JIRA automation for the tickets that need cross-referencing, reviewing output in the multi-agent terminal before anything merges.
Outcome: Issue triage and ticket processing happen without anyone manually pasting issue text into a chat window, and every agent action stays on the team's own machines.
Installs Ollama locally, points Dorothy at a local model for anything touching proprietary source, and keeps a hosted provider available only for public or generic code.
Outcome: Agent work and code context never leave the Mac for the sensitive paths, so the workflow survives a security review that would block a hosted orchestrator.
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
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.
For a solo Mac developer already running Claude or Codex, Dorothy is a download-and-go install — expect roughly 10–15 minutes to first useful value, most of it confirming your existing agent credentials work inside the terminal. Adding Ollama for local models or wiring the GitHub, JIRA, Slack, or Telegram automations is a separate sitting, realistically 30–60 minutes per integration if you need
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.
- →From separate terminal windows: install Dorothy, point the multi-agent terminal at the same Claude, Codex, or Gemini CLIs you already run, and move task tracking onto the Kanban board.
- →From a single-chat AI assistant: keep your existing provider credentials, add a second agent in Dorothy for comparison work, and let the Super Agent pick the delegate per task.
- →From a hosted orchestration platform: replicate your task list as Kanban cards, re-install the equivalent skills from skills.sh, and switch model routing to local Ollama where code cannot leave the Mac.
- ↗To a cloud-hosted multi-agent platform: export your task list from the Kanban board and re-create the automations in the hosted tool's integration directory.
- ↗To plain terminal usage: your agent CLIs and provider credentials keep working outside Dorothy, so you mainly lose the Kanban view and 3D Agent World observability.
- ↗To an enterprise agent platform: expect to rebuild RBAC, SSO, and audit logging from scratch, since Dorothy has none of those controls to export.
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
What are the best Dorothy alternatives?
The closest alternatives to Dorothy we list are Shob, emdash and Wesight. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Shob | Free | Free | — |
| emdash | Free | Free | — |
| Wesight | Free | Free | — |
Alternatives to Dorothy
View all
Tools that pair well with Dorothy
Common stack mates teams adopt alongside Dorothy, with the specific reason each pairing earns its keep.
Shob
Open-source, MIT-licensed terminal workspace for running and orchestrating multiple AI coding agents in parallel.
emdash
Emdash is an open-source agentic development environment for running parallel CLI coding agents in isolated Git worktrees.
Wesight
WeSight is an open-source desktop workspace that runs Claude Code, Codex and other CLI coding agents side by side.
Dorothy vs its closest rival
Dorothy's closest head-to-head is with Presto Voice — If you run a QSR chain and want to automate drive-thru ordering with proven upselling, Presto Voice is the clear choice. If you're a developer managing multiple AI agents for coding and task automation, Dorothy's open-source desktop orchestrator is powerful and free. They serve entirely different needs; your decision hinges on whether you operate drive-thrus or write code. Verdict generated
Head-to-head comparisons
Dorothy vs Presto Voice
If you run a QSR chain and want to automate drive-thru ordering with proven upselling, Presto Voice is the clear choice. If you're a developer managing multiple AI agents for coding and task automation, Dorothy's open-source desktop orchestrator is powerful and free. They serve entirely different needs; your decision hinges on whether you operate drive-thrus or write code.
GeneratedDorothy vs Locus Robotics
Locus Robotics and Dorothy serve entirely different domains: Locus is a industrial-grade warehouse automation platform using AMRs and AI orchestration, while Dorothy is a free, open-source desktop tool for managing multiple AI coding agents. Choose Locus if you need to boost physical fulfillment productivity by 2-3x; choose Dorothy if you want a visual dashboard to coordinate AI agents in software development. There is no direct competition.
GeneratedDorothy vs Truleo
Truleo and Dorothy serve entirely different domains: Truleo is a specialized AI intelligence platform for law enforcement, while Dorothy is an open-source desktop orchestrator for developers managing multiple AI agents. Your choice depends on whether you need to connect and analyze siloed case data (choose Truleo) or coordinate multiple coding agents visually (choose Dorothy). There is no overlap in use cases.
GeneratedFrequently asked questions
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