Best Multi-Agent Desktop Apps in 2026: 8 Apps Compared

Why "Multi-Agent" Became the Real Category in 2026

Through 2024 and 2025 the AI coding conversation was about editors: which IDE has the better autocomplete, which chat panel understands your repo. That argument is settled enough that it stopped being interesting. The question that actually separates tools in 2026 is narrower and more practical: how many agents can one person supervise at once, and what happens to their work when they collide?

A single agent is a fast typist. Several agents working the same codebase at the same time is a coordination problem — branches, ports, databases, files, and context all interfering. The tools below are the ones that took that problem seriously and built a desktop-class surface for it. Most of them converged on the same isolation primitive: one git worktree per task. Where they differ is everything around it — which agents they can drive, which models they can reach, which operating systems they run on, and how you pay.

Disclosure: this blog is published by Doforu, which is one of the eight apps below. We have marked our own entry and kept every other claim tied to a vendor's public documentation or pricing page. Check current details with each vendor before you buy — pricing in this category moves monthly.

What Counts as a Multi-Agent Desktop App

We used three tests, applied strictly:

1. It runs locally. A program on your own machine — GUI or terminal — not a hosted dashboard you open in a browser tab.
2. It runs agents concurrently. Not "supports multiple projects," but more than one agent working at the same time on the same goal or repo.
3. You can see and steer each one. A list, a workspace switcher, a pane per agent — something that lets you interrupt the wrong turn before it becomes a wrong PR.

That rules out a lot of tools that get called "multi-agent" in marketing:

• Cloud agent platforms (Replit, Lovable, Bolt) execute remotely. Useful, but the execution model is a browser and a remote sandbox, not your desktop.
• Single-agent IDEs still dominate: Cursor, Zed and Devin Desktop's Cascade run one agent sequentially. Excellent products — just a different category.
• Bare CLIs (Codex CLI, Gemini CLI) do one agent per terminal. You can run six terminals, but the coordination is your job, done by hand.

The Comparison

Pricing is as of late October 2026 and changes frequently. Three-year maths for each app is on its own comparison page — see the links in each section below.

The Eight Apps

Doforu — the one-purchase local orchestrator

What it is: a desktop agent orchestrator for macOS, Windows and Linux. You give it a goal; it decomposes the goal into subagents and dispatches them simultaneously, then hands back the result.

Why it is on the list: it is the only app here that combines parallel dispatch with a perpetual licence — $49 once, including a year of updates, with a free trial — instead of a monthly seat. It also treats local models as first-class: 15+ model families, including OpenAI, Anthropic, Google, DeepSeek, Qwen, Kimi, MiniMax and GLM, plus local weights through Ollama or vLLM, all on your own keys (BYOK, no markup). Orchestration runs locally; point it at local models and nothing leaves the machine. There are three modes — Plan, Agent, Orchestrator — and reusable natural-language Skills (SKILL.md) for repeatable workflows.

The honest caveat: it is the youngest product in this table. Conductor is more polished on macOS, Superset has a wider integration surface, and Orca and Emdash are open source in a way Doforu is not. If you need an auditable source tree today, the open-source options below are the right call.

Best for: developers who want parallel execution, model freedom and a one-time price on Windows or Linux — where Conductor does not run at all.

Conductor — the polished macOS runner

What it is: a macOS desktop app (plus mobile, Conductor Cloud and an API) built around a simple idea — every task gets its own workspace with its own branch, files and terminal.

Strengths: the most mature macOS experience in the category, and genuinely parallel out of the box. It ships no models of its own; it runs Claude Code, Codex, Cursor and OpenCode on your existing subscriptions and keys, which means the tool adds no token markup and you keep whatever plans you already pay for.

Caveat: macOS only. If your team is mixed, half of it is excluded on day one. Pricing climbs fast at team scale — Pro is $50/month, Teams $60/user/month, which is $1,800 per developer over three years against a one-time $49.

Best for: solo Mac developers already paying for Claude Code or Codex who want a clean parallel workspace layer.

Superset — the agentic IDE with the widest surface

What it is: an agentic IDE rather than a runner: desktop app, iPhone/iPad apps, a CLI, a TypeScript SDK and an MCP server, with one git worktree per task plus event and schedule triggers.

Strengths: the integration surface is the largest here. If you want agents kicked off by a schedule or an event, or you want to script the orchestration itself through a TypeScript SDK or MCP, nothing else in this table is close.

Caveat: no Windows build yet (macOS on Apple Silicon and Intel, plus Linux AppImage/.deb), and the price ladder has five tiers — Free, Pro $16/month annual, Team $54, Ultra $200/user/month, Enterprise — which is a lot of decisions before you write code.

Best for: teams that want to automate and script agent workflows, not just run them by hand.

Orca — the open-source agent cockpit

What it is: an "agent development environment" — desktop app plus mobile apps and a CLI. It runs any CLI agent it can find, and one prompt can fan out to several agents in separate worktrees.

Strengths: genuinely cross-platform (macOS, Windows, Linux, iOS, Android) and the desktop app is free and open source, with enterprise pricing only for the managed tier. The "any CLI agent" approach means you are not locked into one vendor's agent.

Caveat: driving arbitrary CLI agents is powerful and also means the quality ceiling is whatever those agents are — Orca coordinates, it does not add intelligence. Enterprise features sit behind custom pricing.

Best for: teams that already standardised on CLI agents and want an open, cross-platform cockpit above them.

Emdash — the Apache-2.0 worktree workspace

What it is: an open-source agentic development environment distributed as a desktop app. Parallel tasks, each in its own branch and worktree, driven from the app.

Strengths: the simplest licensing story on this list — free, Apache-2.0, on all three desktop platforms. For an individual or a small team that wants worktree isolation with a real GUI and no invoice, this is the shortest path.

Caveat: you supply everything else — models, keys, and any orchestration logic beyond "run these tasks in parallel." It is a workspace, not a model strategy.

Best for: developers who want the worktree-per-task pattern in a GUI without paying anything.

Claude Squad — the terminal purist's answer

What it is: a terminal app (Go, TUI) built on tmux and gh. One session per agent, each in its own workspace and worktree, managed from a terminal UI.

Strengths: free and AGPL-3.0, tiny, and it fits people who already live in tmux. Because it leans on gh, the branch-and-PR loop is close to native.

Caveat: it is a TUI, not a desktop GUI — no visual pane per agent beyond tmux. It is also macOS and Linux only. If you want to see six agents at a glance, this is not that product.

Best for: terminal-native developers who want parallel agents without a new app layer.

Nimbalyst — workspace plus shared wiki

What it is: an agentic workspace: desktop app, an iOS app and a shared wiki, with parallel sessions one per worktree driven through the app's UI.

Strengths: the shared wiki is the differentiator — it treats the team's written context as part of the workspace rather than an afterthought, which matters once several agents are reading the same conventions. Cross-platform on all three desktops.

Caveat: the app is free but the collaboration features are priced separately (Wiki Teams at $20/user/month, currently in beta), so the "free" tier and the team tier are different products in practice.

Best for: small teams that want agent workspaces and shared documentation in one place.

Goose — the generalist that is not built for parallelism

What it is: Block's open-source general-purpose agent, available as a desktop app, a CLI and an embeddable API.

Strengths: genuinely free (Apache-2.0), provider-agnostic, and designed to be extended and embedded — you can run it locally, wire your own provider and pay only the provider. Its local-first posture is real.

Caveat: it is included here to be precise about the boundary. Goose runs a local single-agent session; async and parallel execution are not its headline feature. It is an excellent general agent, but if your problem is "six tasks at once," it is not the tool solving that.

Best for: developers who want one extensible local agent, not a fleet.

How to Choose in Five Questions

1. Do you actually need parallel execution? If your work is one file at a time, a sequential IDE such as Cursor or Zed is a better tool and cheaper. Parallelism pays off when tasks are independent — feature branch plus tests plus docs, or a refactor split by module.

2. Which operating system? This alone eliminates half the list. Conductor is macOS only. Superset has no Windows build yet. Claude Squad runs on macOS and Linux. If you are on Windows, your real candidates are Doforu, Orca, Emdash and Nimbalyst.

3. Do you need local models or an offline setup? Most of these apps drive whatever agent you give them, so "local" depends on that agent. Only Doforu and Goose advertise local inference as a first-class path (Ollama/vLLM). For an air-gapped requirement, check each vendor's current documentation rather than assuming.

4. How do you want to pay? This is the widest gap in the table. Free and open source: Emdash, Orca (desktop), Claude Squad, Goose. Perpetual: Doforu at $49. Subscription: Conductor ($50/month Pro), Superset ($16–$200/user/month), Nimbalyst (Wiki Teams $20/user/month). Three years of Conductor Pro costs $1,800 per developer; three years of Doforu costs $49.

5. Do you need a GUI or is a TUI fine? If you supervise agents by watching them, you want panes and a switcher. If you supervise by reading diffs, Claude Squad's terminal model may be faster and lighter.

The Real Bottleneck Is Context, Not Concurrency

Every app here has solved file collisions with worktrees. None of them has solved knowledge collisions. Six agents on six branches still share one set of conventions, one API contract, one database schema — and when they disagree, you get six plausible diffs that contradict each other.

That is why the second-order features matter more than the parallelism count: reusable Skills, shared wikis, custom instructions, MCP servers, and any mechanism for handing a decision to a subagent instead of re-deriving it. For the wider argument, see why sequential AI coding hits a wall and what an agent orchestrator actually is.

The practical test when you evaluate any of these apps: run two agents on tasks that touch the same interface, then see how much of the reconciliation is still manual. That number, not the agent count on the marketing page, is what you are buying.

Newer Entrants Worth Watching

The category is moving fast. During 2026 several established vendors shipped desktop orchestration of their own — JetBrains Air, GitHub's Copilot desktop orchestration, and Orchestrator.inc's desktop workspace among them — and smaller tools appear monthly. We have not run them head-to-head, so we are not ranking them here. If you evaluate one, check four things: does it isolate files per agent, can it run agents you already pay for, what happens to your context when two agents disagree, and what the total cost is at year three.

FAQ

Bottom Line

If your constraint is macOS and you already pay for Claude Code or Codex, Conductor is the most polished answer. If you need to script and automate agent workflows, Superset has the widest surface. If you want open source and a GUI, Emdash or Orca — and if you want a terminal, Claude Squad. If you are on Windows or Linux, need local models, or object to paying monthly for the coordination layer itself, Doforu is the one in this table built for exactly that combination: parallel dispatch, 15+ model families including local weights, $49 once.

Whichever you pick, run the same two-agent test on it. Everything else — the pane layout, the colour scheme, the agent count — is secondary to whether the reconciliation is still manual.

Want to try a local-first multi-agent desktop app on macOS, Windows or Linux? Download Doforu, or read the side-by-side comparisons: vs Conductor, vs Superset, vs Orca, vs Emdash, vs Claude Squad, vs Nimbalyst, vs Goose. For the money side of the decision, see our AI coding tools cost comparison and the BYOK explainer.