XDA published a piece last week from a developer who split a single afternoon’s work across five Claude Code subagents and burned through their weekly usage window in under an hour. The numbers were striking, but the takeaway buried in the comments was more interesting: most readers had already moved on from one-agent-per-prompt and were running fan-out workflows of their own. Multi-agent AI coding has shifted from research demo to default. The newer apps assume you will run several agents at once, and they bill, sandbox, and surface them accordingly.
We tested 7 of the best apps for multi-agent AI coding on Windows, macOS, and Linux. The benchmark was the boring stuff: how the orchestrator hands work to children, whether the sandbox keeps a runaway agent from touching the wrong branch, how fast the tool burns through a quota when four agents are live, and whether you can actually see what each one is doing without alt-tabbing between five terminals. Pricing varies wildly, and the cheap-looking options often turn out to be the most expensive once you wire them to a frontier model.
What to look for in a multi-agent coding app
A handful of criteria separate the tools that survive a real refactor from the ones that look great in a demo:
- Orchestration model. Some tools spawn child agents from a lead, others let you launch N peers on the same prompt and pick the best diff. Fan-out plus fan-in beats either alone for non-trivial work.
- Model flexibility. The strongest options let you mix providers per agent: Claude for planning, a cheaper model for grunt tasks, a local model for sensitive code. Lock-in to a single vendor is the most expensive default.
- Sandbox and isolation. Parallel agents writing to the same files is a recipe for merge hell. Git worktrees, remote VMs, or container isolation are the three viable answers.
- Cost controls. Budget caps per session, per agent, and per day. Without them the XDA story repeats: a single afternoon eats a week of quota.
- Custom subagent definition. The ability to define specialist agents (test-writer, security-reviewer, migration-runner) with their own prompts, tools, and model is what separates a toy from a harness.
- IDE and CLI integration. Some teams want the agents in their editor, others want them on a server triggered from Slack. The best tools do both.
- Observability. A queue or board view that shows every live agent, its current step, and its token spend is the difference between confidence and panic.
Quick comparison
| App | Best for | Platforms | Free plan | Standout feature |
|---|---|---|---|---|
| Claude Code | Subagent fan-out from a CLI you can script | Windows, macOS, Linux | No (API or Claude subscription required) | Custom subagent files in .claude/agents/ |
| Cursor | Parallel agents in an editor with cloud and local execution | Windows, macOS, Linux | Yes (free tier) | Run up to 8 agents on one prompt with worktrees |
| Cline | Open-source VS Code agent with team-grade parallel execution | Windows, macOS, Linux | Yes (open source, BYO API key) | Kanban board for parallel agent tasks |
| Continue.dev | Configurable open-source IDE assistant with model-per-role routing | Windows, macOS, Linux | Yes (open source) | YAML config for per-task model and tool selection |
| Aider | Terminal-native pair programmer with architect and editor split | Windows, macOS, Linux | Yes (open source, BYO API key) | Architect/editor model split inside one repo session |
| OpenHands | Self-hostable autonomous agent platform for long-running tasks | Docker (any OS) | Yes (open source) | Headless multi-agent runs with Slack and Linear hooks |
| Kilo Code | All-in-one VS Code extension that folds Cline and Roo Code modes | Windows, macOS, Linux | Yes (open source, BYO key) | Architect, Code, and Debug modes in one extension |
The 7 best apps for multi-agent AI coding on desktop
1. Claude Code — best for subagent fan-out from a scripted CLI
Claude Code is the tool the XDA piece was actually about, and it is the most opinionated entry on this list. A subagent is a markdown file in .claude/agents/ with its own system prompt, tool allowlist, and model. The lead agent fans out to children in parallel, each runs in its own context window, and the lead synthesises the result. The June 2026 Dynamic Workflows release pushed the practical ceiling from three or four concurrent subagents to tens or even hundreds for genuinely parallel tasks like benchmark sweeps. Hooks let you wire deterministic behaviour around any tool call.
Where it falls short: Usage limits are the recurring complaint. Fan-out is exhilarating until the weekly window resets and you remember you spent an hour generating four near-identical diffs. The CLI has a learning curve, and the subagent system rewards careful prompt design rather than ad-hoc tinkering.
Pricing:
- Free: none (requires a Claude subscription or API credit)
- Paid: Pro, Max, and Team plans for the apps, or API metered billing
Platforms: Windows, macOS, Linux
Download: claude.com/claude-code
Bottom line: Pick Claude Code if you want the cleanest subagent primitive, are willing to learn its harness, and can budget for the tokens.
2. Cursor — best parallel-agent editor for mixed local and cloud work
Cursor went all-in on multi-agent with version 2.0 in late 2025 and pushed it further with Cursor 3 in April 2026. The headline is the Agents Window: a sidebar that shows every active session across every repo, local or cloud. The /multitask command distributes a single prompt across up to eight asynchronous subagents, each on its own git worktree or remote VM, so they can edit and run code without stepping on each other. Background agents keep running while you close the laptop, and you can drive them from the desktop app, the mobile app, the web, Slack, GitHub, or Linear.
Where it falls short: The agent-first UI in Cursor 3 is a sharp departure from the classic editor layout, which has split the existing user base. Heavy background-agent usage adds quickly on the Pro plan and faster on the Ultra plan.
Pricing:
- Free: Hobby tier with limited completions and agent runs
- Paid: Pro, Business, and Ultra plans
Platforms: Windows, macOS, Linux
Download: cursor.com
Bottom line: Pick Cursor if you want an editor that treats parallel agents as a first-class object and you are comfortable with a UI that has been rebuilt around them.
3. Cline — best open-source VS Code extension for team-grade parallel runs
Cline started as a single-threaded VS Code agent and matured during 2026 into a tool that several engineers can point at the same backlog. Parallel agent execution sits behind a Kanban-style board: queue tasks, watch agents pick them up, review the diffs as they land. The standalone CLI is now solid enough to wire into CI, and Slack and Linear integrations make it usable as a remote worker rather than an editor sidebar. Because Cline is bring-your-own-key, you can route different tasks to different providers without leaving the extension.
Where it falls short: The board interface is powerful but adds operational overhead small projects do not need. Bring-your-own-key means you carry every dollar of model spend directly, which is fairer than a markup but less predictable than a flat subscription.
Pricing:
- Free: open-source, no licence fee (BYO API key)
- Paid: optional Cline-hosted billing for teams that want consolidated invoicing
Platforms: Windows, macOS, Linux
Download: cline.bot
Bottom line: Pick Cline if you want an open-source agent in VS Code, you want to bring your own model keys, and you intend to run more than one agent at a time.
4. Continue.dev — best open-source assistant with model-per-role routing
Continue.dev is the IDE extension for developers who want explicit control over which model handles which task. A YAML config file maps roles (chat, autocomplete, edit, agent) to specific models and tool sets, so you can route planning to a frontier model, autocomplete to a fast local one, and a long-running agent to whichever provider is cheapest at the time. Plugs into VS Code and JetBrains, and the assistant graph supports custom agents that call out to tools you define.
Where it falls short: The orchestration story is less prescriptive than Claude Code or Cursor: there is no built-in fan-out command, you compose multi-agent behaviour yourself through the config and tool definitions. That flexibility costs you setup time on the first project.
Pricing:
- Free: open-source, no licence fee
- Paid: Continue Hub plans for team config sharing and management
Platforms: Windows, macOS, Linux (VS Code and JetBrains IDEs)
Download: continue.dev
Bottom line: Pick Continue.dev if you want an open-source assistant where you, not the vendor, decide which model does which job.
5. Aider — best terminal-native pair with an architect/editor split
Aider stays in the terminal and does one thing very well: it pairs a stronger “architect” model that plans changes with a cheaper “editor” model that applies them. That split is a small but real form of multi-agent orchestration, and it cuts cost meaningfully on long refactors where most of the work is mechanical. Aider commits each change to git as it goes, so undoing a bad run is a single git reset rather than a forensic review.
Where it falls short: No parallel agents in the fan-out sense, no GUI, no editor integration. You drive it from a shell, in one repo, on one task at a time. That is the point, but it is worth knowing before you install it.
Pricing:
- Free: open-source, no licence fee (BYO API key)
- Paid: none
Platforms: Windows, macOS, Linux
Download: aider.chat
Bottom line: Pick Aider if you want a terminal-first workflow, you like the architect/editor split, and you do not need parallel agents across many tasks.
6. OpenHands — best self-hostable platform for long-running autonomous runs
OpenHands (formerly OpenDevin) is the heaviest entry on the list and the one that most resembles a server rather than a developer tool. It runs as a containerised platform, executes agents in isolated sandboxes, and ranks at the top of the open-source leaderboard for end-to-end GitHub issue resolution. The 2026 release added parallel agent execution with a Kanban-style task board, headless mode for CI, and Slack and Linear hooks so an issue assignment can spawn an agent without human input.
Where it falls short: It is a platform, not an editor. Getting from docker run to a useful workflow takes more setup than the IDE-based options. The autonomous mode is best supervised; left alone on a complex repo it still produces work that needs human review before merging.
Pricing:
- Free: open-source, no licence fee (self-hosted)
- Paid: All Hands AI Cloud for managed hosting
Platforms: Docker on Windows, macOS, Linux
Download: all-hands.dev
Bottom line: Pick OpenHands if you want an open-source agent platform you can host yourself, run headlessly, and wire into your team’s existing ticketing.
7. Kilo Code — best all-in-one VS Code extension folding Cline and Roo Code modes
Kilo Code is the consolidation pick. It started as a fork that pulled the strongest pieces from Cline and Roo Code (which was archived in May 2026) and turned them into a single VS Code extension. The Architect, Code, and Debug modes give you a lightweight multi-agent workflow without leaving the editor: plan in one mode, execute in another, diagnose in a third. Support for 500+ models via OpenRouter and similar gateways keeps you out of any single vendor’s pricing lane, and the project is funded enough to keep shipping.
Where it falls short: As a younger project than Cline, it has fewer hardened production users and the docs lag the feature set. The mode-switching workflow is closer to “structured prompting” than true parallel fan-out.
Pricing:
- Free: open-source, no licence fee (BYO API key)
- Paid: optional Kilo-hosted credits for one-click model access
Platforms: Windows, macOS, Linux (VS Code)
Download: kilocode.ai
Bottom line: Pick Kilo Code if you liked Roo Code’s mode system, want a single extension that folds in Cline’s better ideas, and prefer to stay inside VS Code.
How to pick the right one
If you want the cleanest subagent primitive and you can stomach the token bill, install Claude Code.
If you want parallel agents inside an editor with cloud handoff, install Cursor.
If you want an open-source VS Code agent your team can run together, install Cline.
If you want explicit per-role model routing in your existing IDE, install Continue.dev.
If you live in the terminal and like the architect/editor split, install Aider.
If you want a self-hosted platform that can run agents headlessly from a ticket queue, run OpenHands.
If you want one VS Code extension that bundles the best of the Cline and Roo Code family, install Kilo Code.
FAQ
What does multi-agent AI coding actually mean?
Two or more language-model agents working on the same project at the same time, usually with different roles or different files. The simplest version is an architect model that plans and an editor model that applies. The most ambitious is a lead agent that fans out to dozens of child agents in parallel and then synthesises their work.
Will running parallel agents burn through my usage faster?
Yes, sharply. Four agents on one prompt is roughly four times the token cost of a single run, and the synthesis step on top adds more. The XDA developer who blew through a Claude Code weekly window in under an hour was running five agents at once. Budget caps and per-agent model selection are the two best defences.
Do I need a beefy machine to run these tools?
Not really, unless you also plan to run local models. The agents themselves call out to remote APIs, so the heavy lifting happens on the provider’s GPUs. A modern laptop with 16 GB of RAM is plenty for any of these tools when paired with a hosted model.
Can I mix models across agents in the same workflow?
Yes, and the strongest setups do exactly that. Continue.dev and Cline make per-role model selection a first-class config. Claude Code lets you set a model per subagent in the markdown file. Aider’s architect/editor split assumes you will pair a strong planner with a cheap executor. Mixing models is usually how you keep cost sane on large refactors.
