You've probably been there: three or four terminal windows open, one running Claude Code, another running Codex, a third running Cursor CLI — and somewhere in the middle of it all you lose track of which window did what. Orca is the open-source project built to fix exactly that problem. This piece walks through why an unusually named tool crossed 18,000 GitHub stars within months, what it actually does differently, and how to get it installed and running.
📚 A Quick Glossary
ADE — Agent Development Environment. CLI agent — an AI coding assistant that runs from the command line (Claude Code, Codex, and similar tools). Worktree — a Git feature that checks out multiple branches of one repository into separate folders at the same time. Diff — a side-by-side view of code changes. BYO subscription — Bring Your Own Subscription, meaning you use the agent subscription you already pay for.
1. What Is Orca: From IDE to ADE
Orca is an open-source project built by a team called Stably (Stably, Inc.), and it deliberately avoids calling itself an IDE (Integrated Development Environment). Instead it calls itself an ADE — Agent Development Environment. That might sound like marketing spin at first, but after spending a few days with it, the distinction starts to feel earned. An IDE is built to help one person write code. Orca is built to help one person direct several AI agents at once. (The site's footer copyright line lists the legal entity as Lovecast Inc., while Stably is the name used throughout the docs and marketing site.)
The project's co-founder, Jinjing Liang, previously worked as a senior engineer on Google Chrome and is a two-time founder and Cornell alum. Orca is backed by Y Combinator and its entire codebase is public on GitHub (github.com/stablyai/orca) under the MIT license. Since it first launched around March 2026, the team has kept up a pace fast enough that "we ship daily" became something of a tagline, and at one point the repo picked up close to 2,000 new stars in a single week. It has since crossed 18,000 stars and continues to climb.
The reasoning behind the ADE label is straightforward. Developers increasingly aren't running just one coding agent — they're running several at once. It's become common to hand the same bug to three different agents and pick whichever fix is cleanest, or to split a task so one agent handles the design, another the implementation, and a third the tests. The problem was that doing this by hand meant juggling multiple tmux panes, manually running git worktree commands, and keeping track of a pile of browser tabs. Orca folds that manual orchestration into a single app.
"IDEs were built for you. An ADE is built for you and your agents." That's the core idea behind Orca's own framing — the thing being assisted has expanded from a single person to a person plus a small team of agents. – Adapted from Orca's official site messaging
Orca's stated growth in supported agents is genuinely long: Claude Code, Codex, Cursor CLI, Grok, Gemini, GitHub Copilot, OpenCode, Amp, Antigravity, Devin, Goose, Cline, Continue, Droid, Kiro, Qwen Code, and more — over 30 agents under the rule "if it runs in a terminal, it runs in Orca." That's a clear statement of intent: Orca isn't trying to lock anyone into a single vendor's agent.
The project's growth trajectory is worth noting too. Its early pitch was a fairly modest "terminal-based agent orchestrator," but by the time it reached Y Combinator's company page, the framing had grown considerably bolder: "an ADE built for engineers who run 10 to 100 coding agents at once." Star growth has occasionally spiked by roughly 2,000 in a single week, and the count has climbed past 18,000 since. The same team also runs an AI-powered testing platform of the same name, Stably, so this isn't their first outing in developer tooling.
2. What Is a Git Worktree, Anyway?
The word that trips people up most when they first look at Orca is "worktree." The short version: git worktree is a long-standing native Git feature that lets you check out multiple branches of the same repository into separate folders at the same time. You don't need to clone the repo repeatedly, and you don't need to stash and switch branches every time you change context.
Say you're mid-way through work on main and suddenly need to fix a bug on another branch. Normally you'd stash your changes, switch branches, fix the bug, then switch back and unstash. With a worktree, a feature-a folder and a hotfix-b folder exist side by side, each showing a different branch, with no stashing required. Orca automates the creation of one worktree per agent and lets you assign an agent to each worktree with a few clicks — effectively doing what you'd otherwise do by typing git worktree add repeatedly and opening a fresh terminal for each folder.
To make it concrete: say you prompt three agents to fix a login race-condition bug. Create the first worktree named fix-login-race and assign Claude Code to it. Repeat the same prompt twice more and Orca automatically appends numbers — fix-login-race-2 (Codex), fix-login-race-3 (Cursor CLI). None of the three agents know the others exist, so there's no risk of them stepping on each other's changes. Once they finish, you just pull up all three diffs side by side and pick whichever one looks best. Worth knowing: if you leave the worktree name blank when creating one, Orca names it after a marine creature instead — a small bit of on-brand whimsy. 🐬
Two reference points are worth knowing when creating a worktree. Each repo has a base ref (usually origin/main), and each new worktree has a start-from ref — what it branches off, which can be the base ref, another local branch, a specific commit, or a remote branch. That's handy for stacking new work on top of a PR that's already in review. Worktree creation itself runs in the background, too: submitting the dialog closes it immediately, so you can switch to other work right away and just watch the progress row in the sidebar.
3. Why Multi-Agent Tools Are Having a Moment
To understand why this category exists now, it helps to look at how much coding agents have changed in the last year or two. Early coding assistants were mostly line-by-line or function-by-function autocomplete. Today's agents — Claude Code, Codex, and others — can take an entire issue, work across multiple files, and run autonomously for minutes at a stretch. The longer and more autonomously an agent works, the more its output varies run to run, which makes "run it once and trust the result" a less reliable strategy than "run it several times, or with several agents, and compare."
Different agents also have reputations for different strengths — some are considered stronger at refactoring, others at writing tests, others at frontend polish — and that's pushed developers toward splitting work across agents deliberately. Most AI code editors, though, are still built around the assumption of one editor plus one agent. Orca is one of the few tools that broke from that assumption and made "several agents by default" the core design, and it's since been followed by comparable tools (AgentsRoom, for instance), suggesting ADE is becoming a recognized category rather than a one-off idea.
People in the space have started calling this style of work "10x developer" territory — running three, five, or more agents in parallel stopped being unusual sometime in 2026. Developers who'd been hand-rolling this workflow with tmux panes and worktree commands were, by most accounts, exactly the audience Orca was built to win over.
4. 10 Core Features of Orca
In one sentence, Orca is "an app that runs several agents side by side on top of git worktrees, and lets you keep an eye on them from your phone." In practice there's a lot packed into that sentence. Here are the highlights.
One prompt → N isolated worktrees → compare side by side, then merge (Parallel Worktrees)
Parallel Worktrees
Orca's core feature. Type one prompt and it creates N isolated git worktrees, assigns a different agent to each (say, Claude Code + Codex + Cursor), and runs them simultaneously. When they're done, you compare the resulting diffs side by side and cherry-pick the parts you like into a single merge worktree. Because each worktree has its own file system, there's no risk of one agent overwriting another's work.
Mobile Companion App
Pair the iOS or Android thin-client app using a one-time pairing code (or deep link) generated on desktop, and you can watch live agent status, terminal scrollback, and file trees while your code stays entirely on the desktop. There's no cloud relay — desktop and phone connect directly, so closing the desktop app drops the connection and reopening it reconnects automatically. You can also stage and commit changes from the mobile Source Control view.
Attribution — AI vs Human Lines
Every time an agent touches a file, Orca records the range and marks it in the diff gutter, so you can tell at a glance which lines an AI wrote and which a human touched. It makes review faster — you're not re-reading code you wrote by hand — and gives security or compliance reviews a way to separate AI-written from human-written code. The record lives only inside Orca and isn't committed to git, though you can export it as metadata from the diff toolbar.
Design Mode
Turn the toggle on and your cursor becomes a picker. Click any element inside the built-in browser and Orca captures its HTML, computed CSS (colors, fonts, spacing), a cropped screenshot, and the source file/line if a dev-mode source map is available — all bundled into one attachment dropped straight into the active agent's terminal. Instead of writing a paragraph describing where a button's padding looks off, one click hands the agent the exact context.
Computer Use (beta)
The orca computer CLI lets an agent operate real desktop apps once you grant Accessibility (and, on macOS, Screen Recording) permission. It works in a snapshot → act → snapshot loop — read the app's state, click or type on a specific element, then re-read state to confirm the result. Because it requires an explicit OS-level permission grant, it isn't something that can quietly start controlling your screen.
SSH Worktrees
Register an SSH target (host, user, port, key) in settings, and you can pick that remote machine instead of Local when creating a worktree. Your laptop's Orca runtime stays in charge; the remote machine is purely an execution target. A disconnect doesn't kill a running agent — Orca reconnects and re-attaches automatically. Jump hosts, SSH multiplexing, and one-click port forwarding are all supported too.
Remote Orca Servers (beta)
The opposite direction from SSH worktrees. Running orca serve on a remote machine puts the entire Orca runtime there — that server now owns the repos, worktrees, terminals, and agent sessions — while your laptop, phone, or browser client connects in to view and control it. Built for scenarios like a home server or GPU box running around the clock, shared by one or more clients.
Agent Hibernation (experimental)
Keep dozens of worktrees open and idle finished agents quietly eat memory. Turn this on and Orca will pause a background agent terminal that's been untouched for a while (30 minutes by default) and automatically resume the exact same session the next time you open that worktree. It only works for agents with resumable sessions — Claude, Codex, Gemini, and a few others — and ships off by default.
Account Switching & Usage Tracking
See Claude and Codex usage and rate-limit resets at a glance, and hot-swap between accounts without logging back in. Genuinely useful if you rotate between multiple subscriptions — hit a rate limit on one account and switch to another mid-task.
PR Review & Source Control Hub
Use Annotate AI Diff to drop comments on any diff line and ship them straight back to the agent, check CI status, resolve conflicts, and open PRs without leaving the app. A unified Source Control hub covers staging, commits, pulls, pushes, and branch syncing in one place, and you can link GitHub, Linear, or Jira issues straight to a worktree.
⚠️ Worth Knowing: Permission Prompts Are Off by Default
When Orca launches a new agent, it automatically fills in that CLI's permission-bypass flag by default — --dangerously-skip-permissions for Claude, --dangerously-bypass-approvals-and-sandbox for Codex, and similar flags for others. The logic: a worktree is disposable, so there's no need to confirm every single command. The flip side is that, without changing anything, an agent can edit or delete files and run shell commands without asking first. If you'd rather keep confirmation prompts, go to Settings → Agents → Agent Permissions and switch everything to "Manual" mode, or edit an individual agent's launch arguments to restore prompts for just that one.
| Category | Example agents |
|---|---|
| Deep integration (usage & account hot-swap) | Claude Code, Codex, Cursor CLI |
| Big-platform agents | GitHub Copilot, Gemini, Grok |
| Open-source / community | OpenCode, Goose, Cline, Continue, Aider |
| Other auto-setup agents | Devin, Amp, Antigravity, Droid, Kiro, Qwen Code, Kilocode, Auggie, Command Code, MiniMax, and more — 30+ total |
This is only a representative sample — the docs note that any CLI that runs in a terminal can be registered as a custom agent. There are also dedicated guides for specific models and workflows, like GLM-5.2 integration and Claude Agent Teams (orca claude-teams, off by default), so the supported list tends to grow quickly whenever something new launches.
Beyond the ten above, there are a handful of smaller touches that add up in daily use. Quick Open (Cmd-J) searches across worktrees, files, agents, commands, and repo context, and gets more useful the more worktrees pile up. Notifications and unread state let you know when an agent finishes or needs input, and bold a thread you haven't checked yet. The terminal UI draws inspiration from Ghostty, and the ability to drag a tab to a pane edge and split indefinitely into whatever layout suits the task is one of the details reviewers mention most.
The Orca CLI exposes the same functionality from any shell, so you can script entire workflows or let an agent drive Orca itself. Creating a worktree tied to an issue and checking its status looks roughly like this:
Most people never need to script anything and just click through the GUI. But the fact that this scripting layer exists at all is a sign Orca is aiming for more than a nice-looking terminal viewer.
Key Takeaway
Orca doesn't sell its own agent — it's an orchestration layer that lets you run the agents you're already paying for, like Claude Code or Codex, "in parallel, in isolation, and from your phone if you want." The app itself is free and open source, with no added license fees or markup. Turning Orca on doesn't add a new bill; it just makes the tools you already use easier to wrangle.
5. How to Install: macOS, Windows, Linux
Installation is generally painless. Here's the breakdown by platform. Orca is an Electron-based desktop app, so there's no separate Node.js runtime to install first. The installer itself sits around 200MB, and memory use climbs as you run more agents at once, so 8GB of RAM or more is a reasonable baseline.
🍎 macOS
If you have Homebrew, one line gets you the GUI app via cask, and it auto-bumps whenever a new stable build ships.
No Homebrew? You can grab the Apple Silicon or Intel .dmg directly from onorca.dev or the GitHub releases page. The build is signed and notarized, so it runs cleanly — the one confirmation dialog macOS shows on first launch is just normal Electron-app behavior, not a warning about anything being wrong.
🪟 Windows
Download the .exe installer from the GitHub releases page or the official site and run it. You can pick PowerShell or CMD as the default shell under Settings → Terminal — PowerShell works fine for most people.
🐧 Linux
Distributed as an AppImage or .deb, with an AUR package for Arch Linux users.
Want to run it on a headless Linux server with no monitor attached? Grab the AppImage, make it executable (chmod +x orca-linux.AppImage), and start it in server mode with orca serve --pairing-address <your server's IP or Tailscale hostname>. A server started this way can be reached by the desktop app, a browser client, and the mobile app (add --mobile-pairing) all at once, sharing the same runtime. Community write-ups about keeping an always-on home server dispatching agents around the clock come up often enough that it's clearly a popular pairing. Since the pairing URL is effectively full access to that runtime, routing it over a private network — Tailscale, WireGuard, or SSH forwarding — is safer than exposing it on a public IP directly.
📱 Mobile Companion App (beta)
On iOS, search the App Store for "Orca IDE," or use the TestFlight preview channel. On Android, grab the APK from the GitHub releases page. To pair, open the account/status menu on desktop to get a one-time pairing code, then paste it into the mobile app's "Pair" screen, or just follow the deep link the desktop app shows you.
💳 What Does It Cost After Installing?
There's no payment screen inside Orca itself. Once it's installed, you register your Anthropic, OpenAI, Google, or xAI API key or subscription for whichever agent you want to run, right in the app's settings. Orca doesn't add a markup on top of usage — you pay exactly what each provider charges. In short, it's a "bring your own subscription" model.
🚀 Getting Started After Install
The docs call this the single most important page in the whole manual, and once you understand the first-session flow you basically understand Orca. On first launch, the app asks for home-directory access, offers to import your ~/.claude, ~/.codex, and Ghostty terminal settings if it finds them, then drops you on an empty screen prompting you to add a repo. From there, here's the order that gets you a full 3-agent session in about five minutes.
- Add a repo: click "Add Repo" in the sidebar and point it at a local checkout. Orca automatically detects that repo's default branch as its base ref.
- Create a worktree: click the + next to the repo name and type a task name (something like "fix-login-race" — leave it blank and Orca names it after a marine creature instead). The one-click launcher lets you pick a default agent or start with a blank terminal, and lets you choose which ref to branch from (the start-from ref).
- Pick an agent: in the new worktree's terminal, use the agent combobox to choose Claude Code, Codex, Cursor CLI, or whatever you want — Orca hands that CLI the correct working directory and subscription info automatically.
- Repeat twice more for a race: do steps 2–3 two more times with the same prompt, and you'll end up with
fix-login-race,fix-login-race-2, andfix-login-race-3running Claude Code, Codex, and Cursor CLI respectively. Paste the same prompt into all three and watch. - Split the screen to watch all three: drag a worktree tab to the edge of the pane to split the view so you can see all three agents at once.
- Pick a winner, review, and merge: once the agents stop, open each worktree's diff, leave inline comments with Annotate AI Diff, and commit and push directly from whichever worktree you like best. Delete the other two with one click each — their branches get cleaned up along with them.
🛠️ Common Install & Setup Issues
A few common issues straight from the official troubleshooting docs. An agent won't start: try running that CLI directly in a plain terminal — if it fails there too, it's an auth or install problem with the CLI itself, not Orca. The diff view looks wrong or stuck: click the refresh icon in the diff toolbar to re-read the worktree. Worktree creation fails: run git fetch origin in the repo to refresh the base branch first. The Orca CLI says "command not found": register it under Settings → Experimental → CLI, and on macOS make sure ~/.local/bin is on your shell's PATH. If memory feels tight, closing unused worktrees (which stops their file watchers) and trimming split layouts with a lot of open browser tabs tends to help the most. If none of that fixes it, Help → Open Logs gets you the log file to attach to a GitHub issue or a Discord post.
Updates default to the stable channel and install automatically. If you want early access to new features, hold Shift while clicking "Check for Updates" — that one click also checks RC (release candidate) builds. Given how fast this project moves, it's not unusual to find an update waiting after just a few days away from the app. If an update ever causes trouble, you can grab a previous version from the GitHub releases page — worktree data doesn't get forced into a downgrade.
6. Orca vs Cursor vs Windsurf: What's Different
"Can't I just use Cursor?" is a fair question, and the honest answer is that the two tools are aimed at different things. Cursor and Windsurf are closed-source, VS Code-forked editors built around a single agent. Orca is an open-source orchestration layer for running multiple agents you already have access to, side by side. Here's a table breaking it down.
| Category | Orca | Cursor / Windsurf | VS Code + Copilot |
|---|---|---|---|
| License / cost | MIT open source, free app | Closed source, monthly subscription | Free editor + Copilot subscription |
| Supported agents | 30+ CLI agents, freely mixed | Built around its own agent | Built around Copilot's agent |
| Parallelism | Worktree-based parallel runs by design | Built around one session at a time | Extension-dependent at best |
| Mobile app | Official iOS + Android companion | No official mobile app | No official mobile app |
| Remote / headless | SSH worktrees + Remote Orca Servers, both supported | Requires a separate remote extension | Possible via Remote-SSH extension |
| Source availability | Fully open, self-hostable (18k+ stars) | Closed source | Editor open, Copilot closed |
In short: if you're already happy with a single agent inside Cursor or Windsurf and never need to run several at once, there's no urgent reason to switch. If you're already juggling Claude Code and Codex and are tired of window management, or you'd rather not stack a new subscription on top of the ones you already pay for, Orca is the better fit.
OpenAI's Codex Desktop app comes up in comparisons often too. It's a dedicated app built specifically around the Codex agent, and it's polished within that lane — but it isn't designed to run Claude Code or other agents alongside it in the same view. One reviewer noted that Codex Desktop's comfort actually makes it harder to break the habit and treat other agents the same way. The choice ultimately comes down to whether you want a dedicated app tuned for one agent, or a neutral layer for orchestrating several.
The cost structure sharpens the distinction further. Cursor and Windsurf bundle AI usage into their own plans, typically consumed against a company-set limit. Orca has no plan of its own — it simply channels the Claude Code or Codex subscription you already pay for "across more windows." Using Orca doesn't create a new bill, but it also doesn't expand your usage limit; run three agents in parallel and you'll burn through roughly three times the API usage.
7. Is It Secure and Private?
Since this is a tool that hands your entire repository over to multiple agents, security concerns are reasonable, and Orca's stated principles here are fairly clear-cut. According to the official privacy docs, telemetry is fully anonymous — events are tied only to a random local ID stored on your device, and no account, email, IP address, or username is ever collected. More importantly, content is never sent: file contents, prompts, agent responses, terminal output, repo names, branch names, file paths, and commit messages never leave your machine. What actually gets transmitted is limited to fixed enum values, version strings, and the anonymous local ID — no free-text field from any UI ever leaves the device.
What is collected is narrower than it might sound: whether the app is running (to estimate active users), how a repo or workspace was added (folder picker vs. clone URL, not the name or path), what kind of agent was run (picked from a fixed list, not the prompt or output), a coarse category for agent errors, and whether a handful of allow-listed settings are toggled on or off. Detailed error logs stay in a local diagnostic file on your machine and are never sent to Orca unless you choose to share them yourself. Telemetry can be switched off entirely in Settings → Privacy, or via the DO_NOT_TRACK=1 or ORCA_TELEMETRY_DISABLED=1 environment variables. Whatever telemetry is collected is stored on PostHog Cloud in a US region, with access limited to a small number of Orca maintainers.
One thing worth flagging is the Computer Use feature covered earlier. Turning it on lets an agent click buttons and enter values through the accessibility API like a person would, so it's worth disabling near sensitive logged-in sessions or payment screens — or at least watching the results as they happen. Requiring an explicit Accessibility/Screen Recording permission grant on macOS before it can do anything suggests the team is aware of the risk here.
If you're evaluating this for a team, the Enterprise page is worth a look too. Orca describes itself as local-first: repos, worktrees, terminals, and agent sessions all run on machines you control, and for local workspaces there's no need to store source code or chat history on Orca's own servers. It's open source and self-hostable, is run with SOC2 compliance in mind, and every agent change stays reviewable through ordinary git history and PRs. The Enterprise page lists logos for companies described as "builders using Orca," including Linear, Vercel, Stripe, Airbnb, Coinbase, OpenAI, and GitHub — a sign that adoption is moving well beyond solo side projects into organizational use.
8. What Real Users Are Saying
Community sentiment leans heavily toward "this cut down the fatigue of managing a pile of terminals." The tool spread quickly by word of mouth among people already running Claude Code or Codex daily, and screenshots and write-ups have popped up across X and developer blogs. A few voices, summarized below.
One X user described splitting work across three agents — Grok as the "brain," Claude as the designer, Codex as the implementer — running them all at once inside Orca, and said setup was easier than expected.
— Paraphrased X postA user who said they'd tried nearly every parallel ADE on the market ranked Orca highest, citing its native TUI, file viewer, custom commands, mobile support, usage tracking, and GitHub-to-agent task tracking.
— Paraphrased X postA developer reviewing Orca on the blog andrew.ooo wrote that anyone already hand-rolling this workflow with multiple tmux panes and worktree commands is exactly who Orca is for — while noting that people happy with a single agent have no pressing reason to switch.
— dev.to (andrew.ooo) review, summarizedA Japanese-language developer blog on note.com recommended a one-line Homebrew install on Mac, highlighting that over 25 CLI agents can run side by side per worktree with diffs, PRs, and notifications visible in a single view.
— note.com review, summarizedCriticism exists too. A competing product, AgentsRoom, has pointed to Orca's reliance on git worktrees as a downside, positioning its own worktree-free, single-branch approach to per-agent diffs as an alternative. That's also a reasonable signal that the worktree model can feel like a learning curve for developers who aren't used to it yet. On balance, sentiment tends to cluster around "satisfaction rises the more agents you actually run in parallel," with the worktree concept being the one recurring friction point for people coming from a single-agent habit.
9. Four Real-World Use Cases
Reading about features in the abstract only goes so far, so here's how people actually seem to structure their day around Orca, reconstructed from community write-ups and the official materials.
The solo side-project developer
Working on a side project after hours, they hand an ambiguous bug to both Claude Code and Codex, go make dinner, and come back to pick whichever diff looks cleaner — then delete the other worktree without a second thought.
The team lead reviewing multiple agents' output
Reviewing PRs from teammates who used different agents, they drop line comments in the Source Control hub and ship them straight back to the agent, running the entire revision cycle without leaving the app.
The early adopter with an always-on home server
They keep a Mac mini or Linux box running orca serve around the clock, and check overnight progress on the mobile app during the morning commute before sending a short follow-up instruction.
The designer-developer doing constant frontend tweaks
Using Design Mode, they click directly on a button or a spacing issue in the browser and hand the screenshot and CSS straight to an agent, skipping the awkward job of describing a visual detail in words.
10. Pros and Cons, Honestly
Pulling everything together, here's a balanced take on what worked and what didn't — grounded in a few days of actually running the app rather than just its marketing copy.
👍 Strengths
- MIT open source, completely free app with no markup on top of your subscriptions
- 30+ supported CLI agents with no vendor lock-in, so you can mix and match freely
- Worktree-based parallel execution genuinely saves time by letting you try several approaches at once
- Mobile app lets you check progress and send follow-ups while away from your desk
- Ships new features at a near-daily pace, and community feedback gets folded in quickly
- Attribution separates AI-written from human-written lines, which makes review noticeably faster
- Open source and self-hostable, so you can inspect the code or run it on your own infrastructure
👎 Weaknesses
- Permission prompts are bypassed by default, which is risky if you don't understand worktree isolation before turning agents loose
- Electron-based, so it's on the heavier side — Agent Hibernation (experimental, off by default) helps but doesn't fully solve this
- The daily-ship pace means occasional rough edges (usually fixed quickly, but a concern where stability matters most)
- The git worktree concept itself is a learning curve for developers new to it
- Teams should pin a version and check release notes before updating
- Agent subscriptions are still separate, and running agents in parallel multiplies API usage accordingly
- The mobile app, Remote Orca Servers, and Computer Use are all still labeled beta and subject to change
Where It's Headed
The team hasn't been shy about its "we ship fast" approach, and feature requests raised as GitHub issues tend to get folded in directly. Recent updates have shipped Attribution, Agent Hibernation, Remote Orca Servers, and Computer Use in fairly quick succession as beta features, alongside experimental support for provider-specific workflows like Claude Agent Teams. As an open-source project there's no fixed roadmap carved in stone, but going by the pace so far, more substantial features seem likely to keep arriving.
11. Who Should Use It + FAQ
Orca's own positioning is that it's built for developers who already write code professionally, understand git worktrees, diffs, and commits, and want to use AI as leverage rather than a replacement. More specifically, it tends to suit:
- Developers who want to compare multiple agents directly: handing the same bug to Claude Code and Codex simultaneously and picking whichever diff is cleaner, discarding the rest.
- Team leads reviewing AI-generated diffs closely: who need to drop comments and ship them straight back to the agent, with CI and PR status visible in one place.
- Anyone already paying for Claude Code or Codex: who wants to orchestrate that existing subscription without adding a new license fee, and needs to manage rate limits across multiple accounts.
- Anyone running an always-on home or office server: the Remote Orca Servers and mobile app combination is built for exactly this, keeping work moving while you're away.
Orca itself focuses on orchestrating coding agents, but the community often pairs it with other open-source tools — one that gives agents live internet access, and another that adds a voice interface for talking to agents and hearing results read back. Orca handles orchestration; the other tools handle their own specialty — a loosely assembled, Lego-block-style ecosystem is starting to take shape.
On the flip side, there's no urgent reason to jump in right now if you're new to git and worktrees still feel unfamiliar, if a single agent already covers your workload, or if your company's policies make installing new desktop apps a hassle. In those cases, sticking with your current setup and revisiting Orca once you actually need to run multiple agents in parallel is a perfectly reasonable call.
Frequently Asked Questions
Q. Is Orca completely free?
The app itself is free and open source under the MIT license. You'll still need to pay each provider separately for whichever agents you run through it, like Claude Code or Codex.
Q. I already use Cursor. Do I need to switch?
Not urgently, if a single agent already covers what you need. Orca's advantage becomes clear once you want to run and compare multiple agents at the same time.
Q. Can a coding beginner use this?
It's designed around concepts familiar to working developers — git worktrees, diffs, commits — so it does present a learning curve for someone just starting out with code.
Q. Can I write code entirely from the mobile app?
No. The mobile app is a thin client for checking status, receiving notifications, and sending short instructions — the desktop app needs to stay running for everything to work. It's not meant for writing code directly on your phone.
Q. How many agents can I run at once?
Orca itself imposes no artificial limit. The real ceiling comes from your machine's CPU and memory, plus each provider's API rate limits. On a typical laptop, most people report 3–5 as the practical sweet spot.
Q. Can I mix agents from different companies?
Yes. You can assign agents from different providers — Claude Code, Codex, OpenCode — to the same task at once; each runs in its own isolated worktree using its own provider's API key.
Q. Is it stable enough for a team to adopt?
Given the near-daily release pace, the latest build can occasionally include small bugs. For team use, it's worth pinning a specific version and checking release notes before updating.
Q. My company's security policy won't allow code to leave our machines. Is that a problem?
Orca is local-first — repos, worktrees, and agent sessions run on machines you control, and local workspaces don't require storing source code or chat history on Orca's servers. Because it's open source, self-hosting is also an option, so teams with strict security requirements can work out a deployment model directly through the Enterprise contact page.
12. Wrapping Up
A few years ago, "AI writes code for you" was still a novelty. Now running several of those AIs at once is starting to feel routine. Orca reads that shift accurately, and because it doesn't sell an agent of its own — it just helps you get more out of the subscriptions you already have — the barrier to trying it is genuinely low. The worktree concept can take a day or two to click if it's new to you, and being Electron-based means your laptop fan might spin up a bit more often. But weighed against the fatigue of counting terminal tabs and asking "wait, was that Claude or Codex," it's a trade worth making. While putting this piece together, I actually spent a few days running Orca myself, and once the worktree concept clicked, going back to the old way of doing things started to feel like the more annoying option. If you're tired of shuffling windows between agents, a one-line Homebrew install this weekend and a couple of test worktrees is a low-risk way to find out if it clicks for you too. 🐳