Orca

Name: Orca
Brand: Orca
Availability: InStock

Orca is an open-source Agent Development Environment (ADE) that lets developers run multiple AI coding agents in isolated Git Worktrees, with unified supervision, comparison, and result merging.

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https://orca.stably.ai/

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Orca is an open source Agent Development Environment (ADE) developed by the Stably team and is specially designed for "multi-agent parallel coding" scenarios. It is not another AI coding assistant, but an orchestration layer running on the desktop - allowing more than 30 CLI Agents such as Claude Code, Codex, Grok, Cursor, etc. to execute in parallel in an independent Git Worktree, and developers can uniformly supervise, compare, review and merge the results. The project adopts the MIT license and supports macOS, Windows, Linux and iOS/Android mobile companions. It has received more than 20,000 GitHub stars since it was open sourced in early 2026, and updates are released daily.
Orca is developed by the Stably team, a GitHub organization called stablyai. Stably’s previous main product was an AI software testing platform, and Orca is its new direction for the “multi-agent future.” The project is hosted in the stablyai/orca repository on GitHub and adopts the MIT open source license. It will become fully open source after the license is added on March 28, 2026. The current version has been iterated to v1.4.143 or above. The warehouse has 20,000+ Stars and 1,500+ Forks, maintaining a daily release rhythm. The Stably team is small but active in the developer community and responsive on Discord and GitHub Issues. The core judgment of the team is that developers no longer use only one AI Agent, but run multiple Agents at the same time. The existing IDE and terminal management methods cannot effectively support this new model. Orca was born to solve this "orchestration problem".
Orca's core innovation lies in its "Worktree native" architecture. In traditional IDEs, a project corresponds to a working directory, and different branches need to be switched back and forth. Orca automatically creates an independent Git Worktree for each task or Agent, which is isolated from each other and does not interfere with each other. Parallel Worktree is the biggest differentiating feature. Developers can send the same task to 5 different Agents (for example, Claude Code and Codex each run a version). Each Agent runs in an independent Worktree. After completion, the Diffs are compared side by side and the best results are selected and merged. This solves the long-standing problem of "different Agents modifying the same code and overwriting each other". Multi-Agent support is extremely broad. Orca is compatible with any CLI Agent - as long as it can be run in the terminal, you can connect to Orca. There are more than 30 officially listed, including Claude Code, OpenAI Codex, Grok, Cursor, GitHub Copilot, OpenCode, Cline, Continue, Amp, etc. Each Agent uses its own subscription account, and Orca only provides the orchestration layer at no additional charge. The built-in terminal and editor use a WebGL-rendered terminal (similar to Ghostty), which supports infinite split-screen and scroll cache that persists after restart. The editor is based on the core of VS Code and supports file drag and drop, automatic saving and multi-tab pages. Design Mode allows Agent to "see" the page through the built-in Chromium browser - click on any UI element to send its HTML, CSS and screenshots to Agent Prompt, suitable for front-end automation. GitHub's native integration with Linear allows developers to browse PR, Issue, and project panels within Orca, create Worktrees directly from tasks, review AI Diffs through the comment area, and push back modifications. This "without leaving the IDE" workflow is of great value to team collaboration. SSH Worktree supports running Agent on remote high-configuration machines, automatic reconnection and port forwarding. Mobile Companion App (iOS/Android) can monitor Agent status, receive completion notifications, and send follow-up instructions at any time.Orca CLI allows you to control the entire IDE with scripts: create Worktrees, take screenshots, fill out forms - the Agent in turn drives Orca.
Orca itself is completely free and licensed under the MIT open source license. Users download it from GitHub or install it through Homebrew (brew install --cask stablyai/orca/orca). This means that Orca itself has no direct income and relies on the distribution and ecological binding of upstream Agents. The cost of the upstream Agent is borne by the user. Claude Code uses Anthropic API, Codex uses OpenAI API, Cursor CLI uses Cursor subscription - Orca does not charge for the middle layer. Usage and rate limit reset times for each provider can be tracked in the account switcher. This “bring your own subscription” (BYOK) model lowers the barriers to use and means that Orca’s sustainability depends on the Stably team’s financing or subsequent commercialization path. Currently, the project is extremely active and has positive feedback from the community, but the business model has not been clear yet.
Positive feedback focused on parallel Worktree and mobile monitoring. Many users said, "This is the first time I can run multiple Agents at the same time without being in a hurry." "Mobile notifications allow me to run long tasks during meetings." The Discord community is active and feature requests are responded to by the team within a day. User Review mentioned that "Orca's core value is isolation - different Agents change their own branches, and you no longer have to worry about code covering each other." Negative feedback mainly comes from the stability and documentation aspects. Some users reported that the production environment was not stable enough and version 0.x occasionally crashed. The description of the configuration process in the README is not detailed enough, and the threshold for newbies to get started is high. Android version updates lag behind iOS by about one version cycle. The cross-Agent pipeline (such as "Claude Code planning, Codex writing test, Aider implementation") is still the most popular feature request, but it has not yet been implemented. Some users also pointed out that running multiple Agents in parallel will lead to a linear increase in API consumption - 3 Claude Codes in parallel are 3 times the token overhead. It is recommended to use cheap models (Haiku, GPT Instant) for exploratory tasks and strong models for merge review.
Industry media generally gave Orca positive reviews, believing that it captured the precise "pain points of orchestration in the multi-agent era." AI Insider's comment states: "Orca's differentiation lies in its neutrality - it is not selling one Agent, but the orchestration layer on top of all Agents. When Cursor and Windsurf are both binding their own model ecosystems, Orca chooses to be open." In the comparative evaluation, Orca has a clear advantage compared with Cursor, Windsurf, and VS Code + plug-ins in dimensions such as "number of parallel agents," "mobile companion," "Design Mode" and "account tracking"; it lags behind in "out-of-box usability" and "document maturity." Some comments position Orca as "a command room for senior developers, not a one-click coding tool for novices." There are also doubts in the industry: Is this an independent category or a transitional product? VS Code, JetBrains, and Cursor all have strong incentives to absorb multi-agent orchestration as built-in functions, and Anthropic's Claude Code itself already has Worktree support. Orca's neutrality is an advantage when the current Agent ecosystem is fragmented, but once mainstream IDEs have built-in similar capabilities, Orca's living space may be compressed.
The biggest controversy is category survival. Orca positions itself as an "ADE" (Agent Development Environment), but it is doubtful whether this market has enough room for independent survival. Mainstream IDE vendors have not yet made an impact, but once they do, Orca will face tremendous pressure as an independent product from a small team. Stability issues. In version 0.x, some users reported problems such as complex SSH Worktree configuration and occasional terminal crashes. Although daily releases mean faster fixes, it is still a concern for production users. Long-term sustainability of the Stably team. As an open source project with a small team, Orca currently has no direct revenue. Although the MIT license ensures that the code will not disappear, there is still uncertainty about the team's continued investment and the direction of product development. Name collisions with Stability AI (developer of Stable Diffusion) can also easily cause search confusion.
Orca is most suitable for the following people: developers who have used multiple AI coding Agents and need a unified console; teams who need to compare the performance of different Agents on the same task; remote developers who often run long-term Agent tasks and need mobile monitoring; users who recognize the "bring your own subscription" model and do not want to be locked in by a single Agent supplier. Not suitable for: Beginners who have just started using AI coding tools (documentation and configuration thresholds are high); developers who only use one Agent and are satisfied with the existing IDE; production environments with extremely high stability requirements. Alternatives: Cursor and Windsurf provide a more integrated single-agent experience; Claude Code itself already has the Worktree function; if you just need multiple terminal windows, tmux can also be used.
Orca is a product with a clear positioning - it is not another AI coding assistant, but a tool for "managing AI coding assistants". In the segmented scenario of "multi-agent parallelism", it has achieved the first place in the industry. 20,000 Stars, daily update rhythm, and active community are all proof of its strength. But its long-term fate depends largely on two factors: when mainstream IDEs will have similar capabilities built in, and whether the Stably team can build enough user stickiness and a business model before then. For developers who are already using multiple Agents, Orca is worth a try - at least it solves the real pain point of "switching back and forth between five terminals".

User Reviews

VNguyen_Max4

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SSH Worktree lets me run agents on a powerful remote machine while only viewing results locally. The experience is smooth. Auto-reconnect and port forwarding save a lot of hassle.

Joe.Ramos

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After a week of use, my biggest takeaway is not having to juggle three terminals anymore. Claude Code and Codex each manage their own worktree without interference, and I can compare diffs side-by-side and merge the best one. The workflow is really smooth.

Doris.Gutierrez_2024

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Design Mode is incredibly powerful. Just click a UI element in the built-in browser and the HTML and screenshot go straight to the agent. No more writing long prompts describing 'where that blue button is'.

兔兔_4

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The mobile app is so practical — you can check if an agent is done and send follow-up commands. When your phone buzzes during a meeting, you know it's finished. Just send a quick command remotely and keep going, no need to stay chained to your desk.

SusanLopez

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MIT open source, no middleman markups. Just bring your own Claude Code and Codex subscriptions. That's way more comfortable than Cursor's bundling approach.

Justin.Young

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The blurry Chinese font rendering is annoying. Still not fixed in v1.4.128, even after changing fonts. The difference is obvious compared to Muxy. Hope they fix it soon.

Kevin_Wright_X

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I think Orca's biggest value is isolation — different agents each work on their own branches, no more worrying about code overwrites. I've had two agents modify the same file at once before. That was painful.

JEhol

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Supporting 30+ agents is impressive. Claude Code, Codex, Gemini, Grok all work equally well. For me the most useful thing is giving the same task to different agents and comparing their implementations to pick the best one. Efficiency has really improved.

珊瑚153

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It's really good, but honestly not very beginner-friendly. The documentation is too sparse and there aren't enough configuration examples. It took me a while to figure out the worktree workflow. I hope the README can be more detailed.

0gmkyzu_x

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Running three agents in parallel for refactoring does burn through API quota three times faster. My wallet is bleeding. I suggest using cheaper models for exploration and stronger ones for the final merge. It saves a lot.

Jack.Thomas_66

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After two days I can't go back. The only downside is the Electron version's memory usage — a few worktrees easily hit 2GB. Hope they optimize it in the future.

KatieMason

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The GitHub integration is well done. Viewing PRs and Issues directly in the IDE, creating a worktree from an issue — no need to switch browser context. The experience is incredibly smooth.

trueVladanaPantić_dev

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One big pain point — cross-agent pipeline feature isn't out yet. What I really want is a chain like 'Claude Code plans, Codex implements, Aider tests'. Right now I have to do it manually.

Laura.Martinez_202262

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The Android version lags behind iOS by about a release cycle. Many new features land on iOS but are nowhere to be seen on Android. Hope the team balances this out.

ETr_am

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Honestly, it's not ready for production yet. The 0.x version occasionally crashes and stability needs work. But for exploratory development and prototyping, it's really great.

l_l1wnb4c

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I submitted a feature request and the team replied on Discord the same day. That kind of response speed is rare in open source projects. The community vibe is great too.

JosephWood

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After comparing the options, Orca really takes multi-agent parallelism to the next level. Cursor and Windsurf are good too, but they only support their own agents. I love that Orca is open to all CLI agents.

LedgerLionMendoza

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I submitted a bug three hours ago and it's already fixed in a new release. This daily release cadence is insane, but it shows the team is serious about the product.

TIkra

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Worktree is great, but disk usage adds up quickly. Each node_modules is hundreds of MB, and several worktrees together put real pressure on storage. The mobile app is also limited — can't create worktrees, only check progress and send commands.

Nancy_Perez168

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I figured I'd give it a try since it's free. After installing, I hooked up both Claude Code and Codex, had them each implement the same requirement, compared results and merged the best one. This thing really changed my coding workflow.

EvelynWatsonIII838

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I'm a bit worried about whether this category can survive. VS Code and Cursor are both moving toward multi-agent support. As a small team project, Orca could be in a tough spot once the big players build in similar functionality.

TOUUS

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The terminal rendering is genuinely beautiful. Ghostty-style WebGL terminal with smooth split-pane support and scrollback search. As someone who lives in the terminal every day, this experience is a huge plus.

1r6ya4m

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MCP support is excellent — you can define many custom tools for agents to call. It's highly customizable for power users who like to tinker, but beginners will probably be overwhelmed.

DrJoelJones_2024

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Hot-swapping Codex accounts is really sweet. No need to log out and back in — when quota runs out, just switch to another account. Super convenient for people with multiple OpenAI accounts.

Olivia_TaylorX9

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The mobile app can't run independently — it requires the desktop app to be online. When the network is bad or the laptop goes to sleep, the connection drops. There's definitely room for improvement here.

Carl.Green_77

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Remote worktree requires installing Orca's agent on the remote machine. For corporate intranets or servers with strict security reviews, it might not pass IT approval.

RebeccaHicksQ

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I think Orca is heading in the right direction — from IDE to ADE. The real change isn't about which model you use, but how you organize work. It shifts from 'I write code' to 'I orchestrate a fleet of agents writing code'.

Orca

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