Comparison from first-party sources, read Oct 22, 2026

Orca vs Skyflo

Orca is a free, open-source app that runs coding agents side by side, each in its own Git worktree. Skyflo runs the agents you already use as one mission, with one access mode, a record, and memory.

What Orca is, how its orchestration works, how it compares with T3 Code, and when Skyflo fits better.

At a glance8 dimensions, no winner score

OrcaDocumented strength

Orca runs Claude Code, Codex, OpenCode, Pi, and any other agent that runs in a terminal, each in its own Git worktree, and can fan one prompt across several agents to compare the results. It adds terminal splits, a Chromium browser with Design Mode, GitHub and Linear, SSH worktrees, diff annotations, account and usage tracking, a scriptable CLI, and an experimental orchestration layer. It is free under the MIT license, on macOS, Windows, and Linux, with iOS and Android companions.

SkyfloWhere it sits

Skyflo is the agentic operating system for your company. For engineering work, a mission holds the goal across repositories, coordinates agents with scoped specialists and review when needed, records access decisions, and carries source-linked lessons into future missions. It runs on your Mac by default.

10 first-party sourcesRead Oct 22, 2026

The decision.

Run many agents side by side, or carry one goal across them?

Choose Orca for a free, MIT-licensed workspace that runs any command-line agent in parallel worktrees, with terminals, diffs, a browser, GitHub and Linear, SSH machines, and a phone companion. Choose Skyflo when a goal should stay in one persistent mission across repositories and agents, under one access mode, with a record and source-linked memory on your Mac.

Not run by Skyflo. Skyflo does not run Orca. Both run many of the same coding agents, each on your existing sign-in.

Choose Orca when

  • You want a free, MIT-licensed app you can inspect, using the agent subscriptions you already have.
  • Fanning one prompt across several agents and keeping the best result is how you work.
  • You want Windows or Linux, SSH worktrees on a remote machine, and a phone companion for your running agents.

Choose Skyflo when

  • A change spans several repositories and should stay attached to one goal, with scoped specialists and a separate reviewer when needed.
  • You want a mission's access decisions, Skyflo tool activity, and review findings kept in a record on your Mac.
  • Later missions should find source-linked lessons from finished work, and proven workflows should become reusable Skills after review.
  • You want the same mission workspace for engineering, research, launches, and operations, using supported agents, files, browser, and terminal tools.

You might use both when

Use Orca for side-by-side agent runs and terminal-centered work, and Skyflo for work you want organized into persistent missions with context for the next one. These are separate apps; this does not imply an integration.

What is Orca?

Orca is a free, MIT-licensed desktop app for running coding agents side by side, published as stablyai/orca on GitHub. It calls itself an agent IDE: every agent gets its own Git worktree and terminal, with diffs, a browser, and a CLI in the same app. It works with any agent that runs in a terminal, including Claude Code, Codex, OpenCode, and Pi.

Its repository had about 101,000 stars on October 22, 2026, and releases ship almost daily; v1.4.237 was published on October 21.

SourcesOrca websiteOrca on GitHubOrca READMERelease v1.4.237

Orca vs T3 Code: what is the difference?

Both are free, MIT-licensed apps that run the coding agents you already pay for, with worktrees, diffs, and mobile access. Orca is terminal-centered: any command-line agent runs in its own terminal and worktree, and one prompt can fan out across several agents. T3 Code runs a set of integrated providers through its own server, and since v0.1.0 its orchestrator V2 lets one agent delegate tasks to agents on other providers from inside a thread.

Orca's own orchestration layer is experimental and has to be turned on under Settings, Experimental. Choose by how you like to work: many agents side by side in terminals, or one thread that hands work to others.

SourcesOrca READMEWorktreesOrchestrationT3 Code README (v0.1.1)T3 Code v0.1.0 release notes

How does Orca orchestration work?

Orchestration is Orca's structured multi-agent layer. It is experimental and enabled under Settings, Experimental. A Run is a namespace with a coordinator inbox; Tasks carry a spec, dependencies, and a status; a Dispatch is one attempt of a task in a terminal; and decision gates block a task until the coordinator answers.

Workers start with orca orchestration worker-start, in the current worktree or a new one, with a chosen agent such as Codex, Claude, or Antigravity, and report back through the coordinator's inbox.

In Skyflo

Orchestrate works from a mission's objective, choosing a strategy and lead agent. Depending on the strategy and work, it can assign scoped specialists in separate worktrees and add an independent reviewer who cannot edit files.

SourcesOrchestration

Is Orca free?

Yes. Orca is free and open source under the MIT License. You bring the subscriptions or keys for the agents you run, and Orca's account switcher shows Claude and Codex usage and rate-limit resets. Orca collects anonymous usage data, which you can turn off.

In Skyflo

Skyflo Free also runs the agents you already have, with no card. Paid plans add included models and optional Skyflo Cloud execution.

SourcesOrca README

Skyflo vs Orca, dimension by dimension.

The same 8 dimensions run on every engineering comparison, including the ones where Orca is stronger. A row reading “not addressed” means the reviewed documentation does not cover it, which is not the same as the product lacking it.

Orca and Skyflo across 8 dimensions
DimensionOrcaSkyflo
Primary unit of workA worktree with its agent terminal: every task gets its own on-disk copy of the repository, and one prompt can fan out across several agents. The experimental orchestration layer adds Runs, Tasks, and Dispatches for supervised multi-agent work.A mission: one goal with its conversation, the agents working on it, their approvals, and its record. It persists across sessions and goes idle rather than closing.
Execution environmentAgents run on your computer or, over SSH, on a remote machine with file editing, Git, terminals, and port forwarding; remote sessions survive closing the desktop app. Desktop apps for macOS, Windows, and Linux; iOS and Android companions pair with the desktop.Agents run on your Mac by default. On a paid plan you can start or move a mission to Skyflo Cloud, a machine Skyflo runs for that mission, which keeps working while your Mac sleeps. Only Codex and Skyflo's own agent run there; Claude Code stays on your Mac. A mission started there from a GitHub repository opens a pull request.
Agent and model choiceAny agent that runs in a terminal, including Claude Code, Codex, Grok, Cursor, GitHub Copilot, OpenCode, Antigravity, Pi, Devin, Cline, and Kiro, each on its own subscription. Orchestration workers can set a model and effort for Claude, Codex, Muse, Cursor, Antigravity, and OpenCode.Skyflo's own agent plus seven external agents: Codex, Claude Code, Cursor Agent, Antigravity, Grok CLI, OpenCode, and Pi, and one custom ACP agent added through a manifest file. External agents use their own sign-in and models; Skyflo's own agent uses included models on paid plans or your Moonshot or Z.ai key. Orchestrate runs several on one mission and can pick the lead.
Cross-repository coordinationEach repository has its own worktrees from a base ref, and orchestration can start a worker in a new worktree of a chosen repository on this or a connected Orca server. The reviewed sources organize that work around worktrees and tasks rather than one registered multi-repository mission.A workspace is an ordered set of up to eight registered Git checkouts, and one mission can span them. In Skyflo Cloud a mission spans one to five. Each writing specialist works in its own worktree, so edits stay apart while the work runs; integrating them is still a change you review.
Approval and mutation boundariesEach agent keeps its own permission settings in its terminal, and Orca's chat view shows an agent's permission requests and questions. Orchestration adds decision gates, coordinator questions that block a task until they are answered. The reviewed sources do not describe one access mode applied across agents.One access mode governs every agent on a mission, Skyflo's own and the external ones. Skyflo answers each agent's permission requests by that mode and records the decision. In Full access, the default for a new Auto mission, prompts are off and folder confinement is lifted. Orchestrate starts at Ask for approval, and Plan mode waits for you to approve the plan.
Independent reviewLine comments on an AI diff go back to the agent, pull requests and Linear issues open in the app, and racing several agents on one task lets you compare results. The reviewed sources do not define a dedicated reviewer role that cannot edit files.In Orchestrate missions, Skyflo adds a separate reviewer by strategy and risk, and Skyflo's own agent can start one. The reviewer can read, search, ask, and report, but cannot edit files. Not every mission is reviewed, and a review is a second opinion, not a guarantee.
Browser, terminal, and automation evidenceWebGL terminals with splits and scrollback that survives restarts, a Chromium browser with Design Mode, computer use for desktop apps, automations, and a CLI that agents can drive with commands such as orca worktree create, snapshot, click, and fill.Code, browser, terminal, and automations share one workspace, where you and Skyflo's own agent work in the same browser and terminal. Each mission keeps an append-only record on your Mac of approvals, Skyflo tool calls, including external agents' calls through Skyflo's tools, and review findings, every event hash-linked to the one before it.
Cross-mission memory, provenance, and user controlWorktrees and terminal scrollback persist between sessions. The reviewed sources do not document memory learned from completed work for later tasks.Personal memory stored on your Mac, learned from finished missions with a link to its source. Skyflo keeps a memory when the evidence supports it; otherwise it waits for you to keep, correct, or dismiss it, and you can remove any memory later. A workflow verified in two repositories can become a Skill once you or an independent agent approves it. Reverting a Skill or a routing change alters what Skyflo does next, not past work.

Try both on the same objective.

Pick the piece of work you were going to evaluate on.

Start free. macOS 14+, Apple silicon and Intel. Agent subscriptions and model keys you bring are billed by their providers.