Comparison from first-party sources, read Oct 9, 2026

Skyflo vs Warp

Warp now leads with Warp Factories, in early access, beside its agentic terminal and the Automation Platform, formerly Oz, for local and cloud agents. Skyflo runs its own agent and seven external agents on missions on your Mac, with Skyflo Cloud on paid plans.

Download for Mac Compare side by side

Compare the products across execution, coordination, approval, evidence, and memory.

At a glance8 dimensions, no winner score

WarpDocumented strength

Warp documents an open-source agentic terminal and the Automation Platform, formerly Oz, which runs Warp Agent, Claude Code, or Codex as cloud agents from schedules, Slack, CI, or the API, records every run as a task, and offers self-hosted runners. Warp Factories, in early access with published pricing, use a foreman to move work through triage, spec, implement, and review agents.

SkyfloWhere it sits

Skyflo keeps each mission on your Mac by default, runs its own agent and seven external agents under one access mode it records, and leaves source-linked memory you can keep, dismiss, or remove.

12 first-party sourcesRead Oct 9, 2026

The decision.

Do you want an agentic terminal and a cloud automation platform that moves work through specialist agents, or missions on your Mac that run several agents under one access mode?

Warp suits teams who want cloud agents triggered by schedules, Slack, CI or an API, tracked as tasks, and Factories (early access) that route work through triage, spec, implement and review agents. Skyflo suits work that should run on your Mac by default, with one access mode for every agent and a record and memory you keep.

Not run by Skyflo. Skyflo does not run Warp. Both can run Claude Code and Codex: Warp as cloud harnesses, Skyflo inside missions on your Mac.

Choose Warp when

You want Warp's terminal-centered environment, which also recognizes many third-party CLI agents.
Cloud agents started by schedules, Slack, CI, or an API, with every run tracked as a task, are central requirements.
You want a team of specialist agents with a human approving the spec, on Warp-hosted runners or, on Enterprise, self-hosted ones.

Choose Skyflo when

The work should run on your Mac by default, moving to Skyflo Cloud only when you start or move a mission there.
One access mode should govern every agent on a mission, and each decision should be recorded.
Memory learned from finished missions should link to its source and be yours to keep or remove.

You might use both when

Use Warp for terminal work and cloud automation, and Skyflo for missions on your Mac that need one access mode and a record across several agents.

For company leaders and teams

Warp for teams: Free, Build ($20 a month) and Max ($200), Business ($50 a user a month) with SAML SSO and admin controls, and Enterprise through sales with SCIM, bring-your-own inference, self-hosted cloud agents and an Analytics API in early access. Factories have their own plans. Warp is SOC 2 Type II certified, and its client is AGPL v3.
Skyflo for teams, today: Team and Team Max are self-serve plans billed per user, with one bill, members and roles, and included usage shared across the team. Larger rollouts start with a pilot. SSO, SCIM and compliance certifications are not offered.

Skyflo vs Warp, dimension by dimension.

The same 8 dimensions run on every engineering comparison, including the ones where Warp 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.

Warp and Skyflo across 8 dimensions
Dimension	Warp	Skyflo
Primary unit of work	A task, the tracked record of each agent run; Factories add work items moved through specialist agents.	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 environment	Warp's local environment plus cloud agents on the Automation Platform, Warp-hosted or on self-hosted runners for Enterprise.	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 choice	Warp Agent with models from OpenAI, Anthropic, z.ai and others; Claude Code and Codex run as cloud harnesses on paid plans, with multi-harness orchestration in beta, and the terminal recognizes 16 third-party CLI agents.	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 the managed models every paid plan includes, or your Moonshot or Z.ai key. Orchestrate runs several on one mission and can pick the lead.
Cross-repository coordination	Parallel agents can run across repositories, and a factory attaches a set of repositories.	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 boundaries	Agent profiles and permissions control what agents may do; in Factories a human approves the spec by default, and agents never merge.	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 review	Factories include a review agent that independently checks the finished change, recommended on a different model or harness. It recommends rather than approving or merging; the reviewed docs do not describe it as unable to change 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 evidence	Terminal, schedules, triggers, and run records are first-class, and factory agents can capture visual evidence with computer use.	Code, browser, terminal, and automations share one workspace, where you and Skyflo's own agent work in the same browser and terminal. On paid plans, missions sign in to websites with your saved sign-ins, passwords kept in the Keychain, and agents can work in any Mac app through Skyflo Computer Use, stopping before a submit, send or payment outside Full access. 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 control	Agent Memory, shared across Warp Agent, Claude Code, and Codex, is a research preview enabled per team for design partners through a waitlist and listed on the Enterprise plan. Each memory records its source.	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, and you can also teach a Skill a task once, by showing it, saving a finished mission or attaching the steps. Reverting a Skill or a routing change alters what Skyflo does next, not past work.

First-party sources, dated.

Last reviewed Oct 9, 2026

Every statement about Warp on this page is limited to behavior documented on these pages, on the date they were read. Where they do not cover a dimension, the table says so instead of guessing.

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