Skyflo.ai
Skyflo · Coding
Skyflo.ai is a local-first control plane for AI coding agents, keeping one approved plan, isolated worktrees, independent review, and a durable record across Codex, Claude Code, and more.
About Skyflo.ai
What Is Skyflo.ai
Skyflo.ai is an AI coding agent control plane for agentic engineering. It sits above the coding agents you already run, such as Codex, Claude Code, and Cursor Agent, and holds a single approved plan while they work across repositories, the browser, and the terminal. The app runs on your Mac and keeps each mission's record there, so your code and credentials stay on your machine.
The problem it solves is multi-repo agent orchestration. When one agent handles a task in one repo and another agent handles a different task elsewhere, nothing above them holds the shared objective. Skyflo gives them one approval policy, separate Git worktrees that cannot collide, and an independent reviewer that can read code but never edit it. The work lives on in a persistent record instead of disappearing when a session ends.
The trade-offs are real. Skyflo is a desktop app for engineers, not a chat box for casual users. Most of the value depends on you already having coding agents set up, and several team features, such as shared organization memory and enterprise controls, are still listed as planned rather than shipped.
Getting Started
- Download Skyflo Desktop and connect the coding agents already signed in on your Mac, or add your own provider keys.
- Register the Git checkouts a change will touch, since one mission can span several repositories at once.
- Give the mission an objective and let it read the workspace in read-only mode before it drafts a plan.
- Review the plan and approve the implementation boundary, which unlocks execution across the isolated worktrees.
- Let the specialist agents implement, then read the independent review report before the mission records what it learned.
Product Information
A quick look at Skyflo.ai's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Software engineers already running Codex, Claude Code, or Cursor Agent
- Tech leads juggling parallel changes
- Teams that need an audit trail
Tasks
- Multi-repo migrations
- Coordinated security responses
- Cross-agent handoffs
Scenarios
- Running a production change overnight
- Keeping credentials local
- Onboarding a new repository
Key features
Multi-Agent Orchestration in One Mission
Skyflo runs Codex, Claude Code, Cursor Agent, Antigravity, Grok CLI, OpenCode, Pi, and conforming ACP agents inside a single mission, each in an assigned Git worktree. You can swap the agent on a task while the mission, its record, and what it learned stay in place. ACP-compatible agents register through a manifest, and every runtime reaches Skyflo's tools over MCP through the same policy and approval path.
Approval-Gated Execution
A mission is a state machine that advances through six states and blocks in plan mode until you approve the implementation boundary. External runtimes start at a maximum-ask setting, so Skyflo decides who answers each request and records the decision. When a review comes back short, the mission can return to planning instead of pushing ahead.
Independent Read-Only Review
The reviewer runs as a separate profile that holds file.read, file.search, and agent.report, with mutationAllowed set to false. It can inspect every worktree and report findings, but it cannot edit the code it reviews. Those findings attach to the mission, while the edits stay with the specialist agents that made them.
Cross-Mission Memory
What a completed mission learned, such as a convention you stated or a command sequence the work verified, becomes memory for that repository. Records the evidence supports are kept automatically and the rest wait for your call. Each record links to the mission and files that produced it, and retrieval happens against the current workspace so unrelated history stays out of context.
Bring Your Own Keys or Managed Models
For BYOK AI agents, provider-direct requests use the accounts and keys you configure, including Kimi, GLM, Mistral, and DeepSeek models, and BYOK credentials stay in the macOS Keychain. On a paid plan, Skyflo Managed adds a second lane where the models come with the plan instead of your keys. The two lanes stay separate, and managed usage is metered separately.
Append-Only Mission Record
Each mission keeps a record on your Mac covering the objective, its plan versions and approvals, every tool call, and the reviewer's findings. The record is append-only and every event is hash-linked to the one before it, which catches accidental corruption, missing events, and reordering. It is not a defense against someone who can rewrite the whole store, so it is a trace, not a vault.
Pros and cons
Pros
- One approval policy and one record across every coding agent, instead of a separate setting inside each tool.
- Isolated Git worktrees let parallel agents work across repositories without their changes colliding.
- An independent reviewer that can read code but holds no write access, so review stays separate from the edits.
- Local-first by default, with BYOK credentials kept in the macOS Keychain and execution on your linked Mac.
- Revertible learning: memory, Skills, and routing changes each list a source and can be undone.
Cons
- It's a macOS desktop app aimed at engineers, so there is no mobile or web-only way to run a mission.
- Team administration, organization-wide shared memory, and enterprise controls are still listed as planned, not shipped.
- The most useful setup assumes you already have coding agents and provider accounts, which adds upfront work for newcomers.
- Skyflo Cloud machine time is billed at roughly 9 cents to 1.33 USD an hour, so leaving a mission running there adds cost.
Frequently asked questions
Skyflo.ai keeps multiple AI coding agents working toward one approved objective across repositories. It holds the plan, isolates each agent's work, runs an independent review, and records what happened, so agent work stays coordinated and traceable.
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