ComparisonFirst-party sources · reviewed 2026-08-13
Skyflo vs Factory
Factory Missions decomposes broad work across multiple Droids. Skyflo keeps a locally executed, approval-gated mission and its evidence together.
Compare a broad agent platform with a persistent local engineering harness.
Every statement about Factory below is limited to behavior documented on the first-party pages listed at the foot of this page, on the date they were read. Where those pages do not cover a dimension, the table says so instead of guessing.
Factory · documented strength
Factory Missions automatically decomposes broad objectives into ordered subtasks, runs multiple Droids in parallel, coordinates multi-repository migrations, and validates milestones.
Skyflo · where it sits
Skyflo's distinction is local Mac execution, one explicit plan-approval gate, a mutation-disabled reviewer, and user-accepted source-linked memory attached to the mission.
Sources
4 first-party pages
Method
No winner score
The fixed rubric
Skyflo vs Factory, dimension by dimension
The same 8 dimensions run on every comparison page, including the ones where Factory 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.
| Dimension | Skyflo | Factory |
|---|---|---|
| 01Primary unit of work | A persistent mission: one objective with its approved plan, work, review, and accepted memory. | A Mission containing decomposed subtasks assigned to multiple Droids. |
| 02Execution environment | Skyflo Desktop runs against registered checkouts and credentials on a linked Mac. | Editors, browser, Slack, and terminal. |
| 03Agent and model choice | An orchestrator assigns bounded work to specialists; model routing can use supported signed-in harnesses or configured providers. | Missions spawn specialist workers and validators; custom Droids specify prompts, model preference, and tool policy. |
| 04Cross-repository coordination | One mission can span an ordered set of registered Git checkouts under one approved plan. | Missions explicitly coordinate multi-repository migrations, including dependency ordering and parallel work. |
| 05Approval and mutation boundaries | Discovery starts read-only, and plan mode blocks implementation until the user approves the boundary. | Tool policies and autonomy settings constrain Droids. |
| 06Independent review | A separate reviewer profile can read, search, and report but cannot edit or run mutating capability operations. | Read-only tool policies and reusable review Droids are documented. |
| 07Browser, terminal, and automation evidence | Code, browser, terminal, monitors, and automations stay attached to the same mission record. | Browser and terminal are first-class documented surfaces. |
| 08Cross-mission memory, provenance, and user control | Source-linked personal memory can be accepted, dismissed, retrieved, forgotten, or deleted by the user. | Factory documents user-managed memory through markdown files, AGENTS.md references, rules, and hooks rather than built-in cross-session memory. |
The decision
Choose for the shape of the work.
Choose Factory when
01- You want Droids in the development and communication surfaces your team already uses.
- Automatic decomposition, dependency ordering, and parallel multi-agent execution are central to the workflow.
- You need coordinated migrations across many repositories.
Choose Skyflo when
02- The objective must run against registered checkouts and credentials on a linked Mac.
- Implementation must block on one explicit mission-level plan approval.
- A separate, mutation-disabled reviewer is a hard requirement.
You might use both when
Use Factory for native multi-agent decomposition and broad migrations, and Skyflo when the objective must execute locally with an explicit approval gate, mutation-disabled review, and user-accepted memory.
Evidence ledger
First-party sources, dated.
Last reviewed 2026-08-13
Evaluate with your own objective
Try both on the same objective.
Pick the piece of work you were going to evaluate on. We stay inside behavior available in the current Desktop build and label anything Preview or Planned as we go.
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