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Command Fleet vs. the field

The market is full of ways to run one AI agent on one repo. Command Fleet is built for a different job: running many agents across your whole portfolio, autonomously, on your own machine.

Capability Command Fleet Vibe Kanban Conductor Cloud agents (Devin)
Manage many projects / portfolioYesBoard, single-repoNoLimited
Agent-agnosticClaude · Codex · GeminiMultiClaude-focusedOwn agent
Runs fully local / privateYesYesYesCloud
Isolated worktrees + diff reviewYesYesYesPR-based
Autonomous plan → build → reviewYesNoNoYes
Built-in preview & deploy6 stack packsNoNoPartial
Bring your own subscriptionsYesYesYesPay per platform
PlatformWindowsCross-platformmacOSWeb
StatusActiveWinding downActiveActive

Comparison reflects publicly known positioning at time of writing. Names are trademarks of their owners.

Migration

Coming from Vibe Kanban?

Vibe Kanban popularized the Kanban-over-agents idea, but it's winding down. Command Fleet picks up where it left off — same board-driven, multi-agent, local model, plus a portfolio layer and an autonomous build loop.

Read the migration guide →

vs Conductor / Crystal

More than parallel sessions

Tools like Conductor and Crystal are great at running parallel agents on one repo. Command Fleet adds the layer above: many projects, any agent, and a manager that plans and ships whole builds.

Why portfolio scale matters →

vs cloud agents

Autonomy without the cloud

Devin and friends are powerful but run on someone else's servers with their own model. Command Fleet gives you autonomous builds while your code, keys, and data stay on your machine — with the agents you already pay for.

The case for local-first →

The open quadrant is right here.

Portfolio-scale, agent-agnostic, autonomous, local. Try it free for 14 days.