Vercel
@vercel
Conductor's parallel coding agents were local-only, but now they can run remotely on Vercel. "Our customers can't tell the difference because Vercel's Sandboxes are so fast." https://t.co/ItuYl5F331
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View on XConductor moves parallel coding agents to the cloud via Vercel Sandbox
Vercel· Updated
Conductor has launched Cloud Workspaces, a remote execution layer built on Vercel Sandbox that moves its multi-agent coding environment from local machines to the cloud. This shift allows developers to run a fleet of autonomous agents in parallel without consuming local CPU or stopping work when a laptop is closed.
Conductor, a multi-agent IDE, has launched Cloud Workspaces to move its execution layer from local hardware to Vercel. Using Vercel Sandbox—an isolated microVM—the platform runs multiple coding agents in parallel. Agents now continue working on isolated branches even after a developer closes their laptop.
- Execution environment
- Vercel Sandbox (microVM)
- Supported agents
- Claude Code, Codex, and others
- Deployment model
- Cloud Workspaces (remote)
- Key customers
- Notion, Linear, Ramp, and others
This shift addresses the hardware ceiling of local development. While multi-agent command centers like the Codex app are becoming standard, local execution causes thermal throttling. By adopting the Vercel Sandbox environment, Conductor provides a model-agnostic workspace that removes local constraints, mirroring how Notion Workers execute code in the cloud.
Developers can now spawn a fleet of agents—including Claude Code and Codex—to tackle tasks simultaneously in the cloud. The interface remains identical to the local version, but agents run on remote servers. Cloud Workspaces are available now for teams, including those at Notion and Linear.
Still wondering? A few quick answers below.
Conductor Cloud Workspaces is a remote execution layer that moves parallel coding agents from local machines to the cloud. Built on Vercel Sandbox, it allows developers to run multiple agents simultaneously on isolated branches without consuming local CPU or stopping work when the laptop is closed.
Conductor uses Vercel Sandbox as its cloud execution environment. Each workspace spins up in an isolated microVM, providing a secure and fast environment for agents to write and test code. This infrastructure ensures that remote execution feels as responsive as local development while providing greater reliability.
Conductor is model-agnostic and supports various coding agents, including Claude Code and Codex. Because the cloud layer is decoupled from the specific AI models, developers can switch between different frontier models or agent harnesses while maintaining the same persistent execution environment on Vercel.
Running multiple coding agents locally creates significant hardware strain, leading to high CPU usage and battery drain. Cloud execution allows for persistent workflows where agents continue working even if the developer is offline, enabling a fleet of agents to tackle complex tasks at scale.
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