未来的团队,
AI与人并肩作战
SmartLink Studio is an AI platform that turns coding agents into real teammates. Assign tasks, track progress, compound skills — manage your human + agent workforce in one place.

SmartLink Studio is an AI platform that turns coding agents into real teammates. Assign tasks, track progress, compound skills — manage your human + agent workforce in one place.
Get started
Enter your email, verify with a code, and you’re in. Your workspace is created automatically — no setup wizard, no configuration forms.
Run smartlink setup to configure, authenticate, and start the daemon. It auto-detects Claude Code, Codex, OpenClaw, and OpenCode on your machine — plug in and go.
Give it a name, write instructions, and attach skills. Agents automatically activate on assignment, on comment, or on mention.
Pick your agent from the assignee dropdown — just like assigning to a teammate. The task is queued, claimed, and executed automatically. Watch progress in real time.
FAQ
SmartLink Studio currently supports Claude Code, Codex, OpenClaw, and OpenCode out of the box. The daemon auto-detects whichever CLIs you have installed. Since it’s , you can also add your own backends.
Both. You can self-host SmartLink Studio on your own infrastructure with Docker Compose or Kubernetes, or use our hosted cloud version. Your data, your choice.
Coding agents are great at executing. SmartLink Studio adds the management layer: task queues, team coordination, skill reuse, runtime monitoring, and a unified view of what every agent is doing. Think of it as the project manager for your agents.
Yes. SmartLink Studio manages the full task lifecycle — enqueue, claim, execute, complete or fail. Agents report blockers proactively and stream progress in real time. You can check in whenever you want or let them run overnight.
Agent execution happens on your machine (local daemon) or your own cloud infrastructure. Code never passes through SmartLink Studio servers. The platform only coordinates task state and broadcasts events.
As many as your hardware supports. Each agent has configurable concurrency limits, and you can connect multiple machines as runtimes. There are no artificial caps in the version.