One workspace across AI tools

Why LobeWork is designed as one project workspace across the AI tools you choose.

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LobeWork is built around a simple idea: the project should remain intact even when the work crosses models, files, tools, and sessions.

What the desktop workspace focuses on

The first commercial release centers on the desktop project workspace:

  • projects, tasks, files, artifacts, prompts, and decisions,
  • provider and local-model connections,
  • context packages and clean handoffs,
  • Project Map for understanding relationships,
  • Agent Workspace for structured runs,
  • Git and connected-tool workflows,
  • online, offline, and private working postures.

What LobeWork does not replace

LobeWork does not include third-party AI subscriptions or API usage. You bring the providers and accounts you choose. LobeWork organizes the work around them.

Why the desktop matters

A desktop workspace can stay close to local project files, development tools, browser sessions, and supported local models. The goal is not to move every activity into a new cloud silo. It is to give the project a stable operating layer.

What comes next

LobeWork evolves around the same priority: keep the project coherent while improving the workflows that help people move work forward.