AI-assisted development workspaces
See what your AI built. Instantly.
Every AI hosts its own workspace.
No manual setup. Just review.
What Agent-Up solves
Parallel AI work turns local development into distributed operations.
Every agent brings another branch, runtime, browser session, port range, and validation loop. Agent-Up manages that surrounding workspace layer so your applications stay unchanged and your review process stays focused on what changed.
Service sprawl
Constantly starting multiple services
One workspace command brings the whole stack back.
Agent-Up treats every workspace as a managed runtime. Frontend, API, background workers, and infrastructure are launched and restarted as one coherent environment instead of a checklist of forgotten commands.
Infrastructure collisions
Docker infrastructure collisions
Parallel branches stop fighting over the same infrastructure.
Each workspace owns its infrastructure lifecycle. Containers, databases, networks, and runtime assumptions stay scoped to the worktree that needs them.
Tab overload
Browser tab explosion
The browser becomes workspace state, not loose debris.
A workspace has one isolated browser profile and stable application tabs. Restarting apps reloads the active session instead of scattering more tabs across your browser.
Repeated login
Duplicated authentication
Authenticate once, then let humans and agents share the session.
Humans and AI agents interact with the same workspace browser state. Cookies, local storage, and application state are preserved for validation instead of recreated in another browser.
State drift
Inconsistent runtime state
One Server knows what is actually running.
The Server is the source of truth for processes, ports, browser profiles, health, diagnostics, and event history. Every client reads the same state.
Manual recovery
Manual process management
Stop nursing processes back to life by hand.
Workspace operations become server capabilities. CLI, Desktop, and MCP clients request actions from the same orchestration layer instead of each inventing process control.
Weak validation
Difficult validation of AI-generated implementations
Review behavior with browser evidence, not just diffs.
The intended workflow is for agents to restart a workspace, inspect the shared browser, interact through MCP, retrieve diagnostics, capture screenshots, and generate Playwright tests from recorded intent.
Validation loop