Plan, browse, and act
Orbit breaks goals into visible steps, opens tools, gathers context, and keeps the next action clear.
Orbit lets users create AI agent bots that remember instructions, run on a schedule, use connected tools, and report back when recurring work is done.
Check inbox at 9:00 AM, summarize new leads, and update the user dashboard.
Every panel is designed for scanning: what the agent knows, what it is doing, and what it needs from you.
Orbit breaks goals into visible steps, opens tools, gathers context, and keeps the next action clear.
Chat, task state, files, schedules, and the live desktop stay in one quiet command center.
Turn repeat work into scheduled runs with execution history and human checkpoints.
Suggests the right connected tools as the task evolves, then uses them with auditable context.
Keep preferences, agent configuration, and run history available without burying teams in setup.
Orbit makes agent behavior legible. You get clear planning, tool execution, human review points, and durable records for each run.
Give Orbit a goal, attach context, or start from an existing routine.
The agent maps tools, dependencies, and checks before it starts acting.
Review sensitive actions, scheduled work, and external tool changes.
Every run leaves a clean trail of outputs, decisions, and next steps.
“Orbit makes agent work feel operational instead of experimental. The run trail is the difference between a clever demo and something I can trust.”
Faster handoff from task request to reviewed output when routines and tools are kept in one place.
Yes. Routines can be scheduled, tracked, and reviewed with execution history so repeat work stays visible.
No. The landing page points users into the existing workspace where agents, tools, chats, and schedules live.
Both. The page presents Orbit as a lightweight command center for individuals, founders, and operational teams.