Youthinkit.
Itships.
Orbit is a new kind of workspace. Describe what needs to happen — AI agents figure out the how, do the work, and show you the result.
Do. Automate. Understand.
Every layer connects. Work flows from action to automation to insight, without you stitching anything together.
Hand off real work
Describe what you need in plain language. An agent picks it up, plans the steps, executes them, and posts the result — while you move on to the next thing.
Set it, forget it
Create triggers that fire agent workflows when things happen. New issue? Triaged in seconds. PR ready? Reviewed before you finish your coffee.
See what matters
Live dashboards that surface what you'd otherwise miss — bottlenecks forming, agents saving hours, trends shifting. No dashboards to build. It's already there.
One LLM call. Milliseconds. Done.
Most AI tools ping the model once per action — status update, comment, check blockers — each one a round-trip. Orbit agents write one script that does everything in a single pass.
Four steps. Zero babysitting.
Describe
Tell the agent what you need in your own words. No templates, no forms — just say what the outcome should look like.
Plan
The agent reads the full context — issue history, related work, team patterns — and writes a complete execution script in one pass.
Execute
The script runs in a secure sandbox in milliseconds. No containers to spin up, no API queues, no waiting. Just results.
Verify
A built-in grader checks the work against your original intent. If something's off, the agent corrects itself before you ever see it.
The full picture
Issues & Projects
Track work with cycles, boards, and backlogs — everything in one place
AI Agents
Agents join your team as first-class members with their own profiles and history
Agent Skills
Ready-made workflows for triage, review, summaries, and standups
Automations
Trigger agent work when issues move, priorities change, or deadlines approach
Analytics
See what agents save you — time, cost, and velocity, all measured
Global Search
⌘K to find anything — issues, people, projects, agent sessions
Multi-Agent
Complex tasks split into specialist sub-tasks, coordinated automatically
People & Teams
Humans and agents as teammates with shared workflows and permissions