Tier 1
Plan, execute, and heal — Orbit runs real agents, not just chat
Orbit is an AI agent platform where autonomous agents plan tasks, execute tools in cloud sandboxes, and self-heal failures. Agents handle multi-step jobs like building an app, running deep research across 65+ sources, or iterating on media — with full visibility into every step.
AI Agent Platform
Orbit's ReAct loop gives agents a ceiling of 25 tool calls per chat turn and 220 for builds, a 10-minute wall-clock timeout, and a circuit breaker that stops cascading failures. You watch every step in a live timeline: thinking, tool calls, results, and the final answer.
In plain English
Agents on Orbit are like trained assistants with clear rules: they plan, take action, check results, and stop when the job's done — with limits that stop them from running away with your credits.
How it works in Orbit
Orbit's agents are built on a plan-execute-heal loop with hard guardrails. The result is autonomy you can watch, audit, and stop — which is the difference between an agent and a runaway script.
The ReAct loop, constrained
Each agent run follows a ReAct pattern: think about the next step, act with a tool, observe the result, repeat. Orbit wraps that loop in ceilings — 25 tool calls per chat turn, 220 for builds, and a 10-minute timeout — so an agent pursues the goal without spiraling into unbounded work.
Sandboxes isolate every action
All tool execution happens in isolated E2B sandboxes. Writes are guarded by path checks, file access is scoped per project, and security scans inspect output for leaked secrets. This keeps agents powerful without giving them the keys to your machine.
Self-healing on failure
When a tool call fails, the agent observes the error and retries with a corrected approach. A circuit breaker halts cascading failures, and the timeline records exactly what happened so you can learn why and adjust.
Full transparency in the timeline
Every step — reasoning, tool calls, results — streams into a live timeline. Teammates can audit how a build was created or a report was researched, which makes agent output auditable rather than mysterious.
Give the agent a goal
Describe the outcome — 'research this market and draft a report.'
Watch the plan form
The agent breaks the goal into steps and shows its plan in the timeline.
Observe tool execution
Each tool call and result streams in real time with full visibility.
Step in if needed
Pause, redirect, or stop the run at any point — the agent respects the interrupt.
Review the artifacts
Files, reports, and media land in the project where you can inspect and export them.
The challenge
Try it yourself
Run this one on a competitor first — then on Orbit. Same prompt, and keep score.
Build
Try this one elsewhere first.
Let an agent run without limits and ask for a status update tomorrow. Then try Orbit, where every run has ceilings and timeouts — and decide which one you'd trust with a real project.
Research
Ask a research tool to go deep on one topic.
Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.
Chat
Ask a plain chatbot the same question.
One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.
Image & video
Generate the same image, then edit it.
Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.
150+
models routed per task
1h
cloud sandbox sessions
25
tool calls per chat turn
8–14
deep research rounds
Explore related topics
Orbit vs Devin
Devin is an autonomous AI software engineer that takes tickets and ships PRs. Orbit runs agents for building, research, and media in an interactive workspace.
Orbit vs Manus
Manus is a general-purpose autonomous agent for web tasks. Orbit is a workspace where specialized agents build apps, research deeply, and generate media.
Orbit vs Windsurf
Windsurf is an AI-powered IDE for coding in your codebase. Orbit is an AI workspace that builds, researches, and generates — compare the fit.
Orbit vs Claude Code
Claude Code is Anthropic's terminal-based coding agent. Orbit is a cloud workspace with agents for building, research, and media — compare the workflows.
Explore more
Orbit vs Devin
Devin is an autonomous AI software engineer that takes tickets and ships PRs. Orbit runs agents for building, research, and media in an interactive workspace.
Orbit vs Manus
Manus is a general-purpose autonomous agent for web tasks. Orbit is a workspace where specialized agents build apps, research deeply, and generate media.
Orbit vs Windsurf
Windsurf is an AI-powered IDE for coding in your codebase. Orbit is an AI workspace that builds, researches, and generates — compare the fit.
Orbit vs Claude Code
Claude Code is Anthropic's terminal-based coding agent. Orbit is a cloud workspace with agents for building, research, and media — compare the workflows.
Frequently asked questions
What can Orbit agents do autonomously?
Build full web apps, run multi-round deep research, generate and edit images and video, search the web, execute Python, and orchestrate MCP tools — all with tool-call ceilings and timeouts that prevent runaway loops.
Are Orbit agents safe to run?
Agents run inside isolated E2B sandboxes with per-project locks, file-path guards on writes, security scans that block leaked secrets, and hard ceilings on tool calls and wall-clock time.
How much can an agent do in one run?
Chat turns allow up to 25 tool calls and a 10-minute wall-clock timeout; builds can use up to 220 tool calls. A circuit breaker stops cascading failures before they consume your credits.
Can I see what an agent is doing?
Yes. Every run shows a live timeline of thinking, tool calls, and results, so you can audit each step and stop the agent at any point.
Can Orbit agents use my own tools?
Yes. Orbit supports MCP (Model Context Protocol) tools, letting agents orchestrate external services and APIs you configure, with the same safety limits applied.