Baton vs Orbit

Baton and Orbit are both cli coding agents tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Baton

Baton sits in your menu bar and polls the signals your machine already produces — no manual logging, no clipboard tricks — to show you which AI coding sessions are mid-run and which have handed the decision back to you. The core metaphor is the 🎽 icon: the baton is with the agent, or it's with you. Click the menu, see the queue, jump straight to the session that needs a response. This is a local Python app, MIT-licensed, installed via a shell script, and it runs entirely on your machine. It works with Claude Code and Codex threads on macOS — nothing else, and no roadmap to something else is documented.

Orbit

Orbit structures agent execution around a single concept: one task, one orbit, bounded by real checks — tests, lint, type validation — and recorded in inspectable JSON artifacts before anything advances. The vendor describes it as agent-neutral: Claude, Codex, Cursor, or any JSON-speaking CLI slots in behind the same contract, so teams can swap agents and compare output artifacts instead of gut feelings. The architecture is intentionally small, which means the harness is easy to verify and replay, but it also means Orbit does not ship workflow UI, cloud hosting, or a managed backlog service. Teams with complex multi-agent pipelines or a need for a hosted dashboard will be assembling those pieces themselves. Where it shines is the messy middle: failing tests handed to an agent, with proof required before the task closes.

Attribute	Baton	Orbit
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	macOS	Python; Linux, macOS, Windows (via WSL or native Python)
Pros	Reads session state from signals your machine already emits with no manual tagging required, so you skip the meta-work of tracking the tracker. Menu bar presence gives you persistent ambient visibility without opening a separate app, which means a stalled session doesn't stay hidden behind a terminal window you forgot about. Click-to-jump navigation takes you directly from the status view to the waiting session, so the time between 'agent is blocked' and 'you respond' shrinks to a single click rather than a tab hunt. MIT license and local-only architecture mean no data leaves your machine and no subscription gates the feature set — the thing you install on day one is the complete tool. Install script handles dependency setup, so the gap between 'found this on GitHub' and 'running in my menu bar' is a single shell command.	Validation gates block task completion until tests, lint, and type checks pass — so an agent cannot mark work done without machine-verifiable proof, eliminating the silent failure mode where agents self-report success on broken code. Agent-neutral JSON contract means swapping from one coding agent to another requires no structural changes to the harness, so teams evaluating multiple agents get comparable artifact sets instead of incomparable anecdotes. Dependency-aware backlog selection keeps each orbit scoped to one task at a time, which means multi-step projects advance in verified increments rather than accumulating unvalidated drift across parallel agent threads. Structured artifact output — agent-result.json, evaluation.json, review.json, progress.md — gives reviewers an inspectable record of every decision and validation outcome, so audits and post-mortems have a durable evidence trail instead of reconstructed logs. MIT-licensed and self-hosted, so the entire execution environment stays on infrastructure the team controls — no vendor dependency on a cloud service that changes pricing or availability.
Cons	macOS is a hard requirement with no documented workaround — developers on Linux or Windows cannot run this at all, and teams with mixed environments need a different solution from day one. Support is scoped to Claude Code and Codex; the moment your workflow adds a third agent type — say, a custom LangChain runner or a Cursor session — Baton goes dark on that thread and you're back to manual tracking for part of your stack. There is no shared or team-facing view: status is visible only to the person running the local app, so any team that needs collective awareness of which agents are blocked across multiple developers has to maintain a separate coordination layer. Zero API surface means you cannot pipe Baton's session state into a dashboard, alert system, or ticketing tool — teams that want agent status wired into their existing ops tooling have to instrument that themselves from scratch or switch to a tool built for integration.	Orbit ships no hosted control plane, no web UI, and no managed backlog service — teams that need non-engineers to review agent progress or manage task queues through a dashboard face a full custom build before Orbit is usable at that level. The harness requires every coding agent to speak JSON from the CLI; agents or tools that expose only browser-based or proprietary interfaces cannot be connected without writing and maintaining a custom adapter, which adds an ongoing maintenance surface. At the scale where a team needs parallel agent execution across multiple repositories with centralized visibility, Orbit's intentionally small scope becomes a structural ceiling — teams at that point are evaluating purpose-built CI orchestration platforms or managed agent infrastructure, not a local harness.

Bottom line

Baton and Orbit are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Baton and Orbit?

Baton is Free and open source, while Orbit is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Baton better than Orbit?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Baton vs Orbit: which should I pick?

Pick Baton if its pricing model, openness, or platform fit matches your constraints; pick Orbit otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.