AutoMaxFix vs Baton

AutoMaxFix and Baton 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.

AutoMaxFix

AutoMaxFix runs a detect-reproduce-repair loop: it watches for test failures or runtime drift, surfaces one ticket at a time, lets an AI agent propose a patch, and stops cold until a human approves it. That deliberate stop is the point. The vendor describes it explicitly as 'the boring opposite of an autonomous agent' — one ticket, one patch attempt, one approval, one report. Every fix is logged with provenance so you can trace what changed and why. The ceiling arrives fast: the tool handles one ticket per execution, so teams running parallel failure streams will need external orchestration to manage the queue.

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.

Attribute	AutoMaxFix	Baton
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Linux, macOS, Windows (Python 3.11+)	macOS
Pros	Human approval gate is structural, not configurable — patches cannot merge without explicit sign-off, so teams using AI coding agents have a documented decision point for every change rather than discovering autonomous commits after the fact. Fix provenance logging means every patch carries a record of what triggered it, what the agent proposed, and who approved it, so a post-incident audit does not require reconstructing context from git blame and Slack history. Single-ticket, single-patch execution model keeps the blast radius of any one repair attempt contained — a bad patch attempt does not cascade into a queue of subsequent changes built on a broken base. MIT-licensed and self-hosted, so the tool runs inside your existing infrastructure without routing code or failure telemetry through a third-party cloud, which matters when the codebase contains proprietary logic. Test failure and runtime drift detection in one loop means the tool catches failures that show up after deployment — not just the ones CI catches before it — so drift that accumulates quietly in production is surfaced before it compounds.	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.
Cons	Single-ticket-per-execution is a hard architectural limit: when multiple tests fail simultaneously or a deploy surfaces a cascade of issues, there is no built-in queue. Teams with parallel failure streams have to wrap the CLI in their own orchestration layer, which means they are now maintaining that glue code. No hosted option, no webhook integration, and no multi-user approval UI means the approval gate is a local CLI prompt — functional for a solo developer or a small team running in the same terminal session, but not viable for a distributed team that needs asynchronous review. Teams that need a browser-based approval workflow or Slack-integrated sign-off will need to build that integration themselves or move to a different toolchain. At 16 commits with pull requests still open, the documented integration surface is thin. Teams cannot assume the examples directory covers their CI/CD setup — expect to read source code to understand behavior at the edges, and expect the API surface to shift before it stabilizes.	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.

Bottom line

AutoMaxFix and Baton 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 AutoMaxFix and Baton?

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

Is AutoMaxFix better than Baton?

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.