AutoMaxFix vs Bohay

AutoMaxFix and Bohay 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.

Bohay

The tool gives you a single interface to watch every agent's real status, not what the CLI reports but whether the process is actually doing work. File leases prevent overlapping edits before they're even assigned; isolated git worktrees keep agents from colliding on the same checkout; a test gate must pass before a task merges. Sessions survive terminal restarts, and each agent reloads its own chat history without you repasting flags. The orchestration board tracks dependencies so tasks wait for upstream work to clear the quality gate before they start.

Attribute	AutoMaxFix	Bohay
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+)	Terminal, macOS (notch panel)
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.	File lease system prevents overlapping edits from being assigned in the first place, so two agents cannot be handed the same path — without this, the collision only surfaces after both agents have already written conflicting changes. Sessions persist across terminal restarts and each agent reloads its own chat history automatically, so a dropped connection or accidental close does not mean repasting context flags and reconstructing state by hand. Isolated git worktrees per task mean agents work on separate copies of the repo, so a half-finished feature branch cannot break another agent's passing tests mid-run. The quality gate requires your test command to pass before a task counts as done and before its branch merges, so broken code does not land in the shared checkout without you catching it. macOS notch integration surfaces every agent's live status and blocked requests in a native panel, so you can approve an agent without context-switching away from whatever you were doing.
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.	No API is available, so any team that needs to query agent status from an external dashboard, trigger tasks from a CI pipeline, or hook bohay into an existing internal tool hits a hard wall — the only integration surface is the terminal interface itself, and teams with that requirement switch to an orchestration layer that exposes a programmatic interface. The tool is terminal-first and currently targets Mac for the notch feature; teams on Windows are directed to an alternate install path with no equivalent native monitoring surface, and the vendor page offers precious little detail on Windows parity. Orchestration depends on a test command as the quality gate — teams without a reliable automated test suite get no meaningful gate, meaning the merge protection the orchestrator promises is only as solid as the tests backing it.

Bottom line

AutoMaxFix and Bohay 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 Bohay?

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

Is AutoMaxFix better than Bohay?

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.