AutoMaxFix vs Makoto

AutoMaxFix and Makoto 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.

Makoto

Makoto hooks into Claude Code's event stream and audits each assertion — test results, citation matches, commit records, certificate claims — against a ledger of what the agent actually did, not what it reported. The vendor states the design targets zero false positives, meaning Makoto blocks on confirmed fakes rather than flagging on suspicion. That precision matters in CI gates where a noisy checker gets disabled within a week. The tool is reactive, not autonomous: it sits between agent action and downstream consequence, checking receipts. Teams without Claude Code in their stack have nothing to hook into — this is not a general-purpose verification layer.

Attribute	AutoMaxFix	Makoto
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+)	Python, Claude Code
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.	Blocks fabricated test and verification claims at the event level rather than logging them after the fact, so a false 'tests pass' report cannot reach a deployment gate unchallenged. Zero-false-positive design means the block signal stays meaningful — teams do not disable it after the first week of noise, which is what happens to checkers that flag on suspicion rather than confirmed mismatch. Apache-2.0 licensed and self-hosted, so the verification record never leaves your infrastructure — audit trails for compliance workflows stay under your control without a third-party dependency. Citation and commit record matching is built into dedicated modules, so agent-generated artifacts that cite sources or reference commits get cross-checked against actual logged activity, not just pattern-matched against formatting. Reactive hook architecture means Makoto adds a check layer without replacing the agent's planning or execution flow — you keep the Claude Code workflow intact and add the integrity gate on top.
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.	The integration is Claude Code-specific with no API and no documented hook layer for other agent frameworks — teams running GPT-4 function-calling pipelines, LangGraph, or any non-Claude stack hit a dead end at installation and move to a custom audit logging layer instead. Self-hosted operation means your team owns the ledger storage, schema migrations, and the dispatch infrastructure — the `db.py` and `schema.py` files indicate local persistence you must manage, which becomes a maintenance burden when the project updates its schema and your production ledger does not. With zero open issues and zero pull requests on a 37-star repo, community-sourced fixes for edge cases in citation or commit matching are not available — teams that hit a verification gap in production write the patch themselves or file it and wait.

Bottom line

AutoMaxFix and Makoto 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 Makoto?

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

Is AutoMaxFix better than Makoto?

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.