AutoMaxFix vs Overplane

AutoMaxFix and Overplane 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.

Overplane

Overplane is a free, open-source CLI binary that wraps Claude Code, Codex, or OpenCode in container isolation, spec-driven builds, and Z3 formal verification before a single line of code is written. Every agent run executes in a locked-down container with a restricted view of the host system, so a bad outcome means deleting a sandbox, not restoring a backup. Builds are content-hashed and content-addressable, which means you can replay any build down to a single spec and see the normalized dollar cost attached to that run. The ceiling appears early in teams who need the tool to also do its own code generation — Overplane is a build wrapper around agents you already own, not a coding agent itself.

Attribute	AutoMaxFix	Overplane
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+)	Linux, macOS, Windows (local binary)
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.	Every agent run executes in a locked-down container with a restricted view of the host system, so a compromised or misbehaving agent destroys a sandbox rather than your local environment or production credentials. Z3 runs on per-spec and merged Intermediate Representation models before any code is generated, which means logical contradictions in your spec surface as a pre-build error rather than a 4,000-line diff you have to reverse-engineer. Content-hashed images and content-addressable outputs make builds cacheable and replayable down to a single spec, so audit requests or incident investigations do not require reconstructing what the agent did from memory. Agent-agnostic design with per-project or per-run agent selection and normalized cost tracking across runs, which means you can benchmark Claude Code against Codex on the same spec without re-architecting anything. Apache-2.0 licensed with no hosted offering and no subscription, which means the tool introduces no vendor lock-in and no data leaving your infrastructure beyond what the agent API calls require.
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.	Overplane does not include a coding agent — it drives Claude Code, Codex, or OpenCode, which means a team that does not already have those agents installed and API keys configured faces a multi-tool setup before a single build runs. Teams without an existing agent subscription hit this wall immediately and often reach for an integrated hosted tool instead. The tool is described as v0.0.8, which the vendor page does not present as production-stable. Teams evaluating it for a compliance-sensitive production pipeline face the specific problem of building internal policy around a binary that carries no stated stability guarantee — they document the version, pin it, and own the upgrade path. Formal spec verification with Z3 adds value only when specs are written to the schema Overplane expects. Teams migrating existing informal or prose-heavy spec documents spend the migration time rewriting specs before they see any verification benefit — the workflow does not adapt to how specs were written before.

Bottom line

AutoMaxFix and Overplane 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 Overplane?

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

Is AutoMaxFix better than Overplane?

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.