AI-factory vs Overplane

AI-factory 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.

AI-factory

The repo structures the AI coding workflow around specs, roles, skills, agents, and hooks — all defined in config, not scattered across prompt files. An adversarial review bench pits agents against each other before code reaches a human, and deterministic gates block merges when quality checks fail. This fits teams already running Claude Code or similar agents who want repeatable process rather than one-off prompt magic. The toolkit is early-stage — five commits, zero open issues — which means the primitives are present but the community-tested edge cases are not. Teams pushing beyond the documented patterns write their own skills and roles, which is supported by the model but undocumented territory.

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	AI-factory	Overplane
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Claude Code, codeoid	Linux, macOS, Windows (local binary)
Pros	Config-driven role and skill model, so the agent's capabilities and constraints are version-controlled alongside the codebase rather than living in someone's prompt history that disappears when they leave. Adversarial review bench routes AI-generated code through challenging agents before it reaches a human reviewer, so you catch architectural violations and regressions before they land in the PR queue. Deterministic quality gates enforced at merge time, so AI-generated code that passes vibe checks but fails structural constraints gets blocked at the pipeline rather than discovered in production. Fully open-source and self-hosted with no paid tier, so there is no usage ceiling or vendor dependency to negotiate around when you scale the number of agents or projects running through the pipeline. Spec-driven pipeline from issue to PR, so the agent operates against an explicit contract rather than inferring intent from a ticket — which reduces the class of hallucinated features that looked reasonable to the model but weren't in scope.	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	The repository has five commits and an empty issue tracker at the time of curation. There is no community corpus of solved problems to draw from, which means the first team to hit a non-obvious failure in their pipeline is also the team writing the fix — with no prior art to reference. The toolkit is explicitly coupled to Claude Code in its documentation. Teams running a different coding agent adapt the AGENTS.md and workspace config themselves; the effort is unbounded until they have tested every skill and hook their pipeline touches. Complex SDLC branching — multiple parallel feature tracks, conditional merge strategies, cross-repo orchestration — is not covered in the documented patterns. Teams that need this add a custom skill layer, at which point they are maintaining the toolkit and an extension system simultaneously. This is the condition under which teams building non-trivial multi-repo pipelines move to a more established CI/CD orchestration layer and treat ai-factory's gate model as an idea to port rather than a system to adopt.	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

AI-factory 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 AI-factory and Overplane?

AI-factory 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 AI-factory 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.