Bohay vs Command Code

Bohay and Command Code 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.

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.

Command Code

The agent runs in three modes — interactive CLI, headless with a prompt flag for scripted pipelines, and a background sandbox — so it fits scheduled jobs as well as live coding. Learned preferences compile into reusable skills automatically; no rules to write by hand. The team collaboration angle is real: one command pushes your taste profile, the whole team pulls it. Where the walls appear is less documented: open-model tool-calling support is a stated differentiator, but teams hitting complex multi-step agentic chains on open models will need to validate those claims against their specific stack before committing production workloads.

Attribute	Bohay	Command Code
Pricing	Free	Paid
Price	—	$1/mo
Free trial	No	No
Open source	Yes	No
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	Terminal, macOS (notch panel)	CLI via npm
Pros	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.	Continuous preference learning from accepts, rejects, and edits — so you stop re-correcting the same patterns every session and the agent converges on your actual coding style over time. Three distinct execution modes (interactive, headless, background sandbox), which means the same agent that assists during live coding can run unattended in a CI pipeline without a separate tool. Persistent `/memory` and custom `/agents` scoped to a project, so context you built yesterday is available tomorrow without pasting it back into the prompt. Team taste push/pull in a single command, so a lead's hard-won preference profile becomes the team's baseline instantly — replacing the undocumented tribal knowledge that causes style drift at scale. Vendor-stated open-model harness support, so teams running DeepSeek or MiniMax can access tool-calling capabilities those models lack natively, reducing lock-in to closed-model providers.
Cons	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.	The open-model tool-calling claim is the riskiest dependency: teams building multi-step agentic pipelines on open models have no published benchmark data to validate reliability under production load — only the vendor's stated architecture. Teams whose delivery timeline cannot absorb a harness failure mid-sprint will need to run their own stress tests before committing. The learning loop requires an accumulation period — early sessions before enough accept/reject signal has been gathered will produce generic output indistinguishable from any other agent, which means teams evaluating it on a one-day trial will not see the core differentiation. Complex branching agentic logic — tasks where the next step depends on what the previous step returned across four or more decision points — is not documented as a supported pattern. Teams with those requirements are more likely to move to an agent framework with explicit graph-based workflow control, at which point Command Code's taste layer becomes a side benefit rather than the primary system.

Bottom line

Bohay is free while Command Code is paid; Bohay is open source; only Command Code exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Bohay and Command Code?

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

Is Bohay better than Command Code?

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.