Your agent CLI died at launch.
Here is exactly why.
An agent CLI that fails to start is the most demoralizing failure in AI coding: no output, no stack trace, sometimes just a prompt that comes back. CLI Doctor catches that moment, reads what actually happened, and answers the only question that matters: what broke, and what do I do now.
It knows the exact command AgentsRoom ran, which flag came from which setting, and what the CLI printed before it gave up. That is the context a search engine result never has.
A failed launch, the real error, and a diagnosis that names the setting responsible.
Agent CLIs move fast. A flag gets removed in a minor release, a binary disappears from your PATH after a Node upgrade, a login expires, a sandbox refuses to start, a config file written for another tool gets picked up. The result is always the same on your side: you send a prompt and nothing happens.
The hard part is never the fix. It is knowing which of the twenty things in the launch command is the one that broke, and whether it came from the app, from your provider settings, from an override you set on that one agent three weeks ago, or from the CLI itself changing under you.
CLI Doctor closes that gap. It keeps a record of the exact command that was launched, tags every single flag with the setting that injected it, captures what the CLI printed, and turns all of it into a short diagnosis with concrete steps. Deterministic checks always run first and keep priority: the AI only speaks when the app cannot answer on its own.
What you get instead of a blank terminal
A plain-language summary of what failed, not a stack trace to decode. One or two sentences that name the actual cause.
Concrete next steps, ordered. Each one can carry a shortcut to the exact settings panel, the reinstall command or a relaunch, so you are never left hunting for where the option lives.
Flag provenance: every token of the launch command is attributed to its origin, so the answer can say "this flag comes from Autonomous mode in Settings" instead of guessing.
The same treatment for dev commands. When your build, test or server command fails in a terminal, the diagnosis is one click away, and you can hand the whole thing to a DevOps agent from there.
How a diagnosis happens
Layered on purpose: the cheap, certain checks run first, the AI is the last resort.
AgentsRoom records the real launch
At the single moment a terminal is spawned, the full command is recorded: binary, flags, model, options. That record is what makes an accurate diagnosis possible later, and it covers every path an agent can start from, including a launch triggered from your phone or from a backlog ticket.
Deterministic checks get first say
A missing binary, a flag the CLI no longer accepts, a session that is not logged in, an outdated version: these are known, certain verdicts. They are answered directly with a banner and a fix button. No AI call, no waiting.
A suspect launch is corroborated, not assumed
If the failure is not one of the known cases, AgentsRoom looks for an error pattern in the first seconds and then checks what is actually running in the terminal. A CLI that is simply slow to boot, or busy installing its MCP servers on first run, is not a failure and is discarded.
The redacted context is diagnosed
Only then does the AI step in, with the error excerpt, the sanitized command and the flag provenance map. System prompts, secret-looking values and long quoted arguments are redacted on your machine before anything is sent.
You get a summary and steps, and you decide
The diagnosis appears in the terminal. Nothing is ever executed for you: an action button opens the relevant settings, offers a relaunch or shows the install command, and you stay the one who presses it.
Where the answer comes from
CLI Doctor reads the same surfaces you configure. These are the three that produce most launch failures.
Launch flags come from provider defaults, autonomous mode, a model pin or a per-agent override. This is where the diagnosis usually sends you.
Learn moreBuild, test and server commands get the same diagnosis, on click rather than automatically, because a failing watch loop would otherwise ask forever.
Learn moreKnowing that an agent is thinking, done, waiting or dead is what tells AgentsRoom something went wrong in the first place.
Learn moreBuilt with the obvious limits
FAQ
Which agent CLIs does CLI Doctor cover?
All of them. The launch record is written at the single point where AgentsRoom spawns a terminal, so Claude Code, Codex CLI, GitHub Copilot CLI, Antigravity CLI, OpenCode, Aider, Grok Build, Mistral Vibe and Kimi Code are all covered, along with agents started from the mobile companion or from a backlog ticket.
Does it send my terminal output to a server?
It sends a redacted excerpt of the launch error, the sanitized launch command and the flag provenance map, and only when a diagnosis is actually produced. System prompts, secret-looking environment values and long quoted arguments are removed on your machine first. Your source code is never part of it, and the automatic diagnosis can be turned off entirely in Settings, under Privacy and data.
Will it run commands or change my settings by itself?
No. A step can carry a shortcut that opens the right settings panel, offers to relaunch the agent or displays the install command to copy. Executing anything is always your action.
What is flag provenance, concretely?
AgentsRoom assembles a launch command from several layers: the provider defaults, autonomous mode, the model you picked, a reasoning effort, a per-agent CLI override, and more. Flag provenance tags each token of the final command with the layer that put it there, so the diagnosis can point at the exact switch to flip instead of describing the flag in the abstract.
Does it fire on every error?
No, and that is deliberate. In an agent terminal it fires once per failed launch episode, and only when the failure is corroborated: a CLI that is merely slow to start, or busy installing its MCP servers on first run, is discarded rather than diagnosed. For dev command terminals the diagnosis is click-only, because a failing watch loop re-emits its error continuously.
Is it available on the free plan?
Yes, with a monthly allowance. Plus raises it and Pro is unlimited in practice. Deterministic verdicts, which cover the most common failures like a missing binary or a rejected flag, are not metered at all: they never call a model.
What happens with an agent running on a remote machine over SSH?
The foreground process on your side is the SSH client itself, so a remote CLI that dies looks healthy from here and the episode is skipped. That is a deliberate trade-off: a missed diagnosis is preferable to a confident wrong one. The deterministic checks still apply on the remote side of the connection.
How is it different from pasting the error into a chatbot?
A chatbot only sees the message you paste. CLI Doctor also has the exact command that was run, the provenance of every flag in it, the provider and model in use and the state of the process, without you assembling any of it. That context is what turns a generic answer into the name of the setting to change.
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