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CommanderGPT

Slash-command interface to AI workflows with 200+ built-in commands, multi-model routing, context memory and shared playbooks

freemiumFree is $0 with no card required: 50 commands per month, the basic command library and a single model. Pro is $8/month with unlimited commands, the full library plus multi-model access, context memory and all integrations. Team is $24/month for 5 included seats with shared playbooks, an admin dashboard and priority support, and offers a team trial.View full pricing →

About CommanderGPT

CommanderGPT is a command-line-shaped interface to AI work: instead of composing a prompt each time, you invoke a slash command such as /summarize against a file or a task, and the product routes it to the appropriate model and returns a structured result. It ships more than two hundred built-in commands, so common operations are named and repeatable rather than re-improvised, and multi-model access on paid tiers means a command can be pointed at whichever model suits it rather than being locked to one provider. Context memory carries across commands so a sequence of operations can build on itself, and integrations connect the commands to other tools. Shared playbooks on the team tier are the collaborative version of the same idea: a workflow one person refines becomes a command the rest of the team can run, which is the difference between a prompt library and an operating tool. The free tier allows fifty commands a month against a single model with the basic library, which is enough to establish whether the command model fits how someone works. The vendor publishes usage figures on the homepage — over 18,000 power users and 2.4 million commands executed — and lists a Seattle company address. The interface is available in nine languages.

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Key Features

Over 200 built-in slash commands for common AI operations
Multi-model routing on paid tiers instead of a single provider
Context memory carried across a sequence of commands
Shared playbooks and an admin dashboard on the team plan
Interface available in nine languages

Tags

ai-assistantworkflowsslash-commandsmulti-modelautomation
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