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Bot Commander
Free AI agent teams on your desktop
Give your Commander a request by voice or text. It coordinates 16 specialist agents for writing, research, design, marketing and everyday work, returning results for your review. Choose cloud AI or compatible local models through Ollama or LM Studio. Free for Windows, macOS and Linux, with an optional paid Team edition for shared business workspaces.
Hi Product Hunt, I’m Scot, the founder of BotCom Inc. and maker of Bot Commander.
I’m building BC because getting useful work finished often means jumping between separate AI chats, copying context and coordinating the pieces yourself. I wanted one place where you can give a request to your Commander and have it coordinate a team.
BC runs on your desktop and starts with 16 specialists for writing, research, design, marketing and more. You can customize agents and choose their models, including compatible local models through Ollama or LM Studio. Publishing workflows return work for your approval.
The 59-second demo shows one voice request becoming an illustrated social post. It’s an edited real workflow, with some steps shortened.
The desktop app is free for Windows, macOS and Linux. An optional paid Team edition adds shared business workspaces and role-based access.
I’d love for you to install it, try it on a task you actually need done, and tell me where it works well or needs more guidance. Local-model feedback across different hardware setups would also be particularly useful.
Thanks for giving it a try. I’ll be here to answer questions.
About Bot Commander on Product Hunt
“Free AI agent teams on your desktop”
Bot Commander was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #239 on the daily leaderboard. Give your Commander a request by voice or text. It coordinates 16 specialist agents for writing, research, design, marketing and everyday work, returning results for your review. Choose cloud AI or compatible local models through Ollama or LM Studio. Free for Windows, macOS and Linux, with an optional paid Team edition for shared business workspaces.
On the analytics side, Bot Commander competes within Productivity, Marketing and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Bot Commander performed against the three products that launched closest to it on the same day.
Who hunted Bot Commander?
Bot Commander was hunted by Scot Kinney. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Bot Commander including community comment highlights and product details, visit the product overview.
Scot Kinney
Hi Product Hunt, I’m Scot, the founder of BotCom Inc. and maker of Bot Commander.
I’m building BC because getting useful work finished often means jumping between separate AI chats, copying context and coordinating the pieces yourself. I wanted one place where you can give a request to your Commander and have it coordinate a team.
BC runs on your desktop and starts with 16 specialists for writing, research, design, marketing and more. You can customize agents and choose their models, including compatible local models through Ollama or LM Studio. Publishing workflows return work for your approval.
The 59-second demo shows one voice request becoming an illustrated social post. It’s an edited real workflow, with some steps shortened.
The desktop app is free for Windows, macOS and Linux. An optional paid Team edition adds shared business workspaces and role-based access.
I’d love for you to install it, try it on a task you actually need done, and tell me where it works well or needs more guidance. Local-model feedback across different hardware setups would also be particularly useful.
Thanks for giving it a try. I’ll be here to answer questions.