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Freemium

Orkas

Open-source, local-first desktop AI workforce where Commander plans tasks and coordinates specialist agents through one chat.

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Freemium
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30
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ThisTool

About Orkas

Orkas is an open-source, local-first desktop AI workforce. A Commander turns goals into executable plans and coordinates specialist agents in parallel or sequence through one chat. The workspace is intended for people whose tasks involve several kinds of work, such as research, coding, data analysis, documents, slides, and video. Instead of treating each request as an isolated answer, the Commander provides a way to organize specialist work around a shared goal. Users describe the outcome they want and work with the AI team through the conversation, using the files and tools they authorize for that task. For example, an illustrative research workflow could begin with a question and supporting material, move through analysis, and end with a draft document or slide presentation for the user to review. A coding task can involve research, implementation, and an explanation of the result. These examples describe possible uses of the workspace; they are not claims about guaranteed results, measured time savings, or work completed without review. Users should check generated material before relying on it or publishing it. Local-first operation keeps chats, files, project history, and knowledge material on the user's device by default. This does not mean every operation is offline or that no information ever leaves the computer. Model calls and explicitly enabled external services have their own data paths. Users can choose managed official models or connect their own supported model provider; calls to a user-selected provider go directly to that provider. Orkas is a desktop application, with specialist agents coordinated inside the workspace. Its open-source code gives users a way to inspect the implementation. The product's focus is coordinating complex work through a conversation while retaining local project context, rather than requiring users to build an agent framework themselves. The core application is free. Model usage and optional services may cost extra, so users should consider their chosen provider and any enabled services when estimating costs. The official website provides current product information and access to the application.
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