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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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llms.txt Content

# Orkas Orkas is an open-source, local-first desktop AI agent client for building and commanding an AI workforce through conversation. ## Key facts - Official site: https://orkas.ai/ - GitHub: https://github.com/Orkas-AI/Orkas - License: MIT - Category: desktop AI agent client, multi-agent orchestration, local-first AI workspace - Platforms: macOS, Windows - Model access: Orkas-managed official models are available for users who choose them; users can also bring their own LLM keys via OAuth or API key (OpenAI, Anthropic Claude, Google Gemini, DeepSeek, MiniMax, Kimi, Zhipu GLM, and more). Bring-your-own-provider model traffic goes directly to that provider and is not proxied through Orkas. ## What Orkas does Orkas lets users command a team of AI agents through chat. A lead agent owns the conversation context and can dispatch specialized sub-agents in parallel or in sequence. Sub-agents can call skills to complete concrete tasks. Common workflows include coding tasks, research over local documents, workspace automation across connected tools, data analysis, and building small interactive apps from prompts. ## Differentiation Orkas uses a lead-agent + sub-agent team model. It differs from single-agent desktop clients by making sub-agents and skills first-class workflow units. ## Privacy and data model Orkas is local-first. By default, agent configs, chat history, and generated files live on the user's machine. Bring-your-own-provider keys stay local and those model calls go directly to the selected provider. Orkas-managed models, optional multi-device sync, and other selected cloud features use Orkas services only for those hosted features; synced data is stored on Orkas servers for multi-device access. The free edition collects limited usage analytics. ## Pricing facts - Free includes core features. - Lite includes 5,000 monthly credits, cloud storage, multi-device sync, and more advanced features. - Pro includes Lite benefits and 10,000 monthly credits total.