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Welcome to the official documentation of R-AI-OS: The AI OS Kernel. R-AI-OS is designed as a high-performance orchestration layer for autonomous agents, focusing on security, context efficiency, and asynchronous workflows.
Explore the technical depths of the system through the chapters below:
Learn about the Daemon-Centric design, the client/server split between aiosd and raios, and the Aura Hardened IPC protocol that ensures high-performance connectivity.
Understand how we enforce safety in an autonomous world. This chapter covers AgentShield, command interception, secret leak protection, and zero-trust authentication.
Dive into the brain of R-AI-OS. Discover how the Cortex Engine combines Vector Search (HNSW) with BM25, and how Sigmap reduces token costs by up to 97%.
See how R-AI-OS maintains a non-blocking UI. Learn about the Diff Inbox Pattern, the approval workflow, and the semantic routing of tasks between specialists.
A comprehensive guide to setting up R-AI-OS, from Rust toolchain prerequisites to the bootstrap command and security token configuration.
A comprehensive guide to the raios CLI, including core commands, examples, and advanced flags.
Guidelines for contributors, including the "Anayasa" (Constitution), agent compliance, memory formats, and PR rules.
If you haven't installed R-AI-OS yet, please refer to the Quick Start section in the README.
"R-AI-OS is the bridge between human creativity and autonomous execution." 🦾🛡️⚔️