agentOS is a lightweight, portable operating system designed for AI agents, offering near-zero cold starts and granular security.
Source: README View on GitHub →agentOS is gaining attention due to its fast and cost-effective agent deployment, minimal overhead, and seamless integration with existing backend systems. Its unique use of WebAssembly and V8 isolates for security and performance stands out.
Source: README, BenchmarksagentOS supports multiple AI agents like Claude Code, Codex, and OpenCode, providing a unified API for their management and interaction.
Source: README, FeaturesIt offers deny-by-default permissions for filesystem, network, and process access, leveraging V8 isolates for security.
Source: README, FeaturesagentOS can be embedded within a backend, allowing direct function calls from agents without network hops or complex authentication.
Source: README, Why agentOSagentOS is deployable on various platforms including laptops, Rivet Cloud, Railway, Vercel, Kubernetes, and any container platform.
Source: README, Why agentOSagentOS is built on an in-process operating system kernel in JavaScript, with WebAssembly and V8 isolates for agent code execution. It manages a virtual filesystem, process table, and network stack within the kernel.
Source: README, Architectureinfra: npm package, various platforms including laptops, Rivet Cloud, Railway, Vercel, Kubernetes, and container platforms | key_deps: @rivet-dev/agent-os-core, @rivet-dev/agent-os-claude, @rivet-dev/agent-os-codex-agent, @rivet-dev/agent-os-common, @rivet-dev/agent-os-pi | language: Rust | framework: WebAssembly, V8 isolates
Source: Dependency files, Code treeagentOS is suitable for scenarios where lightweight, secure, and efficient AI agent deployment is required, such as in backend systems, cloud services, and containerized environments.
Source: README, Why agentOSv0.1.1 (2026-04-02): Added overlay fs and curl & git packages.
Source: GitHub ReleasesagentOS is a promising project for teams or individuals looking for a lightweight, secure, and efficient solution for deploying AI agents in various environments. Its unique architecture and features make it a strong candidate for modern backend systems and cloud services.