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, ArchitectureCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.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-piagentOS 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.
agentOS is a lightweight, portable operating system designed for AI agents, offering near-zero cold starts and granular security.
agent-os's core features include: Multi-agent support, Granular security, Embeds in backend, Deployable anywhere.
agentOS is gaining attention due to its fast and cost-effective agent deployment, minimal overhead, and seamless integration with existing backend systems.
agentOS is suitable for scenarios where lightweight, secure, and efficient AI agent deployment is required, such as in backend systems, cloud services, and containerized environments.