Multi-language execution
Run the language or tool each task needs inside the agent OS, including Node.js, Python, Bash, and registry software.
agentOS is a virtual operating system for agents, delivered as a library for backend execution, filesystem access, orchestration, and app deployment.
agentOS is a virtual operating system for agents delivered as a library. It gives each agent an isolated environment for execution, filesystem access, orchestration, and apps, while running inside the backend you already operate.
The product is aimed at teams building agents that need durable state, tool execution, and application generation without moving to separate sandbox infrastructure. Its documentation covers Node.js, Python, Bash, POSIX filesystems, actor-based orchestration, and deployment of AI-generated apps through the same runtime.
Run the language or tool each task needs inside the agent OS, including Node.js, Python, Bash, and registry software.
Give each agent a persistent POSIX-style filesystem and mount S3, Google Drive, host directories, or a sandbox as normal paths.
Compose loops, multiplayer, agent-to-agent workflows, recurring jobs, and human-in-the-loop processes in application code.
Deploy user-generated applications with REST APIs, frontends, SQLite state, queues, cron jobs, workflows, and multiplayer state.
Expose typed backend functions and bind trusted host capabilities without handing agents raw secrets.
Use a compact runtime based on WebAssembly and V8 isolates, designed to run in-process on standard Linux infrastructure.
Use agentOS when an agent needs to execute code in Node.js, Python, or Bash while sharing typed backend functions and controlled access to host capabilities.
Use the filesystem and mount system to give agents durable files, access to S3 or Google Drive, and familiar path-based tooling for storage-heavy workflows.
Use orchestration primitives to build multi-step workflows, recurring jobs, loops, multiplayer coordination, and human review steps in application code.
Use agentOS Apps to deploy AI-generated applications that expose REST APIs, frontends, SQLite state, queues, crons, and multiplayer state from the same app deployment.
Use the registry and execution model to combine agents, browser tools, and software packages when a workload needs more than one capability in a single runtime.
agentOS is a lightweight library that gives each agent an operating-system-like environment for execution, filesystems, orchestration, and apps. It is designed to run inside an existing backend rather than as separate sandboxes, VMs, or SaaS.
The source shows setup for Node.js, Python, and Bash execution, plus filesystem, orchestration, and app deployment workflows. The platform also documents its registry of software and filesystem mounts such as S3, Google Drive, and host directories.
No. The site describes agentOS as running in your existing backend process, with no sandboxes, VMs, or SaaS required for the core library.
The apps documentation says agentOS Apps is in preview and its API is subject to change.
The docs show installation through npm, with packages such as @rivet-dev/agentos and @rivet-dev/agentos-apps.
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