agentOS

agentOS is a virtual operating system for agents delivered as a library. It runs inside an existing backend and provides execution, filesystem, orchestration, and app deployment capabilities for agent workloads.

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What agentOS is

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.

Core capabilities

Multi-language execution

Run the language or tool each task needs inside the agent OS, including Node.js, Python, Bash, and registry software.

Filesystem and storage mounts

Give each agent a persistent POSIX-style filesystem and mount S3, Google Drive, host directories, or a sandbox as normal paths.

Orchestration primitives

Compose loops, multiplayer, agent-to-agent workflows, recurring jobs, and human-in-the-loop processes in application code.

Agent app deployment

Deploy user-generated applications with REST APIs, frontends, SQLite state, queues, cron jobs, workflows, and multiplayer state.

Scoped host bindings

Expose typed backend functions and bind trusted host capabilities without handing agents raw secrets.

Lightweight runtime architecture

Use a compact runtime based on WebAssembly and V8 isolates, designed to run in-process on standard Linux infrastructure.

Practical use cases

Agent task execution inside your backend
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.
Persistent file and storage workflows
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.
Durable agent orchestration
Use orchestration primitives to build multi-step workflows, recurring jobs, loops, multiplayer coordination, and human review steps in application code.
Generated app delivery
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.
Composite agent toolchains
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.

Pros and Cons

Pros

Runs inside an existing backend process, avoiding separate sandbox, VM, or SaaS layers for the core library.
Supports execution, filesystems, orchestration, and apps in one system instead of separate services.
Documents persistent POSIX filesystems with mounts for S3, Google Drive, host directories, and sandbox paths.
Provides a compact runtime based on V8 isolates and WebAssembly, with support for Linux-like process and networking semantics.
Includes benchmark material and methodology for cold starts, memory footprint, and cost comparisons.

Cons

agentOS Apps is still in preview, and its API may change.
The site emphasizes Linux-compatible infrastructure and in-process execution, so teams needing a hosted managed platform may need to assemble more of the deployment stack themselves.

FAQ

What is agentOS?

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.

What kinds of workloads does agentOS support?

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.

Does agentOS require a separate sandbox or VM service?

No. The site describes agentOS as running in your existing backend process, with no sandboxes, VMs, or SaaS required for the core library.

Is agentOS Apps production-stable?

The apps documentation says agentOS Apps is in preview and its API is subject to change.

How do you install agentOS?

The docs show installation through npm, with packages such as @rivet-dev/agentos and @rivet-dev/agentos-apps.

Quick Facts

Category: Developer Tool
Product type: Virtual operating system for agents
Primary users: Teams building AI agents and generated applications
Platform: Node.js backend / Linux infrastructure
Package install: npm install @rivet-dev/agentos
Website: agentos-sdk.dev

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