Files
OpenShell/docs/about/overview.mdx
Drew NewberryandPiotr Mlocek 73a181d32f docs: streamline README, add policy prover to architecture docs (#3718)
* docs(readme): streamline README and move reference detail to docs

Restructure the README as a short path from overview to quickstart to
further reading. Move prerelease install steps into the installation
guide and telemetry build flags into a new observability page. Fix
broken docs links and outdated runtime and credential descriptions.

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(readme): describe 0.1.0 as adding new isolation primitives

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(architecture): add policy prover as a gateway component

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs: describe OpenShell as a runtime for fleets of autonomous AI agents

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(architecture): describe policy prover as formal verification

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(architecture): name OpenShell Sandbox in component table

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(architecture): fold isolation backend into supervisor row

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(architecture): mention formal verification in overview

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(run-agent): use the published OpenCode image in the first-agent guide

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(inference): correct provider examples and readiness

Signed-off-by: Piotr Mlocek <pmlocek@nvidia.com>

* docs(providers): correct Google binding and provider selection

Signed-off-by: Piotr Mlocek <pmlocek@nvidia.com>

* docs(readme): sharpen value prop, how it works, and explore further

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(run-agent): use example Anthropic profile and add policy advisor step

Import the example Anthropic profile, which now allows OpenCode, instead
of editing it with sed. Add a step that shows how to review and approve
mechanistic policy proposals as the agent needs more access.

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* feat(providers): add OpenRouter example for OpenCode

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(run-agent): run OpenCode against OpenRouter with a free model

Add an example OpenRouter provider profile scoped to OpenCode and switch
the first-agent guide to it, using a free Nemotron model so readers do
not need OpenRouter credits. Revert the OpenCode binary added to the
example Anthropic profile.

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

* docs(readme): link first-agent guide and add agent skills section

Signed-off-by: Drew Newberry <anewberry@nvidia.com>

---------

Signed-off-by: Drew Newberry <anewberry@nvidia.com>
Signed-off-by: Piotr Mlocek <pmlocek@nvidia.com>
Co-authored-by: Piotr Mlocek <pmlocek@nvidia.com>
2026-09-25 13:53:45 -07:00

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---
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
title: "Overview of NVIDIA OpenShell"
sidebar-title: "Overview"
description: "OpenShell is the safe, private runtime for fleets of autonomous AI agents. Run agents in sandboxed environments that protect your data, credentials, and infrastructure."
keywords: "Generative AI, Cybersecurity, AI Agents, Sandboxing, Security, Privacy, Provider Credentials"
position: 1
---
NVIDIA OpenShell is an open-source runtime for executing fleets of autonomous AI agents in sandboxed environments with kernel-level isolation. It combines sandbox runtime controls and a declarative YAML policy so teams can run agents without giving them unrestricted access to local files, credentials, and external networks.
<Note>
New in OpenShell 0.1.0: a [stable release cadence](/about/support-matrix#releases), new [isolation primitives](/about/architecture), and an expanded [extension surface](/extensibility/overview), along with much more.
See our [upgrade guide](/upgrade/0-1-0) for everything that's changed.
</Note>
## Why OpenShell Exists
AI agents are most useful when they can read files, install packages, call APIs, and use credentials. That same access can create material risk. OpenShell is designed for this tradeoff: preserve agent capability while enforcing explicit controls over what the agent can access.
## Common Risks and Controls
The table below summarizes common failure modes and how OpenShell mitigates them.
| Threat | Without controls | With OpenShell |
|---|---|---|
| Data exfiltration | Agent uploads source code or internal files to unauthorized endpoints. | Network policies allow only approved destinations; other outbound traffic is denied. |
| Credential theft | Agent reads local secrets such as SSH keys or cloud credentials. | Filesystem restrictions (Landlock) confine access to declared paths only. |
| Unauthorized API usage | Agent sends prompts or data to unapproved model providers. | Provider profiles and network policies restrict model traffic to approved endpoints and binaries. |
| Privilege escalation | Agent attempts `sudo`, setuid paths, or dangerous syscall behavior. | Unprivileged process identity and seccomp restrictions block escalation paths. |
## Protection Layers at a Glance
OpenShell applies defense in depth across the following policy domains.
| Layer | What it protects | When it applies |
|---|---|---|
| Filesystem | Prevents reads/writes outside allowed paths. | Locked at sandbox creation. |
| Network | Blocks unauthorized outbound connections. | Hot-reloadable at runtime. |
| Process | Blocks privilege escalation and dangerous syscalls. | Locked at sandbox creation. |
| Provider credentials | Resolves opaque credential placeholders only at profile-authorized endpoints. | Attachments, rotation, and revocation update at runtime; new environment variables require a new process. |
For details, refer to [Sandbox Policies](/how-it-works/policies/overview) and [Default Policy](/how-it-works/policies/default-policy).
## Common Use Cases
OpenShell supports a range of agent deployment patterns.
| Use Case | Description |
|-----------------------------|----------------------------------------------------------------------------------------------------------|
| Secure coding agents | Run Claude Code, OpenCode, Codex, or GitHub Copilot CLI with constrained file and network access. |
| Private enterprise development | Grant selected sandboxes access to self-hosted or private model endpoints while keeping sensitive context under your control. |
| Compliance and audit | Treat policy YAML as version-controlled security controls that can be reviewed and audited. |
| Reusable environments | Use the default Ubuntu workload or bring your own containerized runtime. |
## Next Steps
Explore these topics to go deeper:
- To understand the runtime architecture, refer to [Architecture](/about/architecture).
- To prepare an image and launch an agent, refer to [Run Your First Agent](/about/run-your-first-agent).
- To learn how OpenShell enforces policy controls across protection layers, refer to [Sandbox Policies](/how-it-works/policies/overview).