Sandbox for AI Agents
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and has been in the index since 16 Jun 2026. How this is checked
Sandbox for AI Agents, also known as nono, is a tool designed to provide kernel-level isolation and policy-governed runtime environments for AI agents. It addresses the security and auditability needs of running AI agents by offering operating system-level sandboxing for Linux, macOS, and Windows. js, and Go-based AI agents, as well as any terminal agent, without requiring code rewrites or wrappers.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running AI agents securely with kernel-level isolation and tamper-evident audit trails.
Inferred · not functionally tested
Audience: AI engineers and developers
Inferred · not functionally tested
Functions: agents, monitoring
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, macos, windows, linux, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: nono.sh · github.com. These links do not verify the individual claims.
In the AI & LLM security space, Sandbox for AI Agents takes a focused approach. Inferred · not functionally tested: It focuses on running AI agents securely with kernel-level isolation and tamper-evident audit trails. Inferred · not functionally tested: It is built as an open-source project for AI engineers and developers. Basis unknown · not verified: Sandbox for AI Agents is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line, macOS, Windows, and Linux, and it can be self-hosted.
Behind Sandbox for AI Agents is Sigstore team, and it first shipped in 2026. The project is developed in the open on GitHub with 2.7k stars and 1.1k commits in the last 90 days. Inferred · not functionally tested: Key capabilities include kernel isolation, audit trail, and network filtering.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Kernel isolation
- Audit trail
- Network filtering
- Atomic rollback
- Credential injection
- Session management
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Sandbox for AI Agents
- What is Sandbox for AI Agents?
- Inferred · not functionally tested: Sandbox for AI Agents focuses on running AI agents securely with kernel-level isolation and tamper-evident audit trails. It is catalogued under AI & LLM security on PulseGate.
- Who should use Sandbox for AI Agents?
- Inferred · not functionally tested: Sandbox for AI Agents is an open-source project built for AI engineers and developers.
- Does Sandbox for AI Agents have a free plan?
- Basis unknown · not verified: Yes — Sandbox for AI Agents is open source under the Apache-2.0 license and free to use.
- What platforms does Sandbox for AI Agents run on?
- Basis unknown · not verified: Sandbox for AI Agents runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
- Is Sandbox for AI Agents still maintained?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 1.1k commits in the last 90 days.
- Who makes Sandbox for AI Agents?
- Sandbox for AI Agents is developed by Sigstore team.
- How long has Sandbox for AI Agents been around?
- Sandbox for AI Agents first shipped in 2026.
- Is Sandbox for AI Agents open source?
- Basis unknown · not verified: Yes — Sandbox for AI Agents is open source under the Apache-2.0 license, developed on GitHub.
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