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What is nono?

nono is an innovative open-source sandbox designed to provide a fortified environment for AI coding agents and LLM functions through kernel enforcement. Unlike conventional policy-based guardrails that simply supervise and filter actions, nono effectively utilizes operating system security features—specifically Landlock on Linux and Seatbelt on macOS—to render any unauthorized operations impossible at the syscall level. With a single command, users can encapsulate any AI agent, such as Claude Code, OpenCode, OpenClaw, or any command-line interface process, ensuring a streamlined experience. The system automatically implements a default-deny policy for filesystem access, limits dangerous commands (like rm, dd, chmod, and sudo), isolates sensitive credentials and API keys, and extends these restrictions to all child processes, effectively preventing any possibility of evasion once the constraints are established. Featuring built-in profiles for quick deployment, it allows for secure injection of secrets from the system keystore, including automatic zeroization upon exit for added safety. Future upgrades are on the horizon, including audit logging, atomic rollbacks, and Sigstore-attested policy signing, which will enhance tracking and security capabilities. Operating under the Apache 2.0 license, nono is developed by the same creator behind Sigstore, underscoring its trustworthiness and effectiveness in securing AI workloads while continually evolving to meet future security needs. Moreover, its commitment to open-source principles ensures that it remains adaptable and transparent for users seeking robust AI development solutions.

What is AgentScan?

AgentScan is a complimentary and deterministic security assessment tool specifically created to analyze the capabilities of AI agents. It thoroughly examines a skill directory that encompasses platforms such as Claude Code, Codex, OpenCode, and MCP servers, searching for a range of vulnerabilities including prompt injection, hidden secrets, network activity, malware signatures, and obfuscation techniques before any installation occurs. Each detected issue comes with precise file:line references and a corresponding confidence score to aid in evaluation. The utility functions completely offline, meaning it does not execute the skill or transmit any data, ensuring enhanced privacy. As a free and open-source tool licensed under the MIT license, AgentScan also includes the Trust Pack feature, allowing users to integrate 90 pre-audited skills with a simple command, thus streamlining the process of bolstering security measures. This thoughtful design not only promotes efficiency but also empowers users to maintain a robust security posture in their AI deployments.

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Integrations Supported

Claude Code
OpenAI Codex
OpenCode
OpenClaw

Integrations Supported

Claude Code
OpenAI Codex
OpenCode
Model Context Protocol (MCP)

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$59/year
Free Version

Supported Platforms

Mac
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Always Further

Date Founded

2025

Company Location

United Kingdom

Company Website

alwaysfurther.ai/

Company Facts

Organization Name

AgentScan

Date Founded

2026

Company Website

agentscan.baldbee.me/

Categories and Features

Agentic Cybersecurity

Not specified

AI Security

Not specified

Categories and Features

Agentic AI

Not specified

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