Showing 6 open source projects for "linux secure"

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  • 1
    CubeSandbox

    CubeSandbox

    Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents

    CubeSandbox is a lightweight, high-performance sandboxing environment designed to securely run AI agents and untrusted code in isolated containers. Built in Rust, it focuses on enabling concurrent execution while maintaining strong isolation and low overhead. The system is optimized for scenarios where multiple AI agents need to execute tasks in parallel without compromising system integrity. It provides fast startup times and efficient resource management, making it suitable for large-scale...
    Downloads: 24 This Week
    Last Update:
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  • 2
    Obscura

    Obscura

    The headless browser for AI agents and web scraping

    Obscura is a security-focused project aimed at providing tools and techniques for enhancing privacy, anonymity, and operational security in digital environments. It is designed for users who need to obscure their digital footprint and reduce traceability across systems. The project typically includes utilities for masking identity, managing secure communication, and mitigating surveillance risks. It emphasizes practical implementations of privacy-preserving workflows rather than purely...
    Downloads: 148 This Week
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  • 3
    GaiaNet

    GaiaNet

    Install and run your own AI agent service

    Gaia is building an active, intelligent ecosystem that supports applications that learn, improve and grow over time. Put your knowledge to work and watch it evolve by creating a node on Gaia or by contributing to a domain supporting an existing knowledge base. Gaia’s decentralized platform ensures robust protection for user data and IP. Gaia allows secure ownership and monetization of IP without compromising privacy. Gaia’s living knowledge organisms continuously adapt and grow in real-time,...
    Downloads: 33 This Week
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  • 4
    OpenShell

    OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI...
    Downloads: 26 This Week
    Last Update:
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  • 5
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    nono is an open-source, kernel-enforced capability shell designed to safely run AI agents and other untrusted processes under strict operating system controls. The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies...
    Downloads: 14 This Week
    Last Update:
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  • 6
    ZeroClaw

    ZeroClaw

    Fast, small, and fully autonomous AI assistant infrastructure

    ZeroClaw is a Rust-native autonomous AI agent framework engineered for teams and developers who need highly efficient, secure, and modular AI automation infrastructure that can run reliably in both production and self-hosted environments. It is designed around a trait-based architecture so that model providers, communication channels, memory systems, and tooling integrations can be swapped or extended without rewriting core components, giving engineers flexibility and long-term...
    Downloads: 16 This Week
    Last Update:
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