<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sandboxing on Noureddine RAMDI</title><link>https://ramdi.fr/tags/sandboxing/</link><description>Recent content in Sandboxing on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/sandboxing/index.xml" rel="self" type="application/rss+xml"/><item><title>Claw-Eval: a rigorous Python harness for trustworthy evaluation of LLM-powered autonomous agents</title><link>https://ramdi.fr/github-stars/claw-eval-a-rigorous-python-harness-for-trustworthy-evaluation-of-llm-powered-autonomous-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/claw-eval-a-rigorous-python-harness-for-trustworthy-evaluation-of-llm-powered-autonomous-agents/</guid><description>Claw-Eval offers a Python-based evaluation harness for LLM autonomous agents, featuring 300 tasks and a strict Pass^3 metric to ensure reliable, multi-dimensional benchmarking.</description></item><item><title>Neon Vision Editor: A Minimalist Native Swift Editor with Sandbox-Friendly CLI Integration</title><link>https://ramdi.fr/github-stars/neon-vision-editor-a-minimalist-native-swift-editor-with-sandbox-friendly-cli-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/neon-vision-editor-a-minimalist-native-swift-editor-with-sandbox-friendly-cli-integration/</guid><description>Neon Vision Editor is a native Swift code editor for macOS/iOS/iPadOS that balances minimalism with sandbox compliance via a unique CLI helper using macOS Launch Services.</description></item><item><title>OpenShell: Securing AI agents with runtime-policy sandboxing from NVIDIA</title><link>https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/</link><pubDate>Mon, 18 May 2026 18:25:17 +0000</pubDate><guid>https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/</guid><description>OpenShell by NVIDIA offers a Rust-based AI agent sandbox runtime with hot-reloadable YAML policies for filesystem, network, process, and inference controls inside containers.</description></item><item><title>Open Cowork: Desktop AI Agent with VM-level Sandbox Isolation for Safer AI Workflows</title><link>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</guid><description>Open Cowork wraps multiple LLMs in a cross-platform desktop app with unique VM-level sandboxing using WSL2 and Lima for safe AI agent command execution.</description></item><item><title>awesome-sandbox: comparing modern sandboxing tech for AI agent execution</title><link>https://ramdi.fr/github-stars/awesome-sandbox-comparing-modern-sandboxing-tech-for-ai-agent-execution/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-sandbox-comparing-modern-sandboxing-tech-for-ai-agent-execution/</guid><description>A curated repo comparing sandboxing technologies for secure, fast AI agent execution. Covers microVMs, containers, WebAssembly, and more with tradeoffs on security vs speed.</description></item><item><title>Naersk: reproducible, IFD-free Rust builds with Nix</title><link>https://ramdi.fr/github-stars/naersk-reproducible-ifd-free-rust-builds-with-nix/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/naersk-reproducible-ifd-free-rust-builds-with-nix/</guid><description>Naersk is a Nix library enabling reproducible Rust builds free of Impure Function Dependencies. It parses Cargo.lock and manages dependencies purely in Nix, ideal for CI/CD and Hydra.</description></item><item><title>DeerFlow 2.0: orchestrating multi-agent AI workflows with flexible LLM integration</title><link>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</guid><description>DeerFlow 2.0 is a Python framework for orchestrating AI sub-agents and memory with support for multiple LLMs and execution sandboxes. It uses a modular config and setup wizard for flexible deployment.</description></item></channel></rss>