GitHub - evertheylen/probox: Secure, isolated dev environments made easy
A lightweight Python tool for managing secure, project-specific development environments via rootless Podman containers.
Sandboxing
Techniques and tools for isolating software processes in constrained environments to limit their access to system resources, including container-based, namespace-based, and VM-based approaches.
Reading List
Tilde: Transactional Sandboxes for Safe AI Agents
205
Tilde makes autonomous AI agents production-ready by providing transactional sandboxes that allow any agent action to be audited, isolated, and rolled back.
Agent Vault: Secure Sandboxing and Secret Injection for AI Agents
135
Agent Vault is a secure execution environment for AI agents that prevents data leaks through network sandboxing and automated secret injection.
ClawRun: The Lifecycle and Hosting Layer for AI Agents
ClawRun is a comprehensive lifecycle and hosting platform for deploying, managing, and cost-tracking AI agents in secure sandboxes.
LangAlpha: The Persistent AI Agent for Financial Research
145
LangAlpha is a persistent, code-executing AI agent harness tailored for sophisticated financial research and investment analysis.
Freestyle: Scalable VM Infrastructure for AI Coding Agents
320
Freestyle provides fast, forkable, and cost-effective Linux VM sandboxes tailored for the needs of AI coding agents.
ChromaFs: Virtualizing Filesystems for High-Speed AI Agents
403
ChromaFs is a virtual filesystem that maps UNIX commands to vector database queries to provide fast, low-cost documentation exploration for AI agents.
Unredacted Disclosure: Critical Jailbreak and Sandbox Vulnerabilities in Claude 4.6 Models
A security researcher has publicly disclosed critical jailbreak and data exfiltration vulnerabilities in Anthropic's Claude models following the company's failure to respond to private reports.
Scaling API Integrations with Autonomous Coding Agents
Nango's experiment shows that autonomous agents can rapidly build API integrations if managed with strict verification and root-cause debugging to prevent AI 'cheating'.
jai: Effortless Filesystem Protection for AI Agents
633
jai is a lightweight Linux sandbox that protects your filesystem from accidental AI agent damage using simple command prefixes and copy-on-write overlays.
NanoClaw and OneCLI: Securing AI Agents via Credential Proxying
110
NanoClaw integrates OneCLI to secure AI agents by proxying credentials and enforcing safety policies so agents never hold raw API keys.
Automating ML Research: Claude Code vs. the eCLIP Optimization Loop
424
An LLM agent successfully automated the tedious aspects of ML research, such as hyperparameter tuning and bug fixing, but hit a ceiling when attempting complex architectural innovations.
OpenClaw: The Dangerous Magic of Autonomous AI
394
OpenClaw provides transformative automation but creates a 'Faustian bargain' where users trade their total digital security for the convenience of an autonomous AI assistant.
Snowflake Patches Critical Sandbox Escape and Malware Execution Flaw in Cortex AI
266
Snowflake Cortex Code CLI was vulnerable to a sandbox escape and human-in-the-loop bypass that allowed unauthorized malware execution via indirect prompt injection.
NemoClaw: NVIDIA's Secure Sandbox for OpenClaw Agents
382
NemoClaw is an open-source stack from NVIDIA that provides a secure, sandboxed environment and policy enforcement for OpenClaw autonomous agents.
NanoClaw and Docker: Hardened Isolation for AI Agent Teams
149
NanoClaw leverages Docker Sandboxes to create a multi-layered, secure runtime that isolates AI agents from each other and the host system.
Axe: Composable LLM Agents for the Command Line
211
Axe is a Unix-inspired CLI for running focused, composable, and tool-equipped LLM agents via TOML configurations.
Safehouse: Secure Kernel-Level Sandboxing for AI Agents
816
Safehouse provides kernel-enforced sandboxing on macOS to prevent local AI agents from accessing sensitive files or causing system damage.
Design for Distrust: Securing AI Agents via Container Isolation
344
Secure AI agent development requires a 'design for distrust' approach that uses container isolation and minimal code to contain potential damage.
Bubblewrap: A Practical Linux Sandbox for AI Coding Agents
119
Use bubblewrap to run AI coding agents with broad in-sandbox permissions but tightly scoped, project-only access on the host.
Deno Sandbox: Secure MicroVMs with Secret Shielding and Egress Control
533
Deno Sandbox securely runs and ships untrusted/LLM code by combining microVM isolation, secret shielding, and strict egress controls with one-click deployment to Deno Deploy.
OpenAI launches Codex macOS app: multi‑agent control, skills, and automations
805
OpenAI’s new macOS Codex app is a secure, multi‑agent command center with skills and automations that turns coding agents into end‑to‑end development partners.
Codex Security: Sandbox, Approvals, and Enterprise Controls
Secure-by-default agent: sandbox + approvals, controlled network/search, and enterprise-managed policies with optional privacy-conscious telemetry.
Run Moltbot on Cloudflare: Moltworker replaces the Mac mini with secure edge infrastructure
246
Moltworker shows how to run Moltbot as a secure, observable, and scalable cloud-hosted AI agent on Cloudflare’s platform—no Mac minis required.
ChatGPT’s New Bash-Capable Containers With Package Installs and Safe Web Downloads
451
ChatGPT quietly gained a powerful, bash-capable container that can install packages and download files—transformative, but barely documented.
Safely Unleash Claude Code with a Vagrant VM
351
Run Claude Code with full autonomy inside a Vagrant VM to protect your host while keeping a fast, reproducible workflow.
Stop Killing Sandboxes: Agents Need Durable Disposable Computers
508
Stop killing sandboxes—agents need instant, durable disposable computers, and Sprites deliver that model.
Claude Code on the Web: Secure Parallel Coding Tasks in Your Browser
578
Delegate and parallelize secure, cloud-run coding tasks from your browser (and iOS) with Claude Code on the web.
Designing Safe, Effective Agentic Loops for Coding Work
284
Safely empower coding agents to iterate autonomously by sandboxing YOLO mode, exposing simple shell tools, tightly scoping credentials, and relying on tests to guide trial-and-error.
Engineer AI for Failure: Contain Prompt Injection
115
Stop prompt-injection harm by engineering AI like machines: assume failure, isolate, constrain, and verify.
Claude Now Creates and Edits Spreadsheets, Docs, Slides, and PDFs
659
Claude now generates and edits real files across formats from your instructions, powered by a private compute environment and available in preview with safety caveats.
Standardizing the AI Orchestrator as a Model Virtual Machine
234
Treat the AI orchestrator as a secure, standardized virtual machine so models can safely and portably use tools and data under strict governance.