SaaS Metrics
I'm excited to introduce Zerobox, a cross-platform, single binary process sandboxing CLI written in Rust. It uses the sandboxing crates from the OpenAI Codex repo and adds additional functionalities like secret injection, SDK, etc.Watch the demo: https://www.youtube.com/watch?v=wZiPm9BOPCgZerobox follows the same sandboxing policy as Deno which is deny by default. The only operation that the command can run is reading files, all writes and network I/O are blocked by default. No VMs, no Docker, no remote servers.Want to block reads to /etc? zerobox --deny-read=/etc -- cat /etc/passwd
cat: /etc/passwd: Operation not permitted
How it works:Zerobox wraps any commands/programs, runs an MITM proxy and uses the native sandboxing solutions on each operating system (e.g BubbleWrap on Linux) to run the given process in a sandbox. The MITM proxy has two jobs: blocking network calls and injecting credentials at the network level.Think of it this way, I want to inject "Bearer OPENAI_API_KEY" but I don't want my sandboxed command to know about it, Zerobox does that by replacing "OPENAI_API_KEY" with a placeholder, then replaces it when the actual outbound network call is made, see this example: zerobox --secret OPENAI_API_KEY=$OPENAI_API_KEY --secret-host OPENAI_API_KEY=api.openai.com -- bun agent.ts
Zerobox is different than other sandboxing solutions in the sense that it would allow you to easily sandbox any commands locally and it works the same on all platforms. I've been exploring different sandboxing solutions, including Firecracker VMs locally, and this is the closest I was able to get when it comes to sandboxing commands locally.The next thing I'm exploring is `zerobox claude` or `zerobox openclaw` which would wrap the entire agent and preload the correct policy profiles.I'd love to hear your feedback, especially if you are running AI Agents (e.g. OpenClaw), MCPs, AI Tools locally.
Show HN: Zerobox – Sandbox any command with file, network, credential controls
A simpler, local, cross-platform alternative to VMs or Docker for sandboxing any command, specifically highlighted for AI Agents (e.g., OpenClaw) by preloading policy profiles and securely injecting credentials.
View Origin LinkProduct Positioning & Context
AI Executive Synthesis
A simpler, local, cross-platform alternative to VMs or Docker for sandboxing any command, specifically highlighted for AI Agents (e.g., OpenClaw) by preloading policy profiles and securely injecting credentials.
Zerobox directly addresses a critical security and operational challenge for developers: securely executing untrusted code locally. Its cross-platform, single-binary CLI simplifies sandboxing, offering a lightweight alternative to complex VM or container solutions for rapid development and testing. The integrated MITM proxy for network-level credential injection is a significant differentiator, solving the pain point of securely managing API keys without exposing them to the sandboxed process. This capability is paramount for the burgeoning AI agent ecosystem, where sensitive access tokens are frequently required. Zerobox positions itself as an essential tool for local AI agent security, streamlining secure execution and mitigating supply chain risks inherent in running third-party or experimental code. Its deny-by-default policy and native OS integration offer a robust, accessible solution for a growing developer need, particularly as local AI development accelerates.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Zerobox – Sandbox any command with file, network, credential controls?
Zerobox – Sandbox any command with file, network, credential controls is analyzed by our AI as: A simpler, local, cross-platform alternative to VMs or Docker for sandboxing any command, specifically highlighted for AI Agents (e.g., OpenClaw) by preloading policy profiles and securely injecting credentials.. It focuses on Zerobox directly addresses a critical security and operational challenge for developers: securely executing untrusted code locally. Its cross-platf...
Where did Zerobox – Sandbox any command with file, network, credential controls originate?
Data for Zerobox – Sandbox any command with file, network, credential controls was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Zerobox – Sandbox any command with file, network, credential controls publicly launched?
The initial public indexing or launch date for Zerobox – Sandbox any command with file, network, credential controls within our tracked developer communities was recorded on April 1, 2026.
How popular is Zerobox – Sandbox any command with file, network, credential controls?
Zerobox – Sandbox any command with file, network, credential controls has achieved measurable traction, logging over 52 traction score and facilitating 55 recorded discussions or engagements.
Which technical categories define Zerobox – Sandbox any command with file, network, credential controls?
Based on metadata extraction, Zerobox – Sandbox any command with file, network, credential controls is categorized under topics such as: Sandbox, CLI, Rust, cross-platform.
What are some commercial alternatives to Zerobox – Sandbox any command with file, network, credential controls?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Databerry, which offers overlapping value propositions.
How does the creator describe Zerobox – Sandbox any command with file, network, credential controls?
The original author or development team describes the product as follows: "I'm excited to introduce Zerobox, a cross-platform, single binary process sandboxing CLI written in Rust. It uses the sandboxing crates from the OpenAI Codex repo and adds additional functionalitie..."
Community Voice & Feedback
Compare with and steal any ideas you like from mine if you like. I've got a semi-decent curl|bash pattern covered, and also add network filtering via pasta (which may be more robust than rolling your own). https://github.com/reubenfirmin/bubblewrap-tui
This is really useful! How well does it compare though to Docker etc.Because I am worried about sandbox escapes. This is what we currently use to sandbox JS inside Browsers and Node (without anything extra) : https://github.com/Qbix/Platform/blob/main/platform/plugins/...I like tools like this, but they all seem to share the same underlying shape: take an arbitrary process and try to restrict it with OS primitives + some policy layer (flags, proxies, etc).That works, but it also means correctness depends heavily on configuration, i.e. you’re starting with a lot of ambient authority and trying to subtract from it enforcement ends up split across multiple layers (kernel, wrapper, proxy)An alternative model is to flip it: Instead of sandboxing arbitrary programs, run workflows in an environment where there is no general network/filesystem access at all, and every external interaction has to go through explicit capabilities.In that setup, there’s nothing to "block" because the dangerous primitives aren’t exposed, execution can be deterministic/replayable, so you can actually audit behavior. Thus, secrets don’t enter the execution context, they’re only used at the boundaryIt feels closer to capability-based systems than traditional sandboxing. Curious how people here think about that tradeoff vs OS-level sandbox + proxy approaches.
I trust sandbox-exec more, or Docker on Linux. Those come from the OS, well tested and known.MITM proxy is nice idea to avoid leaking secrets. Isn’t it very brittle though? Anthropic changes some URL-s and it’ll break.
the credential injection via MITM proxy is the most interesting part to me. the standard approach for agents is environment variables, which means the agent process can read them directly. having the sandbox intercept network calls and swap in credentials at the proxy layer means the agent code has a placeholder and never sees the real value -- useful when running less-trusted agent code or third-party tools.the deny-by-default network policy also matters specifically for agent use: without it there is nothing stopping a tool call from exfiltrating context window contents to an arbitrary endpoint. most sandboxes focus on filesystem isolation and treat network as an afterthought.
Technical debt is not always bad. Deliberate technical debt taken on with eyes open to ship faster is a legitimate business strategy. The problem is accidental technical debt from poor decisions compounding silently.
This looks really good - the CLI interface design is solid, and I especially like the secrets / network proxy pattern - but the thing it needs most is copiously detailed documentation about exactly how the sandbox mechanism works - and how it was tested.There are dozens of projects like this emerging right now. They all share the same challenge: establishing credibility.I'm loathe to spend time evaluating them unless I've seen robust evidence that the architecture is well thought through and the tool has been extensively tested already.My ideal sandbox is one that's been used by hundreds of people in a high-stakes environment already. That's a tall order, but if I'm going to spend time evaluating one the next best thing is documentation that teaches me something about sandboxing and demonstrates to me how competent and thorough the process of building this one has been.UPDATE: On further inspection there's a lot that I like about this one. The CLI design is neat, it builds on a strong underlying library (the OpenAI Codex implementation) and the features it does add - mainly the network proxy being able to modify headers to inject secrets - are genuinely great ideas.
You should probably add a huge disclaimer that this is an untested, experimental project.Related, a direct comparison to other sandboxes and what you offer over those would be nice
Again, it’s blacklisting so kind of impossible to get right. I’ve looked at this many times, but in order for things to properly work, you have to create a huge, huge, huge, huge sandbox file.Especially for your application that you any kind of Apple framework.
Very interesting. I just started researching this topic yesterday to build something for adjacent use cases (sandboxing LLM authored programs). My initial prototype is using a wasm based sandbox, but I want something more robust and flexible.Some of my use cases are very latency sensitive. What sort of overhead are you seeing?
Personally I would probably always reach for a docker container if I want a sandboxed command that can run identically anywhere.I appreciate that alternate sandboxing tools can reduce some of the heavier parts of docker though (i.e. building or downloading the correct image)How would you compare this tool to say bubblewrap https://github.com/containers/
Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.