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Alternatives

Products that do what Greywall does

Local agent sandbox with real-time network control dashboard

  1. 1

    Deploy your AI Agents in 60 seconds

    Mar 2026 · huddle01.com

  2. 2ST

    I've been working on CloudRouter, a skill + CLI that gives coding agents like Claude Code and Codex the ability to start cloud VMs and GPUs. When an agent writes code, it usually needs to start a dev server, run tests, open a browser to verify its work. Today that all happens on your local machine. This works fine for a single task, but the agent is sharing your computer: your ports, RAM, screen. If you run multiple agents in parallel, it gets a bit chaotic. Docker helps with isolation, but it still uses your machine's resources, and doesn't give the agent a browser, a desktop, or a GPU to…

    Feb 2026 · cloudrouter.dev

  3. 3
    Coasty96

    Computer Using Agents on Secure Cloud VMs That Run Forever

    Feb 2026 · coasty.ai

  4. 4
    Mngr153

    Run 100s of Claude agents in parallel

    Apr 2026 · github.com

  5. 5FS

    Hi HN! Fence wraps any command in a sandbox that blocks network by default and restricts filesystem writes. Useful for running semi-trusted code (package installs, build scripts, unfamiliar repos) with controlled side effects, or even just blocking tools that phone home. > fence curl https://example.com # -> blocked > fence -t code -- npm install # -> template with registries allowed > fence -m -- npm install # -> monitor mode: see what gets blocked One use-case is to use it with AI coding agents to reduce the risk of running agents with fewer interactive permission prompts: >…

    Jan 2026 · github.com

  6. 6

    The fastest workflow for developing with AI

    27d ago · agent-manager.dev

  7. 7
    AGNT.Hub120

    Build always-on AI agents without managing servers

    Jun 2026 · platform.agnthub.ai

  8. 8

    A Runtime security layer that lets AI agents execute safely

    Jul 2026 · runwall.vercel.app

  9. 9CE

    We just open-sourced CargoWall - a lightweight eBPF firewall for GitHub Actions. We originally built it to stop LLM agents from connecting to untrusted domains. After recent GitHub Actions supply chain compromises like the Trivy attack, we realized it'd work well for blocking untrusted connections from CI runners too. It uses iptables DNAT to redirect all outbound port 53 traffic to a local DNS proxy, which checks each query against a hostname allowlist before forwarding. Resolved IPs from allowed responses are inserted into eBPF LPM trie maps, and a TC egress classifier attached to the…

    Mar 2026 · github.com

  10. 10LP

    OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection…

    Dec 2025 · github.com

  11. 11

    Your agent's personal remote computer and drive

    Feb 2026

  12. 12RT

    This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…

    Apr 2026 · github.com

  13. 13

    Security firewall for AI agents. Cloudflare for MCP.

    Feb 2026 · agent-wall.github.io

  14. 14

    The stealth browser engine for scrapers and AI agents

    Jul 2026 · github.com

  15. 15RA

    Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

    2025 · okteto.com

  16. 16PY

    Hello HN, my name is Varun, and I am the co-founder of StepSecurity. Here is the backstory about Harden-Runner. We thoroughly researched past software supply chain security incidents. The devastating breaches of SolarWinds, Codecov, and others, have one thing in common – they attacked the CI/ CD pipeline or the build server. These incidents made it clear that a purpose-built security agent was needed for CI/ CD. While there are numerous agents available for desktops and servers, such as from CrowdStrike and Lacework, none have been tailored specifically to address the unique risks…

    2023 · github.com

  17. 17IB

    The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to something new, I was poking more holes in it - and it didn't differentiate between HTTP verbs. I've been…

    Jul 2026 · trollbridge.dev

  18. 18IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

  19. 19
    Clam11

    A secure OpenClaw AI sidekick with a fully customizable UI

    Mar 2026

  20. 20LC

    Hey HN, wanted to share this cli and skill I built @ Steel (I'm the founder) I was trying to set up openclaw on railway and quickly bumped up against issues with a lack of browser access, a core component of the system. Agents like OpenClaw and CC are super good at using browsers but, similar to code sandboxes, they should be able to control these browser in the background, in parallel, without getting blocked by captchas. So I reworked agent-browser, the most popular cli for browser agents, to navigate Steel cloud browser sessions to they can run at scale and unhindered. It's a relatively…

    Mar 2026 · twitter.com

  21. 21

    100% stable headless browser kit for AI Agents(Linux, macOS)

    Jun 2026 · github.com

  22. 22

    Coordinated research agents. Running on your Claude.

    Jul 2026 · coryant.xyz

  23. 23

    The firewall for AI agents. Block dangerous commands

    Dec 2025

  24. 24

    Runtime firewall for AI coding agents.

    8d ago · contextfence.dev

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