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Alternatives

Products that do what SmolVM – open-source sandbox for coding and computer-use agents does

SmolVM is an open-source local sandbox for AI agents on macOS and Linux. I started building it because agent workflows need more than isolated code execution. They need a reusable environment: write files in one step, come back later, snapshot state, pause/resume, and increasingly interact with browsers or full desktop environments. Right now SmolVM is a Python SDK and CLI focused on local developer experience. Current features include: - local sandbox environments - macOS and Linux support - snapshotting - pause/resume - persistent environments across turns Install: ``` curl -sSL…

  1. 1IM

    I've been running Pi using SmolVM to build SmolVM! SmolVM provides an abstraction over microVMs to easily create sandboxes for coding agents, OpenClaw, or just to build a custom harness. To use it, install using: curl -sSL https://celesto.ai/install.sh | bash and then run: smolvm pi start

    May 2026 · github.com

  2. 2SM
  3. 3
    SmolVLA139

    Powerful robotics VLA that runs on consumer hardware

    2025

  4. 4SM

    I wanted to see how fast an isolated code sandbox could start if I never had to boot a fresh VM. So instead of launching a new microVM per execution, I boot Firecracker once with Python and numpy already loaded, then snapshot the full VM state. Every execution after that creates a new KVM VM backed by a `MAP_PRIVATE` mapping of the snapshot memory, so Linux gives me copy-on-write pages automatically. That means each sandbox starts from an already-running Python process inside a real VM, runs the code, and exits. These are real KVM VMs, not containers: separate guest kernel, separate guest…

    Mar 2026 · github.com

  5. 5
    SmolVLM2206

    Smallest Video LM Ever from HuggingFace

    2025

  6. 6

    Local sandboxes for AI agents on your Mac, Linux, bare metal

    Aug 2026 · github.com

  7. 7RC

    Hi HN, we built SuperHQ, an open source app that runs AI coding agents in isolated microVM sandboxes instead of directly on your machine. Each agent gets its own VM with a full Debian environment. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a diff view to accept or discard changes. API keys never enter the sandbox. We also just launched remote.superhq.ai which acts as a remote control for SuperHQ, allowing you to access your workspaces and agents from anywhere.

    Apr 2026 · github.com

  8. 8
    SuperHQ95

    Run AI coding agents in real microVM sandboxes

    Apr 2026

  9. 9

    Spin up secure sandboxes in ~100 ms

    Nov 2025

  10. 10TV
  11. 11
    WebTerm109

    A browser terminal sandbox for learning CLI without fear

    Jan 2026

  12. 12

    Give your AI agent physical control over any screen

    Jul 2026 · github.com

  13. 13

    Instant, hardware Isolated Sandboxes for AI agents

    Jul 2026 · createos.sh

  14. 14
    agentOS148

    254× cheaper sandbox alternative, powered by WebAssembly

    Jul 2026 · rivet.dev

  15. 15

    One workspace for Claude, Codex, Gemini and your stack

    May 2026

  16. 16

    Build production agents with harness and sandbox

    Apr 2026

  17. 17

    Open-source Computer Use MCP for AI agents

    May 2026 · github.com

  18. 18MO

    Hey everyone, We're excited to introduce MarinaBox, an open-source toolkit for creating isolated desktop/browser sandboxes tailored for AI agents. Over the past few months, we've worked on various projects involving: 1. AI agents interacting with computers (think Claude computer-use scenarios). 2. Browser automation for AI agents using tools like Playwright and Selenium. 3. Applications that need a live-session view to monitor AI agents' actions, with the ability for human-in-the-loop intervention. What we learned: All these scenarios share a common need for robust infrastructure. So,…

    2024 · github.com

  19. 19WB

    Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…

    Apr 2026 · github.com

  20. 20SB

    Hi HN, We are building Sanbox, a platform for running AI agents in isolated and resumable sandboxes. We use the OpenCode SDK as the harness, support reusable templates, and have a CLI that works with Codex, Claude Code, Cursor, CI, or your terminal. Each sandbox has MicroVM isolation, a persistent filesystem, and live trail of run events. Can also self-host if required for security/compliance. It's on the roadmap to add network ACL, secrets managements, LLM cost tracking & observability. We are also happy to build custom integrations or triggers for specific use cases. For example,…

    Jul 2026 · sanbox.cloud

  21. 21

    One workspace. Every local AI tool. Zero Cloud.

    Jun 2026 · openllm-studio.vercel.app

  22. 22AL

    May 2026 · github.com

  23. 23

    Real Linux sandboxes for coding agents

    Jun 2026 · crownest.dev

  24. 24LA

    A Python SDK for sandboxed filesystem operations, built on just-bash, AgentFS, and Pyodide. Provides AI agents with a persistent, isolated environment backed by SQLite.

    Jan 2026 · github.com

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