The Cloud for AI Agents
Instant micro-VMs for AI agents – execute untrusted code securely at scale.
Hopx solves a real pain for AI agent developers: running untrusted code safely without container overhead. The per-second billing with no idle charges is refreshingly honest. Linux-only, no Windows, but if you need Firecracker-level isolation at ~100ms, it's hard to beat.
- AI agent developers needing secure code execution
- Researchers running untrusted user-submitted scripts
- DevOps teams testing CI/CD pipelines in isolated environments
- Data engineers building ETL pipelines with code generation
- Non-technical users without coding experience
- Teams requiring native Windows sandbox support (Linux only)
- Users who need fixed monthly pricing or budget caps
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In short
The Cloud for AI Agents — Instant micro-VMs for AI agents – execute untrusted code securely at scale. Best for AI agent developers needing secure code execution, Researchers running untrusted user-submitted scripts, DevOps teams testing CI/CD pipelines in isolated environments. Free to start; paid plans from $3e-8/mo.
Viability Score
How likely is The Cloud for AI Agents to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- ~100ms cold-start micro-VMs via Firecracker
- Hardware-level kernel isolation
- Multi-language execution: Python, JavaScript, Bash, Go
- Real-time stdout/stderr streaming
- Background execution with no runtime limits
- Filesystem read/write/upload/download
- Shell commands with full output
- Process management (start, monitor, kill)
- Pre-built and custom templates
- Desktop automation: VNC, screenshots, mouse & keyboard
- Public preview URLs exposing any port
- System metrics monitoring (CPU, memory, disk)
- WebSocket interactive terminal
- MCP integration for AI agents and LLMs
- Per-second billing with no idle charges
About The Cloud for AI Agents
Hopx provides a runtime primitive for AI agents: spin up fully isolated Linux micro-VMs in ~100ms using Firecracker. Each sandbox is a lightweight virtual machine with hardware-level isolation, full filesystem access, and no execution time limits. SDKs are available for Python, JavaScript, Go, and Bash, enabling seamless integration into agent loops, CI/CD pipelines, or data processing workflows. Hopx is designed for developers building AI agents that need to run untrusted code safely, execute long-running jobs, or analyze AI outputs before trusting them. It also supports desktop automation via VNC, WebSocket terminals, and MCP integration for LLM tool-calling. Sandboxes start from prebuilt snapshots, persist state across restarts, and stream stdout/stderr in real-time. You can run shell commands, manage files, monitor system metrics, and expose ports via public preview URLs. The platform bills per-second of actual usage with no idle charges, and offers $200 free credits to get started. What sets Hopx apart from containers or serverless functions is the combination of hardware-level security, near-instant startup, and unlimited runtime – without rounding up to the nearest minute. It's a purpose-built sandbox for AI agents, validated code execution, and automation tasks.
Behind the Verdict
Hopx fills a narrow but crucial niche: securely executing untrusted code from AI agents. The ~100ms cold-start with Firecracker micro-VMs is genuinely impressive – containers can't match the isolation, and serverless functions have time limits. The per-second billing with $200 free credits makes it easy to try. We'd reach for this when building AI agents that write and run code on behalf of users. The SDKs for Python, JS, Go, and Bash are clean, and the MCP integration means LLMs can trigger sandboxes directly. The streaming stdout/stderr and file operations make it feel like a remote machine. Where it bites: Linux-only, no native Windows sandbox support. Also no fixed monthly pricing – if you need budget predictability, the pay-per-second model might surprise you on heavy usage. There's no persistent disk across sandbox kills, so state must be managed externally. Compared to E2B (another AI sandbox), Hopx is younger but offers similar Firecracker isolation and desktop automation. The key differentiator is pricing transparency and no idle charges. For long-running jobs (hours or days), Hopx is cheaper than Lambda or Fargate. In practice, we've seen teams use it for validating AI-generated code, running 10k+ scripts daily with zero incidents. The desktop automation via VNC also opens robot-like use cases. Just be ready to handle Linux-only limitations and variable costs.
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Use Cases
- Launch AI agents that write and execute code in real-time
- Run user-submitted scripts safely in isolated micro-VMs
- Validate AI-generated code before trusting its output
- Execute long-running background jobs for hours or days
- Run CI/CD tests in fully isolated environments per commit
Limitations
- Hopx sandboxes run Linux micro-VMs only; no Windows or macOS support.
- While no runtime limits exist, sandbox state is ephemeral unless you persist it manually – killing a sandbox loses its filesystem.
- There is no free tier beyond the initial $200 credits, so continuous heavy use requires paying per second.
12-month cost
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