Agent Sandbox

About Agent Sandbox

Agent Sandbox provides a personal remote computer and cloud storage for AI agents, combining sandboxed compute, persistent storage, and artifact retrieval in a single interface. Agents can upload files, run Python or Bash, install packages, and return deliverables such as charts, PDFs, and datasets while keeping execution off your local machine.

Review

Agent Sandbox addresses a common gap for agent builders by offering a safe, managed environment where agents can execute code and produce real outputs without risking a developer's local system. The product centers on a simple API surface that ties together file storage, session-based compute, and artifact handling, which makes it attractive for rapid prototyping and agent-driven workflows.

Key Features

• Sandboxed compute sessions that act like a personal VM for each agent, with session persistence across runs.
• Cloud storage for agent files and artifacts, enabling agents to retain state and reuse uploaded data.
• Support for running Python and Bash, including the ability to install packages within sessions.
• Artifact generation and retrieval: agents can produce and return charts, PDFs, datasets, and other deliverables.
• A compact API surface that aims to minimize infra setup and get agents running quickly.

Pricing and Value

The launch materials indicate interactive access with free options and an API-first approach aimed at developers. Exact pricing tiers are not detailed publicly, so teams should expect a free tier for experimentation and paid usage for production or heavier workloads. The main value proposition is time saved on infrastructure: fewer hours spent building sandboxing, storage, and execution plumbing so teams can focus on agent logic and outputs.

Pros

• Makes it easy to run code and produce tangible artifacts without exposing a local machine to risk.
• Combines persistent storage and compute so agents can maintain state across sessions.
• Supports common developer workflows (Python/Bash and package installs) that many agents require.
• Simple API reduces initial setup time compared with building containers and cloud infra from scratch.
• Good fit for rapid prototyping and iterating on agent behavior that needs real execution capabilities.

Cons

• Details on pricing and enterprise-grade features (advanced permissions, compliance) are limited at launch.
• May require evaluation for handling highly sensitive data and integration with existing security controls.
• As an early-stage offering, some integrations and advanced workflows may still be maturing.

Overall, Agent Sandbox is well suited for developers and small teams building agents that need to run code, manipulate files, and produce deliverables without building full infra stacks. Organizations that require strict compliance, broad enterprise integrations, or predictable long-term pricing should pilot the tool first to confirm it meets their operational and security needs.

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