Agent Sandbox é uma ferramenta de execução de código segura para agentes de IA que suporta Python e Bash.
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overview
Agent Sandbox é uma ferramenta de codificação segura desenvolvida pela Virgent.ai que permite aos desenvolvedores de IA lançar agentes de IA que executam código Python e Bash de forma segura. A ferramenta conta com uma API Sandbox que oferece armazenamento de arquivos, instalação de dependências e geração de artefatos.
features
Agent Sandbox oferece uma variedade de recursos adequados para executar código de forma segura, ao mesmo tempo em que facilita a interação entre agentes de IA.
use cases
O Agent Sandbox é ideal para uma variedade de usuários que precisam de um ambiente seguro para experimentar e implantar agentes de IA de forma eficaz.
pricing
A Agent Sandbox opera com um modelo de precificação freemium. Os primeiros $10 de uso são gratuitos, o que facilita a experimentação inicial sem custos imediatos. O uso subsequente gera cobranças de $0,00025 por segundo para computação e $0,0005 por megabyte para armazenamento.
Nível gratuito
Vendor website advertises a free tier.
Ferramentas similares
A Agent Sandbox se destaca entre os diversos concorrentes por seu foco na colaboração segura entre múltiplos agentes e na experimentação econômica.
Open-source Firecracker microVM sandbox infrastructure with specialized AI agent SDKs for Python and JavaScript execution.
E2B is a direct competitor offering similar Python/JavaScript code execution with strong AI agent tooling, but limits sessions to 24 hours maximum and lacks persistent state beyond that window. Both target AI agents, but E2B emphasizes open-source flexibility while Agent Sandbox focuses on perpetual sandboxes with indefinite state persistence.
Perpetual sandbox environments with sub-25ms resume times from standby, maintaining complete filesystem and memory state indefinitely without idle compute charges.
Blaxel directly competes on AI agent code execution with superior standby performance and cost efficiency through perpetual state retention. Unlike Agent Sandbox, Blaxel eliminates the cost tension between instant availability and infrastructure expenses by charging zero compute during idle periods.
Serverless platform optimized for Python ML workflows with gVisor container isolation, massive autoscaling to 20,000+ concurrent instances, and GPU support.
Modal is a broader serverless compute platform where sandboxing is one capability, making it less agent-focused than Agent Sandbox. Modal excels at Python-first ML workloads and autoscaling but lacks BYOC options and self-hosting, whereas Agent Sandbox targets lightweight agent code execution.
Fastest cold starts in the market at sub-90ms provisioning using Docker containers with Kata optional isolation for AI workflows.
Daytona competes on speed and ease of use with Docker ecosystem integration, but uses container-based isolation rather than microVMs and offers limited persistence compared to Agent Sandbox's file storage and artifact generation capabilities. It targets quick AI iterations rather than production-grade persistent agent environments.
Enterprise devbox infrastructure for AI coding agents with SOC 2 compliance, snapshot capabilities, and support for 10,000+ parallel instances with custom environment images up to 10GB.
Runloop targets enterprise AI coding assistants with compliance requirements and massive parallel scaling, whereas Agent Sandbox appears more focused on general-purpose agent code execution. Runloop's 2-second startup time and coding-agent specialization differ from Agent Sandbox's broader Python/Bash execution model.
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