Agent Sandbox is a secure execution environment and API for running Python and Bash agents with file storage, dependency installation, and artifact generation.
Agent Sandbox is an execution environment designed for building and deploying AI agents that can safely run Python and Bash code in production. It provides a secure sandbox API that isolates untrusted code, enabling developers to offload computation, automation tasks, and tool-using behaviors from LLMs without exposing core infrastructure. The platform focuses on giving AI agents controlled access to a real runtime while preserving security, observability, and reproducibility.
Key capabilities include sandboxed execution of Python and Bash with resource limits, ephemeral and persistent file storage, and controlled dependency installation via package managers. Agent Sandbox supports generating and storing artifactsβsuch as logs, reports, datasets, and model outputsβthat can be retrieved or consumed by downstream systems. Its API-centric design makes it straightforward to integrate with existing LLM workflows, orchestration frameworks, and agent libraries. Built-in isolation, environment management, and execution logging help teams manage risk, debug failures, and maintain compliance when running arbitrary code from AI agents.
Please sign in to comment
π¬ No comments yet
Be the first to share your thoughts!
Explore 1000+ top alternatives to Agent Sandbox
MindStudio is a platform for visually designing, configuring, and deploying custom AI applications and workflows using large language models and integrated data sources.
CloudTalk is a cloud-based call center and business phone system that enables teams to manage inbound and outbound calls, call routing, and customer support workflows.
Lucidya is an AI-powered customer analytics platform that collects and analyzes real-time, omnichannel data to help brands understand Arabic-speaking audiences and optimize customer interactions.
Blivz is a data enrichment and prospecting platform that lets go-to-market teams upload records, enrich them via AI agents and multiple providers, and execute outreach.
Langflow is a low-code platform for building, configuring, and deploying agentic and retrieval-augmented generation applications using Python with various large language models and vector databases.
Wellapp.ai consolidates EU foundersβ bank accounts, invoices, and financial data into a single AI-native platform to support US go-to-market operations and reporting.
Superagent is an AI safety and governance platform that monitors, restricts, and audits AI agent actions to prevent data leaks and ensure policy-compliant behavior.
Bolt Diy is a framework that lets users prompt, generate, edit, run, and deploy full-stack web applications using their choice of large language model.
Doxmind is a desktop AI editor that uses multiple agents, interactive visualizations, and automation to analyze, explore, and manage structured and unstructured data.
Virtualitics is an AI-powered data analytics platform that helps defense, government, and enterprises explore, visualize, and operationalize complex data for decision-making.
