Agent Sandbox

Coding agents combine an LLM planner, tool execution, and a sandboxed runtime to autonomously write, run, and fix code. Learn how the full loop works and how to build one.

Best AI agent sandbox in 2026: Novita Agent Sandbox leads with Firecracker microVM, BYOC in AWS/GCP VPC, and no subscription fee. Compare E2B, Daytona, Modal, and Vercel Sandbox.

How to evaluate AI agent sandboxes across cold start, isolation, GPU, BYOC, and pricing. Covers E2B, Daytona, and Novita Agent Sandbox with a concrete decision framework.

What is an AI agent sandbox? Learn how isolation, egress filtering, snapshotting, and container vs. microVM boundaries work — and when you need one.

An AI sandbox can run browser automation — with conditions. Learn when it fits, what it enables, its hard limits, and when to use a dedicated browser tool instead.

AI sandbox solutions by category: managed cloud, self-hosted, embedded interpreter, full agent runtime — evaluation dimensions and use-case matching table.

Understand what makes an AI code execution sandbox secure: isolation models, egress controls, secrets handling, and the right questions to ask any provider.

Answers to common questions about AI agent sandbox isolation, egress controls, file access, session state, secrets, audit logs, compliance, pricing, and self-hosting.

A buyer's guide to AI agent sandbox pricing: per-session fees, compute tiers, storage, egress, package caching, idle time, and self-hosted cost models.

A security evaluation guide covering which events AI agent sandbox audit logs must capture, retention policies, log integrity, and how to surface logs for incident response.

Understand the architectural difference between a code interpreter and an agent runtime, and learn which workload characteristics push you toward each.

A practical security guide for teams enabling AI agents to install packages in sandboxes: allowlists, version pinning, registry mirrors, egress controls, and audit logging.