How are you actually using agent sandboxes like E2B or Daytona? Trying to work out if I need one
Summary
A developer discusses the tradeoffs of using agent sandboxes like E2B and Daytona for running code execution, asking the community about lifespan, state persistence, network isolation, and managed vs self-hosted solutions.
Similar Articles
How are you all handling state for long-running agents? Stateless sandboxes are eating my evenings
A developer discusses challenges with state persistence in long-running coding agents using sandbox environments, detailing the costly resume overhead and seeking community solutions for persistent state handling without custom checkpointing layers.
@latentspacepod: Daytona’s Agent-Native Compute: 60ms sandboxes, 50K startups in 75 sec, 850K daily runs, RL/evals, CLI > MCP, & the end…
Daytona's CEO Ivan Burazin discusses their agent-native compute platform offering 60ms sandboxes, stateful snapshots, and support for RL/evals, marking a shift from local development to cloud-based agent infrastructure.
What sandbox are you all using for AI agents?
The author is asking for recommendations on sandboxes to safely run AI agents on personal machines, mentioning Bubblewrap and Docker as options but noting usability concerns.
How We Built Secure, Scalable Agent Sandbox Infrastructure (8 minute read)
Browser Use describes two patterns for isolating AI agents that execute code: isolating the tool vs isolating the agent. They implemented the agent isolation pattern using Unikraft micro-VMs on AWS, achieving secure, scalable, and disposable sandboxes.
@sidpalas: https://x.com/sidpalas/status/2066521471430574162
This post evaluates sandbox platforms for background agents, focusing on requirements like running real workloads, ingress, and cost. It outlines the Deputies sandbox provider interface and key considerations.