Filesystem-only snapshots are now available on E2B. Filesystem-only snapshots skip capturing memory and process state, making them quicker to create and restore while using less storage than full snapshots. Use them when you only care about the data on disk and don’t need running processes restored. For example, to persist a workspace between sessions or save build and scratch state without restoring running processes. Docs in the thread.

From the beginning, E2B has consistently ranked near the top of the pack on performance, while also providing the most complete form of workload isolation (full microVMs), most complete lifecycle capabilities (pause/resume, snapshot, etc), and a diverse set of deployment options (BYOC). We've never needed to benchmaxx because the years of R&D we've put into fast and secure machines tend to take care of that on their own. Nonetheless, we participated in ComputeSDK’s 100k Burst Concurrency Benchmark and crushed it as the fastest microVM provider with a 100% success rate across 109k sandboxes. We just keep doing what we do as the first, fastest, and most reliable Agent VM provider there is. Extremely proud of the team for being able to achieve this. Benchmark is linked in the comments.

Our own Matt Brockman is hosting a workshop on top 5 sandbox failure modes and how to address them at AI Engineer! Catch his workshop to become an expert in managing sandboxes in just 1 hour. You'll trigger & patch various failure modes live: burst traffic, callback loss, state leakage, runaway execution, and brittle templates. Join us at @aiDotEngineer on Monday, June 29 at 11:05am at Moscone West.

New banger integration alert: you can now use E2B sandboxes as the backend for your @LangChain Deep Agents. Get started by installing the dedicated package with pip install langchain-e2b, then follow the LangChain Deep Agents docs for step-by-step integration.

How do you deploy AI agents for financial institutions without compromising on security, isolation, or scale? Rogo powers complex research, analysis, and deal workflows for leading financial firms, supporting complex tasks across tens of thousands of concurrent users. To meet the diverse needs of financial teams, Rogo relies on both specialist and general-purpose agents that can adapt to a wide range of workflows. With Claude Managed Agents and self-hosted sandboxes, Rogo gets the orchestration and post-training capabilities needed to design these agent systems, while E2B provides the execution layer underneath. Every piece of code generated by an agent runs inside its own E2B sandbox with full auditability and traceability. Each sandbox is powered by an isolated microVM, providing the kernel-level isolation critical for Rogo's customers. The result is a seamless agent experience backed by the security, reliability, and compliance requirements that financial institutions demand.

How do you deploy AI agents for financial institutions without compromising on security, isolation, or scale? Rogo powers complex research, analysis, and deal workflows for leading financial firms, supporting complex tasks across tens of thousands of concurrent users. To meet the diverse needs of financial teams, Rogo relies on both specialist and general-purpose agents that can adapt to a wide range of workflows. With Claude Managed Agents and self-hosted sandboxes, Rogo gets the orchestration and post-training capabilities needed to design these agent systems, while E2B provides the execution layer underneath. Every piece of code generated by an agent runs inside its own E2B sandbox with full auditability and traceability. Each sandbox is powered by an isolated microVM, providing the kernel-level isolation critical for Rogo's customers. The result is a seamless agent experience backed by the security, reliability, and compliance requirements that financial institutions demand.

Claude Managed Agents can operate in a sandbox you control, on your own infrastructure or with any provider you choose. Today we added new guides for @blaxelAI, @e2b, @googlecloud, @namespacelabs, and @superserve_ai, so you can choose the best fit for your use case.

How do you deploy AI agents for financial institutions without compromising on security, isolation, or scale? Rogo powers complex research, analysis, and deal workflows for leading financial firms, supporting complex tasks across tens of thousands of concurrent users. To meet the diverse needs of financial teams, Rogo relies on both specialist and general-purpose agents that can adapt to a wide range of workflows. With Claude Managed Agents and self-hosted sandboxes, Rogo gets the orchestration and post-training capabilities needed to design these agent systems, while E2B provides the execution layer underneath. Every piece of code generated by an agent runs inside its own E2B sandbox with full auditability and traceability. Each sandbox is powered by an isolated microVM, providing the kernel-level isolation critical for Rogo's customers. The result is a seamless agent experience backed by the security, reliability, and compliance requirements that financial institutions demand.