Introducing E2B Embed: it brings AI agent sandboxes directly into your product and run them on infrastructure you control.
E2B Embed packages the full E2B stack on a single node, giving you the flexibility to deploy in your own environment or a customer’s. Open source under Apache 2.0, it supports Docker Compose, Terraform on GCP, and Kubernetes. All with the same E2B SDK, CLI, and API.
https://t.co/KQ0UsBouiM
besides carbon, here's some of my favorite software that offers BYOC
1. @planepowers (jira/linear)
2. @turbopuffer (search)
3. @e2b (sandboxes)
4. @ClickHouseDB (olap)
5. zero by @rocicorp (sync engine)
Why make an agent choose one way of solving a problem when it can explore them all?
Catch our very own @mishushakov and @ondrej_sh at @aiDotEngineer on Thursday, September 24, as they show how agents can fork live machines to explore multiple paths in parallel- each with its own copy of the machine’s state, filesystem, and running processes.
🚀 Our open-source project has a new name: E2B Runtime.
Behind every E2B stack there's a runtime. Cloud, enterprise, or embedded in your product. Same code, Apache-2.0.
Old URL redirects. Something new is already in the tree. More soon.
https://t.co/W39mncwM9j
TIL that replacing https://t.co/fvb7HLQ8ia with https://t.co/vrnaef8RW5 on PR automatically opens the @linear diff viewer.
So I prepared a @raycast script and set up the ✦R shortcut to quickly open GitHub PRs in Linear Guide...😮💨
Cursor x E2B
Many of our customers use E2B in their internal development workflows. Some work in regulated industries where code and internal services can’t leave the company. For teams that need control over the execution environment, Cursor’s cloud agents can now use E2B as their machine.
With Self-Hosted Machines, @cursor_ai handles the agent loop while @e2b runs the code. Teams can give agents bigger machines and start them from custom E2B templates, so their Cursor workloads boot straight into an environment with internal dependencies already in place.
Try it: https://t.co/KOG7ISdiWQ