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.
Users praise LangChain's E2B sandbox integration for Deep Agents because it pairs a strong harness with a reliable runtime that enables easier production deployments.
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Detailed walkthrough:
https://docs.langchain.com/oss/python/deepagents/sandboxes#e2b
@mlejva @LangChain Brb deploying long-running agents in production now.
Deploying long-running agents in production requires bespoke infrastructure.
With E2B as your @LangChain Deep Agents backend, you get a top open-source agent harness with your agents' favorite runtime.
Check out the full integration guide.
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.
@mlejva @LangChain Deep Agents gotta be my favorite way to build agents. E2B's the best sbx provider in the game - what more can one ask for!
@e2b @LangChain LMK what you build.
@MikayelHarut @LangChain For a good agent, you need a good harness. To deploy it, you need a good runtime - this integration kills two birds with one stone. Glad to see this one come out.
