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E2B | The Enterprise AI Agent Cloud E2B Gives AI Agents Secure Computers with Real-World Tools E2B is Used by 88% of Fortune 100 Companies for Frontier Agentic Workflows
E2B Raises $21M to Build the Cloud Designed for AI Agents The result was E2B: an open-source, sandboxed runtime that gives AI agents their own ephemeral, isolated “computers” in the cloud These sandboxes can be launched in milliseconds, run securely, and scale up or down to meet the demands of any workflow
e2b-dev E2B | DeepWiki E2B is an open-source infrastructure that enables execution of AI-generated code in secure, isolated cloud sandboxes This repository contains the core SDKs in JavaScript and Python, a CLI tool, and documentation website
Enterprise — E2B Open-source architecture delivering best-in-class performance, designed specifically for AI agents and the developers who build them E2B works where you do - deploy us securely in your own cloud or on premises Enterprise-grade security features to protect your data, workloads, and credentials
Czech startup E2B raises millions from U. S. Partners E2B develops infrastructure for building, testing, and deploying autonomous AI agents Its core platform enables enterprises to run large language model (LLM)-powered agents securely, using sandboxed environments with features like shared memory, credentials management, observability, and real-time coordination tools
E2B | Cloud for AI Agents - GitHub Open-source, secure environment with real-world tools for enterprise-grade agents We make it easy for developers to add code interpreting to AI apps with the E2B SDK Read our documentation at e2b dev docs Start with the Quickstart guide in our documentation
Exploring E2B: The Future of Secure AI Code Execution Explore the potential of agentic systems and learn how E2B is paving the way for their widespread adoption Vasek, co-founder and CEO of E2B, shares his insights into the future of agentic systems and the critical role of secure code execution