E2B
AI Infrastructure & MLOps
E2B Gives AI Agents Secure Computers with Real-World Tools. E2B is Used by 88% of Fortune 100 Companies for Frontier Agentic Workflows.
E2B is an open-source AI infrastructure platform that provides secure, isolated computing environments for AI agents. It enables AI systems to execute code, access real-world tools, and interact with external systems safely and reliably. The platform addresses a critical need in agentic AI workflows by offering sandboxed execution environments where agents can perform complex tasks without compromising security or stability. E2B handles infrastructure concerns, allowing developers to focus on building agent logic rather than managing compute resources and safety protocols. E2B is designed for organizations deploying frontier agentic AI applications, from startups building autonomous systems to enterprises integrating AI agents into production workflows. The platform's adoption across 88% of Fortune 100 companies reflects its utility in handling mission-critical agentic operations at scale. Key capabilities include secure code execution, integration with external APIs and tools, and reliable sandboxing that prevents unauthorized access or system interference. The open-source model makes the platform accessible for development and customization while enabling community contributions. E2B serves as essential infrastructure for teams building AI agents that need to interact with real-world systems, execute user-provided code, or perform autonomous tasks while maintaining security and reliability standards required in enterprise environments.
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Run and deploy AI models with a cloud API
Serve and scale open-source and custom AI models on the fastest, most reliable inference platform.
Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior an
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