Read about how Perplexity implemented E2B Sandboxes for running the underlying code. 

Guide for building a program that trains a ML model and displays the results in a graph

Guide for building a program that trains a ML model and displays the results in a graph

Lawrence Chen talks about Manaflow, a startup automating repetitive office work with AI agents

Learn how to use E2B with LLMs powered by Groq to securely run the AI-generated code.

Learn how to use E2B with LLMs powered by Groq to securely run the AI-generated code.

How to generate and execute code with Llama 3.1, including a step-by-step guide.

How to generate and execute code with Llama 3.1, including a step-by-step guide.

Read interview with Ben Reilly, the founding platform engineer of Athena Intelligence, AI data analyst for enterprises.

This example shows how to add code interpreting to an LLM using the Code Interpreter SDK and LangGraph.

This example shows how to add code interpreting to an LLM using the Code Interpreter SDK and LangChain.

Follow these steps to use Llama 3, Groq, and E2B for analyzing your uploaded data files

The founder of Gumloop shares their journey from AutoGPT wrapper to "Zapier on steroids".

In this Python guide, we give the new Mistal's model code interpreter as a tool.

In this guide, we give GPT-4o code interpreter capabilities and test it on data visualization task.

We released the Code Interpreter SDK - open-source building block for AI developers.

In this guide, we give Llama 3 code interpreter capabilities and test it on data analysis and data visualization task.

Are "devins" replacing software engineers? This blog post compares popular open-source Devin alternatives and their capabilities.

Aamir Rasheed built Agentboard, a playground for open-source AI agents like Open Interpreter. Read about architecture, techstack, and capabilities of Agentboard.

James Murdza of GitWit shares how he built ReactEval to run tests for React code.

Ted Spare of Rubric Labs discusses challenges he encountered while building AI-powered products.

Users are now able to customize the number of vCPUs and RAM size for the sandboxes.

We added support for Huge Pages to our sandboxes which makes the start of memory-intensive tasks in sandboxes up to 5x faster.

Today we're enabling billing on E2B. Read a quick overview of what it means for you.

Check out a new AutoGen code interpreter where the LLM-generated code is executed in the cloud, using E2B sandbox.

I tested CrewAI and compared it with AutoGen, mainly regarding the LLM-generated code execution capabilities.

What is a code interpreter in the AI sense + some popular examples

A few obvious and less obvious issues that developers can experience when building AI apps that execute LLM-generated code locally.

AI founders and developers share what they think the upcoming year will bring for AI agents and apps.

Learn how to build a custom AI developer that works on your GitHub repository, and then makes a pull request with the changes.

What do the OpenAI's GPTs mean for the "independent" AI agents?

How is the OpenAI Code Interpreter different from the E2B Code Interpreter Sandbox? See the comparison.

Summarizing the announcements from one of the biggest AI events in 2023.

Enjoy our monthly recap of new AI products, exciting news, podcasts, and articles, and E2B updates!

Create a LangChain agent with E2B cloud sandbox and GPT-4 to analyze your uploaded data.

About the challenges of memory, security, testing, and data privacy of LLM products.

AutoGen has gained big popularity among multi-agent frameworks. We will create a simple data visualization Python script and show how to execute code with AutoGen.

We compared across several categories three AI tools: GitHub Copilot, Cursor, and Aide, the latter two built as a modification of VSCode.

Lindy is an AI assistant whose objective is to save users' time. ” We asked its creator, Flo Crivello, a few questions about building agents.

Here is what we learned about products built on the top of agents, their challenges, standardization, and the future.

We asked the Sweep founders for their view on the current agents' space, and the challenges they are working on to solve for the agents.

We asked the founder of Cognosys, Sully Omar, about his experience with building a product for no-code users in the Agents space.

David Zhang is the founder of Aomni. We asked David about Aomni users, the challenges he has been working on recently, and his view on the agents’ journey toward reliability.

We talked with Ismail Pelaseyed, the founder of Superagent, about AI agents, their current challenges, and potential solutions.

By establishing a common framework, we aim to help the agent ecosystem grow faster and simplify the work.

The e2b plugin for ChatGPT is like the official code interpreter plugin, but on steroids. It gives your ChatGPT an access to a full cloud environment that is sandboxed and running on e2b infrastructure.

We discussed current challenges faced by agents, e.g. their deployment, debugging in real time or tooling.

Today, we launched an AI agent deployed on e2b. Meet "smol developer" -  your very own personal junior developer, and at the same time a powerful AI agent. You can start working with smol developer within a few seconds.

In the last months, AI agents have gained huge popularity - AutoGPT has reached 140,000 stars on GitHub and we’re seeing new companies being started on an almost weekly basis. We compared over 50 agents and made conclusions about their ecosystem.