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README.md
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README.md
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</p>
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</h1>
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<h3 align="center">
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Try out E2B's <a href="https://e2b.dev/docs?ref=awesome-sdks">sandbox runtime </a> for agents, copilots, and AI apps
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Try out E2B's <a href="https://e2b.dev/docs?ref=awesome-sdks">sandbox </a> for AI apps & agents
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</h3>
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<h5 align="center">👉 <a href="https://forms.gle/UXQFCogLYrPFvfoUA">Submit new product here</a></h5>
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</details>
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## [Superagent](https://www.superagent.sh/)</details>
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## :eight_pointed_black_star: [Superagent](https://www.superagent.sh/)</details>
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Not a single agent, but a tool that allows creating agents without coding
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<details>
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</details>
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## [MultiOn](https://multion.ai/)
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## :eight_pointed_black_star: [MultiOn](https://multion.ai/)
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AI personal agent, holding the record for the first AI flight booking, food order (a burger) & workplace cert
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<details>
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</details>
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## [ReactAgent](https://github.com/eylonmiz/react-agent)
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A React.js Autonomous LLM Agent.
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<details>
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### Description
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- Generate React Components from user stories
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- Compose React Components from existing components
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- Use a local design system to generate React Components
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- Use React, TailwindCSS, Typescript, Radix UI, Shadcn UI
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- Built with Atomic Design Principles
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### Links
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- [Documentation](https://docs.reactagent.io/)
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- [Demo](https://www.loom.com/share/658adb2869174e81a39a0a2cdcfec4eb)
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- [Discord](https://discord.gg/57JjYNKe)
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- [GitHub](https://github.com/eylonmiz/react-agent)
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</details>
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## [Saga](https://saga.so/ai)
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A digital AI assistant, an AI-powered workspace integrating notes, tasks, and tools
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</details>
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# Who's behind this?
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# :eight_pointed_black_star: AI products with E2B sandbox integration or native support
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### [Superagent](https://www.superagent.sh/)
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Superagent uses E2B as a [code execution tool](https://x.com/pelaseyed/status/1709592941226831916?s=20). To try Superagent with E2B, create a Code interpreter API and then select it for your agent to use.
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### [OpenAI's Assistants](https://e2b.dev/docs/llm-platforms/openai/)
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You can define actions for your AI assistant and E2B will automatically execute them inside a sandbox. This allows you to create powerful AI assistants with custom tools completely predefined by you.
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To [try the OpenAI Assistants with E2B](https://e2b.dev/docs/llm-platforms/openai), you can follow our guide in [Python](https://e2b.dev/docs/llm-platforms/openai#python) or [JavaScript](https://e2b.dev/docs/llm-platforms/openai#java-script).
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### [Langchain Data Analyst](https://python.langchain.com/docs/integrations/tools/e2b_data_analysis)
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E2B Data Analysis sandbox [integrated into Langchain](https://python.langchain.com/docs/integrations/tools/e2b_data_analysis) allows you to:
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- Run Python code
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- Generate charts via matplotlib
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- Install Python packages dynamically during runtime
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- Install system packages dynamically during runtime
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- Run shell commands
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- Upload and download files.
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See also a guide [here](https://e2b.dev/blog/build-ai-data-analyst-with-langchain-and-e2b).
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## Want to use E2B with your AI product?
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Contact us at [hello@e2b.dev](mailto:hello@e2b.dev) or [on discord](https://discord.gg/35NF4Y8WSE).
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We are open-source and you can get started with E2B [here](https://e2b.dev/docs?ref=awesome-sdks).
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<img src="/assets/footer.png" width="100%" alt="SDKs Repo Visual" />
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This list was made by the team behind [E2B](https://github.com/e2b-dev/e2b?ref=awesome-sdks). E2b is building a Sandbox Runtime for LLM apps and agents - that is, a set of custom sandboxed cloud environments for AI-powered apps and agentic workflows. Get started [here](https://e2b.dev/docs?ref=awesome-sdks).
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## Join the community
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- Follow us on [X ](https://twitter.com/e2b_dev)
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