prompt-apps
E2B
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| prompt-apps | E2B | |
|---|---|---|
| 3 | 34 | |
| 44 | 6,076 | |
| - | 3.9% | |
| 7.2 | 9.9 | |
| 8 months ago | 7 days ago | |
| JavaScript | TypeScript | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
prompt-apps
E2B
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Show HN: Add AI code interpreter to any LLM via SDK
Hi, I'm the CEO of the company that built this SDK.
We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].
You can think of us as giving small cloud computers to LLMs.
We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense
The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].
We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].
Our long-term plan is to build an automated AWS for AI apps and agents.
Happy to answer any questions and hear feedback!
[0] https://e2b.dev/
[1] https://github.com/e2b-dev
[2] https://github.com/firecracker-microvm/firecracker
[3] https://e2b.dev/docs
[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...
[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...
- Open Source Python Code Interpreter for Any LLM
- Show HN: Open-Source Infrastructure for AI Code Interpreters
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We're building cloud runtime for AI agents and gradually open-sourcing everything
Hey folks, we're building an open source runtime for AI agents at E2B.
- Show HN: Run LLM-generated code in sandboxed envs
- Sandboxed cloud environments for AI agents & apps with a single line of code
- We're building a cloud for AI agents & AI apps, It's free and we're gradually open-sourcing the infra. Would love to hear your feedback!
- [P] We're building a cloud for AI agents & AI apps, It's free and we're gradually open-sourcing the infra. Would love to hear your feedback!
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Show HN: Cloud for AI Agents and AI Apps
Thanks for the feedback!
You can use to start sandboxed playgrounds where you can run LLM generated code, run headless browsers, let LLMs do data analysis, and more.
The docs are here https://e2b.dev/docs
What are some alternatives?
alpaca.cpp-webui - Web UI for Alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
LLM-Prompt-Library - Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for GPT-4, Claude, Llama2, Falcon, Bard, and other high-performing open-source LLMs.
chatgpt-shell - ChatGPT and DALL-E Emacs shells + Org babel 🦄 + a shell maker for other providers
AutoLearn-GPT - ChatGPT learns automatically.
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
HyunGPT - chatbot thing
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.
prompt-engineering - ChatGPT Prompt Engineering for Developers - deeplearning.ai
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
GPT-4-Prompt-Library - Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for GPT-4, Claude, Llama2, Falcon, Bard, and other high-performing open-source LLMs. [Moved to: https://github.com/abilzerian/LLM-Prompt-Library]
rapidpages - Generate React and Tailwind components using AI