react-agent
E2B
react-agent | E2B | |
---|---|---|
8 | 35 | |
1,326 | 6,164 | |
- | 3.9% | |
4.3 | 9.9 | |
about 1 month ago | 7 days ago | |
TypeScript | TypeScript | |
MIT License | 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.
react-agent
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🚀 7 AI Tools to Improve your productivity: A Deep Dive 🪄✨
4️⃣ React Agent 🕵️♂️
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Boss told me if we could use chatGPT to make a big coding project for us.
Well, if you're coding in React, I have an experimental autonomous agent for you https://github.com/eylonmiz/react-agent, still experimental, but nice results so far.
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GPT-4 is Better Without Internet?
I'm building an OSS React Agent library, in this example, it is reading data and feeding chatGPT from the filesystem, but it can be the same as for any integration, like Google search or scraping results. https://github.com/eylonmiz/react-agent/blob/main/backend/main/react-agent/generateComponents.ts One of the features I'm implementing now is reading library docs from the web, once I finish this feature I could show a full implementation that includes scaping the web, but it should be straightforward using puppeteer integration instead of filesystem integration
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Introducing ReactAgent: The open-source React.js Autonomous LLM Agent
Website · Watch Demo · Github Repo · Docs · Discord
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Are autonomous software engineer agents the future of coding?
I'm using AI assistant tools for coding for the past 3-4 years, for Tabnine to Copilot and ChatGPT. They all go on the auto-completion route, which is nice, but it goes as far as saving me 30% - 70% of the time, making me more productive, let's say I can do 2X instead of 1X. In my humble opinion, it is not enough. I think we are a few steps away from exponential growth in software development speed, but it will be powered by software agents. No linear growth, exponential one. They generate specs, read specs, do PRs, do architecture planning, test code, and search for new libraries and technologies. It won't be linear growth, with no man in the loop (maybe initially), this could lead to the read Extreme programming vision, but autonomous. I've been working on an open-source experiment/project (ReactAgent) doing that for limited spec, using GPT-4, generating React.js (frontend framework) from user stories of a product manager (that BTW, we're also been generated by ChatGPT). I would love to know what you think, or even talk about how you see the future of software development! Repo: https://github.com/eylonmiz/react-agent Demo Video: Watch Demo » Website: https://reactagent.io/
I would love to know what you think, or even talk about how you see the future of software development!
Repo: https://github.com/eylonmiz/react-agent
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Self taught developers how do you do it?
as a self-taught web developer, that worked at multiple startups and co-founded a few of my own, my only advice is hard work on real projects. you can also work on OSS projects. if you're willing to work on an OSS project, I have one of my own that just started, I could also mentor you and help you get a paying job, this is the project: https://github.com/eylonmiz/react-agent
E2B
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Ask HN: Who is hiring? (May 2024)
E2B | https://e2b.dev | San Francisco, CA | Full-time | In-person
[E2B](https://e2b.dev) is building a secure open-source runtime that will power next billion of AI apps & agents.
We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter) to their AI apps with our SDK built on top of our [agentic runtime](https://github.com/e2b-dev/e2b). We have paying customers from seed to enterprise companies.
We're hiring:
- Frontend/Product Engineer
- Infrastructure Engineer
Check the roles here https://e2b.dev/careers
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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!
What are some alternatives?
react-gpt - The open-source React.js Autonomous LLM Agent [Moved to: https://github.com/eylonmiz/react-agent]
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
chatgpt-shell - ChatGPT and DALL-E Emacs shells + Org babel 🦄 + a shell maker for other providers
react-llm - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
botpress - The open-source hub to build & deploy GPT/LLM Agents ⚡️
Selefra - The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).
cody - AI that knows your entire codebase
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
sweep - Sweep: open-source AI-powered Software Developer for small features and bug fixes.
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.