rivet VS axflow

But now coming to today's tool, let's talk about a topic that comes and goes, but it's always fun to play around with. I'm referring to AI; as you know, I'm not an AI-addicted person, but I like to have my share of fun with it! And a few days ago I came across the program that I am presenting to you today which aims to be very interesting and fun! Rivet, this is the name of the tool of this week, is a visual development environment for AI agents. But in what sense? Well, once you download the software, you will have a drag and drop interface to create a flow of information that can interact with various LLMs, whether it's GPT, Google models, or even Open models like Ollama running locally. It can handle all the classic control flows (if, loop etc.) and can integrate JS functions directly into it or import them from the project where we decide to incorporate it.

https://rivet.ironcladapp.com

Hey HN!

We just released a new library for building LLM-powered applications: @axflow/models. It is part of a larger suite of libraries we're developing for TypeScript developers working with generative AI.

This library provides the simplest APIs for 1) invoking the most popular LLM and embedding models (openai, anthropic, cohere, huggingface, etc.) 2) streaming LLM responses to clients, including augmenting the streams with additional arbitrary data and 3) building client-side applications with React hooks.

@axflow/models has zero dependencies and is built using only the JavaScript standard library. As such, it works in all environments including edge environments like the Next.js edge runtime.

We'd love any feedback you may have. You can check out the code and more on our GitHub (https://github.com/axflow/axflow)