Access the latest AI models like ChatGPT, LLaMA, Diffusion, Gemini Hugging face, and beyond through a unified prompt layer and performance evaluation

一个让 Bob 翻译可以使用 Anthropic Claude API 的插件

The fastest way to build conversational AI chatbots.

Browser script to share and export Anthropic Claude chat logs to Markdown, JSON, or as Image (PNG)

A native Android app created with React Native on the Expo framework. Chat with assistants from OpenAI, Anthropic and Mistral.

This Discord bot leverages the Anthropic Claude and Google Gemini APIs to deliver dynamic conversational experiences. Powered by Anthropic's advanced Claude models and Google's robust Gemini language models, the bot can respond to user messages, maintain conversation history, and execute various commands.

AWS AI ChatBot streaming demo implementation using NodeJS, AWS Bedrock, Lambda and DocumentDB

Chunkify.ai - Where tasks meet their match. One chunk at a time.

Private, secure, AI chatbot interface to serve locally or host on an HTML. This simplified interface and minimal file format aims to provide a framework easily built and expanded on as the field of AI continues to grow. Highly customizable with a visual editor. Currently in the early stages: Development is happening rapidly.

A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, DeepInfra, Fireworks AI, Friendli AI, Google Gemini, Goose AI, Groq, Hugging Face, Mistral AI, Monster API, Octo AI, Perplexity, Reka AI, watsonx.ai, and LLaMA.cpp.

Backend for an AI Revit assistant called Zoidberg.

Official NodeJS library for monitoring LLM Applications with Doku

Telegram bot powered by the Vercel AI SDK: Chat with GPT-4, Claude, Gemini, Mistral and more!

A Node.js Netlify Function based port of jtsang4/claude-to-chatgpt; it adapts Anthropic's Claude API to match OpenAI's Chat API format.

UI-POET is a command-line tool that generates frontend code (HTML, CSS, and JavaScript) based on a user-provided prompt. It utilizes various AI models to understand the user's requirements, gather inspiration from images, analyze the desired UI, and generate the corresponding code without a single touch to any code file by the user.

Extension for VS Code to generate code. Streams responses from Anthropic.