Stars
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Lightweight coding agent that runs in your terminal
No fortress, purely open ground. OpenManus is Coming.
An open-source framework for making universal native apps with React. Expo runs on Android, iOS, and the web.
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Agent Framework / shim to use Pydantic with LLMs
Scan for React performance issues and eliminate slow renders in your app
Model Context Protocol Servers
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
The Open Cookbook for Top-Tier Code Large Language Model
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Investment Research for Everyone, Everywhere.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.