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My own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. R…
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
The Open Cookbook for Top-Tier Code Large Language Model
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.
The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
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.
Devon: An open-source pair programmer
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A CLI that converts natural language to shell commands.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains