Awesome Opensource Ai

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

An Open Source Machine Learning Framework for Everyone

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

The agent that grows with you

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

The open source coding agent.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Production-ready platform for agentic workflow development.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

The agent engineering platform.

The API to search, scrape, and interact with the web at scale. 🔥

Python tool for converting files and office documents to Markdown.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

LLM inference in C/C++

21 Lessons, Get Started Building with Generative AI

An open-source AI agent that brings the power of Gemini directly into your terminal.

Robust Speech Recognition via Large-Scale Weak Supervision

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

real time face swap and one-click video deepfake with only a single image

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Open Source Computer Vision Library

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

An extremely fast Python package and project manager, written in Rust.

Lightweight coding agent that runs in your terminal

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

TradingAgents: Multi-Agents LLM Financial Trading Framework

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

A high-throughput and memory-efficient inference and serving engine for LLMs

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

VS Code in the browser

Models and examples built with TensorFlow

Free and Open Source, Distributed, RESTful Search Engine

🙌 OpenHands: AI-Driven Development

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

The open-source app everyone uses to manage agents at work

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Financial data platform for analysts, quants and AI agents.

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN

scikit-learn: machine learning in Python

Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Deep Learning for humans