Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need

A modular graph-based Retrieval-Augmented Generation (RAG) system

An open-source RAG-based tool for chatting with your documents.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Build Real-Time Knowledge Graphs for AI Agents

🚀 The fast, Pythonic way to build MCP servers and clients

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Structured Outputs

The official GitHub page for the survey paper "A Survey of Large Language Models".

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Agent Framework / shim to use Pydantic with LLMs

Pocket Flow: Codebase to Tutorial

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Access large language models from the command-line

Easily fine-tune, evaluate and deploy Qwen3, DeepSeek-R1, Llama 4 or any open source LLM / VLM!

The most reliable AI agent framework that supports MCP.

A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)