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LLM, RL, DPO, SFT, Distillation, Alignment. 由《大模型算法》作者发起(By the author of the book📘 "Large Model Algorithms")
A modular graph-based Retrieval-Augmented Generation (RAG) system
Train your Agent model via our easy and efficient framework
The official Python SDK for Model Context Protocol servers and clients
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Train your AI self, amplify you, bridge the world
A lightweight, powerful framework for multi-agent workflows
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A powerful tool for creating fine-tuning datasets for LLM
LlamaIndex is the leading framework for building LLM-powered agents over your data.
🤗 smolagents: a barebones library for agents that think in code.
Fully local web research and report writing assistant
Create Open XML PowerPoint documents in Python
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
GraphQL server with a focus on ease of use
No fortress, purely open ground. OpenManus is Coming.
Cost-efficient and pluggable Infrastructure components for GenAI inference
A toolkit to run Ray applications on Kubernetes
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.