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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 high-throughput and memory-efficient inference and serving engine for LLMs
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
The batteries-included agent harness.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
so-vits-svc fork with realtime support, improved interface and more features.
ImageBind One Embedding Space to Bind Them All
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
A lightweight data processing framework built on DuckDB and 3FS.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured mem…
A Pythonic framework to simplify AI service building
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
What's in your data? Extract schema, statistics and entities from datasets
Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, sparsely activated memory layers complement compute-heavy dense f…
A library for building and serving multi-node distributed faiss indices.
Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.