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Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Fast and memory-efficient exact attention

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Roo Code gives you a whole dev team of AI agents in your code editor.

DeepSeek Coder: Let the Code Write Itself

The open-source alternative to Claude Cowork (powered by opencode)

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Graph Neural Network Library for PyTorch

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm

Temporal service

"RAG-Anything: All-in-One RAG Framework"

Universal LLM Deployment Engine with ML Compilation

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Open-source vector similarity search for Postgres

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

A high-performance observability data pipeline.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

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Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator