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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
The ultimate LLM/AI application development framework in Golang.
David AI is a free and open-source collection of customizable, production-ready UI components built with Tailwind CSS.
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.
🤖🌊 aiFlows: The building blocks of your collaborative AI
Local coding agent with neat UI
Pure C ONNX runtime with zero dependancies for embedded devices
AI-native SaaS framework that builds full-stack apps using autonomous AI agents
A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
General Framework for Dota 2 AI Competitions
The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards
TSUKUYOMI is an advanced modular intelligence framework designed for the democratization of Intelligence Analysis via systematic analysis, processing, and reporting across multiple domains. Built on a component-based architecture, it separates operational logic from presentation through specialized modules and personality cores.
A Python-Script Based Generative AI platform
A simple neural network inference framework
A Multi-Agentic AI Assistant/Builder
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
🤖 A composable framework for building AI applications.