Lists (14)
Stars
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
VPN client in a thin Docker container for multiple VPN providers, written in Go, and using OpenVPN or Wireguard, DNS over TLS, with a few proxy servers built-in.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Typst-based CV/resume generator for academics and engineers
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
一个基于nano banana pro🍌的原生AI PPT生成应用，迈向真正的＂Vibe PPT＂; 支持上传任意模板图片；上传任意素材&智能解析；一句话/大纲/页面描述自动生成PPT；口头修改指定区域、一键导出 - An AI-native PPT generator based on nano banana pro🍌
LangChain for Go, the easiest way to write LLM-based programs in Go
A natural language interface for computers
Cobra CLI tool to generate applications and commands
A collection of sample agents built with Agent Development Kit (ADK)
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kuberne…
Open-source AI agents for penetration testing
《Agentic Design Patterns》中文翻译版
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
Collection of publicly available IPTV channels from all over the world
Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
Curated coding interview preparation materials for busy software engineers
SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems
verl: Volcano Engine Reinforcement Learning for LLMs
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"