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QueryGPT-ADK is an open-source, multi-agent system for natural language to SQL query generation and explanation. It leverages LLMs and vector search to help users convert natural language questions in

This workflow serves a Question and Answer chat experience to an end user. It uses an AI Agent with a tool to fetch Question and Answer pairs stored in a Data Table (to serve the user answers grounded

Guardrails para desenvolver com agentes de IA: gate de CI bloqueante, hooks determinísticos, supply chain travada e fluxo de task com evidência. De 0 a funcionando sem orçamento

How it works

Video Introduction

Automated QuickBooks New Customer Welcome Emails

Video Introduction

Video Introduction

QuickerAgent: AI desktop assistant for Quicker. Monorepo with QuickerRpc plugin + qkrpc CLI — headless action create/edit/run via MCP, HTTP, or JSON CLI (StreamJsonRpc named pipe).

Quickfire is an insurance AMS built for P&C teams, independent agencies, wholesalers, and brokers. It’s designed to seamlessly integrate third-party APIs, support customizable workflows, and provide a

an open-source framework that bridges the capabilities of Large Language Models (LLMs) with Decentralized Physical Infrastructure Networks (DePINs) to create advanced AI agents.

Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®

Every email, right where you need it — synced to Notion

Generate YouTube shorts 10x faster with AI

Robinhood market intelligence writer that turns live crypto data into clear memo-style reports.

AI quiz generator with unique questions and answers

AI study tools that adapt to how you learn

Recursive agent orchestration with multi-LLM consensus

Advanced Multi-Agent AI Crude Oil Trading System with Adversarial Validation 2026

Enable your organization with the infrastructure to capture and maintain quotes.

Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agents to discover, inspect, call, and audit real-world tools.

A self-hosted AI agent built to drop into business workflows: customer ops, internal automation, knowledge retrieval, scheduled reporting. Deploys on a laptop, a workstation, or your own server — neve

AISecOps (AI Security Operations) framework for deterministic verification of AI systems. QWED verifies LLM outputs using math, logic, and symbolic execution — creating an auditable trust boundary fo

A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents

An open-source AI coding agent that lives in your terminal.

A comprehensive development toolkit plugin for LM Studio, specifically optimized for Qwen models with XML-style tool calling support and autonomous agent capabilities.

Drop-in OpenAI-compatible API gateway for Qwen AI models. Use your Qwen account (chat.qwen.ai) as a free AI API provider in any OpenAI-compatible client — Cursor, Continue.dev, Claude Code, VS Code Co

🚀 Multi-agent orchestration for Qwen Code CLI. 24 specialized AI agents and 82+ skills working as a professional dev department. Built for Alibaba's open-source AI coding assistant.

Qwen Qwen3 0.6B

Introduction

50X better prompt, 15X time saved, 10X clear response

Efforts toward giving Qwen 3 Coder 30B A3B proper agentic tool calling capabilities at or near 100% reliability.

Drop-in OpenAI-compatible API gateway for Qwen AI models. Use your Qwen account (chat.qwen.ai) as a free AI API provider in any OpenAI-compatible client — Cursor, Continue.dev, Claude Code, VS Code Co

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

The Boring query platform - Connect and query anything

Qworld: Question-Specific Evaluation Criteria for LLMs

Enterprise-grade sovereign AI for organizations where SaaS AI isn’t an option.

Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel

Official implementation of the EMNLP 2023 paper "R2H: Building Multimodal Navigation Helpers that Respond to Help Requests"

MCPs for Riksarkivet open APIs. This covers both agents and mcps

Local RAG system with a built-in governance agent that filters sensitive or restricted information with separated agent logging systems to keep privacy and security

AI-first reactive state architecture for React and TypeScript — shared observable state for humans, agents, DevTools, and Web MCP.

Open-source AI code reviewer that auto-reviews GitHub PRs LangGraph agents, knowledge graph blast-radius detection, mem0 persistent memory Zero cost, self-hostable.

🐇 The 'RabbitHole' framework provides the tools for asynchronous A2A communication and task management. 📡🐇 ✨ Build powerful AI agents that communicate and collaborate.

The AI Agent framework designed with small teams in mind

The missing open source Kubernetes UI. Topology, event timeline, and service traffic — plus resource browsing and Helm management.

MCP server exposing Radarr as 34 tools for any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor). Manage your movie library in natural language. Stdio + HTTP.

Expedite customer complaint resolution related to network service quality

radio jingle crewai

A powerful, enterprise-grade multi-agent system for advanced radiological analysis, diagnosis, and treatment planning. This system leverages specialized AI agents working in concert to provide compreh

多Agent驱动的实时广播电台 实验性项目

AI-powered multi-agent system for NetDevOps/Security automation

Python LLM-RAG deep agent using LangChain, LangGraph and LangSmith built on Quart web microframework and served using Hypercorn ASGI and WSGI web server.

A self-hosted RAG agent platform for knowledge management, LLM orchestration, and MCP tool integration. 面向知识管理、LLM 编排与 MCP 工具集成的自托管 RAG 智能体平台。

Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

Retrieval Augmented Generation-based Agentic CrewAI

A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimoda

RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery

📺 Full walkthrough video: https://youtu.be/Z_l_T22px3U

This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated docum