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

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.

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

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.

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

⚠️ RUN the FIRST WORKFLOW ONLY ONCE

This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.

RAG PDF langchain

Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.

This template quickly shows how to use RAG in n8n.

RAG with LangChain GenAI Any url

Execution video: Youtube Link

Try it out

Overview

Workflow based on the following article.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

基于ragflow二次开发的后台管理系统，可以独立运行，支持批量管理知识库、聊天、智能体、用户等，解决ragflow在后台管理上的痛点。

RAGflow at your GenAI flows - for expert-knowledge access based of complex documents

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec

Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and

Remote Agent Invocation Layer

A passenger contact management solution for UK Train Operating Companies

Detect and prevent fraudulent rail compensation claims

Agentic AI platform transforming passive CCTV into proactive railway safety intelligence. Real-time behavioural detection (suicide risk, pickpocketing) via YOLOv8 + BiLSTM + multi-agent reasoning — ze

Set of instructions for your favorite AI agent (e.g. Cursor, Copilot, Claude, etc) for a "DHH-driven" Ruby on Rails development philosophy.

Railyard is a multi-agent orchestration system for AI-driven software development, coordinating planning, execution, and verification across isolated git tracks.

Raindrop MCP Server

🛡️ RakshaQuant - AI-powered paper trading for NSE using LangGraph multi-agent orchestration. Features 4 LLM agents, learning feedback loop, LangSmith observability & risk guardrails. Built with Groq,

Rallies is an AI powered investment research tool

A configurable Bash/PowerShell loop that runs an AI coding CLI with a fresh session each iteration

Autonomous AI development loop for Claude Code with intelligent exit detection

A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.

Ralph Loop Optimizer: an AI-driven framework that turns any evaluatable codebase into a self-improving optimization loop for strategies, models, prompts, and workflows

Enable Codex to run objective-first autonomous loops with mandatory review and optional verification for long-running task completion

Create viral videos with AI agents

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.

Open-source semantic firewall policies for autonomous AI agents. Pre-calibrated guardrails that block prompt injections, data exfiltration, and destructive commands before tool execution. Part of the

A pytest-native safety and security testing framework for agentic AI applications