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
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
Scholar All-In-One: A research infrastructure for AI agents
Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.
A Minimalistic Search Agent
Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.
Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.
Official repository for Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents
The official repository for the capstone project UpSpace: A Marketplace and Management Platform for Coworking Spaces.
Open-source deep research MCP. Tongyi 30B via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.
ChatGPT Wrapped creation: Data Science grade
Agentic Search, search intelligently
Build 73 ready-to-use Copilot Studio agents for Microsoft 365 with paste-ready instructions and no code required
A Benchmark for Evaluating Agentic Search and Deep Research Discovery, Completeness, and Traversal Depth
Dockerized multi-agent research workspace with Fast/Deep search, SearXNG, and MCP tools.
Stop scrolling through hundreds of resources! 🚀 The Awesome Copilot Guide uses Algolia Agent Studio and Gemini to instantly match your tech stack with the best GitHub Copilot agents, prompts, and skills. Built with Next.js 16 and TypeScript. Get back to coding faster! 💻✨
Become an expert in constructing and refining AI agents. Explore how to create flow-driven applications, employ agentic search methods, and integrate human-in-the-loop systems using the robust components of LangGraph.
Autonomous research agent that runs locally on a Mac via LM Studio. Plans, fetches, synthesizes, and cites — overnight, $0, with real source attribution. Plug in OpenRouter for cloud-grade synthesis when needed.
LLM-LD: Machine-Readable Discovery Protocol for AI Agents — The open standard for making websites AI-agent accessible
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