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! 💻✨

LLM-LD: Machine-Readable Discovery Protocol for AI Agents — The open standard for making websites AI-agent accessible

A candidate retrieval system using FAISS over AI-embedded resume data and hard and soft criteria filtering. Outputs results in eval-ready format for private scoring.

Coresignal is a data-as-a-service company providing access to public web data on companies, employees, and jobs through a suite of REST APIs. The platform aggregates and refines more than 4.5 billion data records covering 75M+ companies (with 500+ data fields), 865M+ employee profiles (300+ fields), and 461M+ job postings (85+ fields).