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
Airgapped closed-corpus QA loop: a self-hosted Qwen3.6 agent explores a .zip dataroom under a token budget with local tools
Task-plan driven SEO and LLM-friendly website skill cluster
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.
Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.
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.
A novel RL framework designed to cultivate dynamic self-awareness that precisely regulates search behavior without compromising accuracy.
A self-hosted knowledge broker for homelabs. Routes and fuses queries across Kiwix, FreshRSS, Open-Meteo, SearXNG, Uptime Kuma, and Home Assistant — and tracks what changed over time. REST API and MCP server, integrates natively with Open WebUI and Home Assistant.
ChatGPT Wrapped creation: Data Science grade
Agentic Search, search intelligently
Open-source UI orchestration workflow for motion-aware frontend work, browser validation, and AI coding agents.
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.
Official Google docs (Search/SEO, Search Console, Ads, GA4) as a validated local knowledge base (English) + two Claude Code skills: cited retrieval and a multi-agent SEO audit. Reproducible, measured (92% recall@5).
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