"VideoRAG: Chat with Your Videos"

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

Build resilient language agents as graphs.

Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

mcp server for gitingest

✨ A extension can help you open git ingest to turn any git repository into a prompt-friendly text ingest for LLMs.

Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase

UltraRAG 2.0: Less Code, Lower Barrier, Faster Deployment! MCP-based low-code RAG framework, enabling researchers to build complex pipelines to creative innovation.

ToolHive makes deploying MCP servers easy, secure and fun

🦄🦄🦄AI赋能股票分析：AI加持的股票分析/选股工具。股票行情获取，AI热点资讯分析，AI资金/财务分析，涨跌报警推送。支持A股，港股，美股。支持市场整体/个股情绪分析，AI辅助选股等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。

Dingo: A Comprehensive AI Data Quality Evaluation Tool

Kronos: A Foundation Model for the Language of Financial Markets

Financial data platform for analysts, quants and AI agents.

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.

A lightweight, browser‑first tool for designing well‑structured AI prompts with a clean UI, live previews, a local Prompt Library, and optional Gemini‑powered prompt optimization.

Next Generation Agentic Proxy for AI Agents and MCP servers

"RAG-Anything: All-in-One RAG Framework"

[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Build, evaluate and train General Multi-Agent Assistance with ease

一个基于Flask的ETF网格交易分析工具，帮助投资者进行ETF网格交易策略分析和回测。

AgentScope: Agent-Oriented Programming for Building LLM Applications

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

Tool to work with arXiv, provide LLM with ability to search and read papers from there

Qwen DianJin: LLMs for the Financial Industry by Alibaba Cloud（通义点金：阿里云金融大模型）

A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

LangGraph template for a simple ReAct agent, with MCP tools support and robust test suites.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

mcp-use is the easiest way to interact with mcp servers with custom agents