🤖 AI与机器学习 AI 工具

Agentic PE intelligence platform for the Forbes AI 50: Airflow-orchestrated ETL + RAG + structured extraction, wrapped with MCP tools, a ReAct-based supervisor agent, HITL review, and Dockerized FastAPI/Streamlit dashboards.

暂无描述

An intelligent agent using LangChain, Groq, and MCP for memory-enabled conversations.

AGI-Style drug discovery agent using LangChain,MCP Tools(fact_checker,recommmendations) and FastAPI

Integrate an AI chat agent with MCP Server in n8n for dynamic tool execution.

Reasoning-driven, tool-using agent that plans and executes actions across multiple MCP servers. It combines perception (intent/tool selection), planning (single or multi-step), execution (tool calls + sandboxed code), and persistent memory. Includes a local RAG pipeline over your `documents/` folder, web search/fetch tools, and math/utility tools.

AI platform for creating interactive experiments from natural language prompts.

An autonomous AI agent that uses RAG and the Model Context Protocol (MCP) to conduct deep research and generate comprehensive reports on any topic.

AI-powered farming assistant built with LangChain & LangGraph. Orchestrates specialized agents for RAG-based advisory, crop health monitoring, and local market analytics via MCP.

A full-stack Medical AI Assistant System with a multi-agent workforce powered by IBM watsonx.ai.

AI Workforce of the Future - Research Environment

Agent for RAG Evaluation

AI-driven stock analysis system for NSE with multi-agent insights.

Agentic helpers that bridge Gemini/Vertex AI with Cortex MCP tools and XSOAR/XSIAM workflows, plus a Streamlit UI and Slack bot for operators.

AI chatbot using MCP for enhanced LLM capabilities and multi-step tasks.

It is a sample langgraph + MCP agent

Multimodal chat - camera share / screen share / voice bi directional. Wtiz system (agent hand off system, multi task coordination) composio 300+ MCP integrations (in process)

Repository to show how to enter a prompt and a langchain agent will choose the correct tool from an MCP Server

MCPDemo showcases MCP agent with browser automation and Groq LLM for quick responses.

Voice AI Agents and advanced multi-agent systems powered by MCP integration, enabling natural language voice interactions, collaborative task execution across agents, and scalable deployment for complex enterprise workflows.

Agent with MCP Tools and Ollama for GitHub Codespaces integration.

A conversational AI agent using MCP, Google Gemini, and Twitter API.

Delphion is a modular RAG system integrating LLM agents and a Gradio UI.

AI Agent system with tool integration, FastAPI backend, and chat interface. Supports calculator, web search, and code execution via MCP tools with LM Studio integration.

AI clinic chatbot using RAG for doctor info and MCP tools for database lookup, enabling dynamic scheduling and appointment booking.

An autonomous multi-agent system for generating safe, empathetic CBT (Cognitive Behavioral Therapy) exercises using LangGraph, PostgreSQL persistence, and Model Context Protocol (MCP) integration.

A multi-agent e-commerce system built with Google ADK and MCP. Features microservice architecture with A2A protocol communication, enabling customer consultation, real-time inventory lookup, and automated order processing.

LlmLocal ollama+ Full-stack AI chatbot with RAG and (Future Features agent+mcp)

langgraph-mcp sets up a weather server and agent with API integration.

Integrate CrewAI agents with MCP servers for task execution using tools.

we are required to build an agent-based Retrieval-Augmented Generation (RAG) chatbot that can answer user questions using uploaded documents of various formats. Our architecture must follow an agentic structure and should incorporate Model Context Protocol (MCP) as the mechanism for communication between agents and/or agents ↔ LLMs.

An AI weather assistant using DeepSeek and MCP, fetching real-time data from Open-Meteo.

An intelligent math agent using RAG and MCP for step-by-step solutions.

暂无描述

Starter repo for affiliate marketing agent stack (MCP + A2A). Folders: research/, agents/, outputs/, context/.

暂无描述

Docker-based Claude agent orchestration with MCP

Agentic AI day

A Python demo showcasing an interactive AI agent using MCP for web search and Airbnb listings.

暂无描述

This project is a proof of concept for running a local-first multi-agent system using: 🤖 Local LLMs via Ollama 🧩 Simple function/tool-call detection using <tool_call>... 🔍 Brave Search API or optional Brave MCP plugin server 🧠 Two collaborating agents: Searcher and Synthesizer

A multi-agent travel assistant using a centralized MCP server for efficient web searches.

Full-stack AI Chatbot deployment for universities. Includes RAG, secure Code Interpreter, vLLM inference, and educational prompt libraries.

The MCP Trading System is a distributed, multi-agent AI trading simulator that models autonomous trading behavior in a dynamic market environment. The system orchestrates multiple independent trading agents—including LLM-driven, momentum-based, mean-reversion, rule-based, and random strategies—each operating concurrently

Open Agent Platform powered by LangGraph and Arcade MCP Gateway - build AI agents with secure tool access

An intelligent trip planning application built with AutoGen agents and Model Context Protocol (MCP) server. This application uses AI agents to create personalized travel itineraries based on user preferences and real-time attraction data.

This repo showcases two minimal chatbot agents: LangChain Agent: Uses ReAct-style autonomy where the LLM chooses tools and actions. MCP-Style Agent: A deterministic, developer-controlled flow using raw Python and OpenAI. A side-by-side comparison of LLM-driven vs. explicitly orchestrated agent behavior.

A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.

MCP-Server-AI-Agent-X is an AI-driven server for enhanced automation.

Semantic Kernel Agent using MCP Tools