reactagent

Multi-agent end-to-end application - General-purpose artificial intelligence agent for multimodal agent collaboration

A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools

ZpAgent - ReAct Agent (ChatBot)Project Built with LangChain 1.2 + LangGraph + FastAPI + Vue 3, this is a ReAct-paradigm intelligent agent that supports SSE streaming output, dynamic multi-tool selection, multi-turn conversational memory, and Human-in-the-Loop tool approval.

A minimal agent kit over OpenAI Chat Completions, OpenAI Responses, and Anthropic. References openai-agents-python and agentscope for API shape; the rest is compressed to four orthogonal layers.

A weather chatbot built using Llamaindex and OpenWeatherMap APIs. This chatbot is capable of answering questions about the weather, comparing forecasts, and finding the closest cities to specified coordinates. It runs locally on your machine using Streamlit.

AI-Trip-Planner is an agentic travel planning app using LangGraph and LangChain for dynamic LLM-driven workflows. It integrates modular tools (weather, places, currency, expenses) and real-world APIs, orchestrated via a graph-based agent, with FastAPI and Streamlit for a seamless, production-ready AI experience.

ReAct-based AI agent using LangGraph for GAIA benchmark evaluation. Handles audio/video transcription, web search, file analysis, and complex reasoning chains. Achieves autonomous execution on real-world assistant tasks with 15+ specialized tools.

3 种经典范式（ReAct / Plan-and-Solve / Reflection）+ 带 RAG 知识库、跨会话记忆、MCP 工具的 ChatAgent。

This repo explain DSPy library with different examples.

This project implements a RAG based assistant designed to provide information about "Chez The Daily Dish" restaurant.

Built a ReAct agent with 3 tools: web search, calculator and file reader using langchain with memory

FastAPI service that answers questions about Git repositories through a LangGraph ReAct agent.

This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.

Implementing Agentic patterns from scratch with pure python and groq client

ReAct-Agent-With-Tools enhances language learning with AI-driven search and image generation, running seamlessly in a Dockerized environment.