A Collection of Pydantic Models to Abstract IRL

🤖 Native iOS implementation of the ReAct (Reasoning + Acting) AI agent pattern with SwiftUI. Watch AI think, act, and solve problems step-by-step using OpenAI's GPT models.

TinyAgent brings the core ideas of the original Python library into a lean, zero-dependency TypeScript package. It turns plain functions into LLM-driven tools and lets you chain them together through a simple ReAct-style loop.

Design patterns and reference implementations for autonomous AI agent systems. ReAct, tool-use, memory management, fallback, and multi-agent orchestration.

🤖 An AI-powered DevOps agent implementing ReAct architecture to automate mobile release pipelines (Crash Check -> Perf -> Build -> Audit). Built with LangGraph & Ollama.

Terminal AI agent with ReAct pattern - execute shell commands, run Python, analyze images. Supports Gemini, OpenAI, Ollama.

Example of a high-performance, pluggable AI Agent backend. Features a custom ReAct reasoning loop, production-grade Retrieval-Augmented Generation (RAG) using vector-based similarity search, and MCP-based tool integration. Architected for scalability using the Strategy Design Pattern to swap agentic engines seamlessly.

🚀 Epic React by Keny C Dodds Summary Repository ⚛

AI agents for genomics

Production-ready template for complex AI agents using LangGraph and LangChain. Implements RAG, ReAct, routing, parallelization, and orchestrator patterns with FastAPI backend and PostgreSQL checkpoints

🔎 AI Search Agent powered by LangChain and Llama-3.3 (Groq). Uses ReAct reasoning to perform real-time web, Wikipedia, and ArXiv searches with a transparent Chain-of-Thought UI.

🤖 Intelligent, secure, and multilingual chatbot backend for Lorenzo Maiuri's website. Built with FastAPI, Gemini LLM, LlamaIndex, and MongoDB. Features session memory, tool-calling, and robust security

A scrollytelling visual guide to AI agents and orchestration — 10 patterns, 19 concepts, animated D3.js diagrams. No framework, no build step, single HTML file.

A self-reflective LLM agent with tools, memory, and reasoning built using LangChain + ReAct + Reflexion. Modular FastAPI backend + Streamlit UI.

Intelligent weather agent powered by LLM and MCP protocol. Provides real-time weather data, forecasts and historical information through natural language queries using Groq, LangChain and multi-API orchestration.

AI agent systems skill for Claude Code — ReAct, Plan-and-Execute, reflection loops, Tree of Thoughts, LATS, MCP integration, LangChain/LangGraph/CrewAI/AutoGen/Claude Agent SDK, multi-agent orchestration, evaluation. By TheGEOLab.net

Helping you get started with implementing Agentic AI workflows.

Autonomous security investigation agents with ReAct reasoning and tool calling

Hands-on Agentic AI learning project — ReAct agents, memory systems, evals, and multi-agent architecture. Built as a structured AI PM curriculum.

A comprehensive multi-agent AI system built with LangGraph and Google Gemini. Features specialized agents (Coder, Enhancer, Researcher, Validator), RAG implementation, ReAct pattern, and supervisor orchestration. Includes data analysis, document drafting, and conversational agents with quality validation.