A Collection of Pydantic Models to Abstract IRL
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Updated
Dec 10, 2025 - Python
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.
🚀 Epic React by Keny C Dodds Summary Repository ⚛
🤖 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.
🤖 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
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
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.
How to build AI agents for genomics
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.
A self-reflective LLM agent with tools, memory, and reasoning built using LangChain + ReAct + Reflexion. Modular FastAPI backend + Streamlit UI.
🤖 Simplify system administration with an AI agent that interprets natural language, executes commands safely, and analyzes results efficiently.
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