A simple ReAct agent that has access to LlamaIndex docs and to the internet to provide you with insights on LlamaIndex itself.

A pure Python implementation of ReAct agent without using any frameworks like LangChain. It follows the standard ReAct loop of Thought, Action, PAUSE, and Observation. The agent utilizes multiple tools, including Calculator, Wikipedia, Web Search, and Weather. A web UI is also provided using Streamlit.

React AI Agent with Long-Term Memory and Tool calling

An AI-powered investment analysis tool 📈 that leverages simple ReAct AI agent flow framework and financial analysis techniques to provide comprehensive portfolio insights. This intelligent agent helps investors make data-driven decisions by offering deep portfolio risk assessment, stock profiling, and personalized recommendations.

A minimalistic approach to building AI agents

LLM OSINT is a proof-of-concept method of using LLMs to gather information from the internet and then perform a task with this information.

multi agent orchestrator

This repository contains a Python application using LangChain to create a multi-agent system for answering queries with Yahoo Finance News and Wikipedia

This project implements a travel chatbot powered by the RAG (Retrieve and Generate) chain, providing real-time information retrieval using various tools and the ability to fetch weather reports.

Effortlessly create functional documentation with AI and integrate directly with Jira. Generate, refine, and export User Stories to your Jira project in just a few clicks! 🚀

From-scratch implementation of a ReAct agent using LangChain, showcasing manual control over tool invocation, prompt design, and reasoning loop without relying on built-in abstractions.

A pure Python implementation of ReAct agent without using any frameworks like LangChain. It follows the standard ReAct loop of Thought, Action, PAUSE, and Observation. The agent utilizes multiple tools, including Calculator, Wikipedia, Web Search, and Weather. A web UI is also provided using Streamlit.

All projects done for LangChain - Develop LLM powered applications with LangChain Udemy Course

FOXO Agentic RAG assistant for document QA, weather-food tips, Fitbit CSV, life & nutrition.

🕵🏻‍♂️ LangGraph-powered AI agent tackling GAIA Benchmark tasks, built for Hugging Face Agents Course.

Tento projekt obsahuje jednoduchého AI agenta postaveného na frameworku **LangChain**, který komunikuje přes OpenAI LLM (model `gpt-4o`). Agent používá nástroje (tooly) pro vyhledávání na české Wikipedii, jednoduchou kalkulačku a aktuální počasí přes Open-Meteo API.

Conversational Agent for YouTube Video Exploration: A conversational assistant that uses YouTube video transcripts to answer questions, provide summaries, and highlight key moments with timestamps. Ideal for efficiently navigating and understanding video content.

React&RAG Llama Crew is an AI-powered system using LlamaIndex, RAG, and Hugging Face embeddings for code retrieval, analysis, and generation. A multi-agent crew—Llama3.2, CodeLlama, Ollama, and ReActAgent—handles queries, documentation, and structured code generation. 🚀