Python agents

Claude Code 중심 로컬 전용 LLM Wiki — 3층 격리 + Neo4j GraphRAG + Obsidian. Karpathy LLM Wiki 원전부터 GraphRAG PoC 까지 11가지 관련 내용 통합. /install 한 줄 셋업, 8 Skills + 5 Hooks + 4 Routines.

About ChatWithDB: Transforming databases into conversational partners using LLMs and Django Rest Framework API. Accepts user input, finds similar database entries, and crafts human-like responses from LLMs. Supports multiple databases.

Implement LangChain RAG to chat with PDF with more accuracy.

Retrieval-Augmented Generation (RAG) system over a code repository for a question-answering task

PipelineAgentService is a large language model (LLM)-based application designed for the automated management of data processing tasks.

A simple Python-based chatbot service using FastAPI, LangChain for embeddings, and PostgreSQL with pgvector for storage.

Este projeto é um chatbot construído com Streamlit e LangChain, que utiliza a técnica de RAG (Retrieval-Augmented Generation) para responder perguntas baseadas em arquivos PDF enviados pelo usuário.

ad-astrAI - multi agent AI tool for detecting elements and molecules from spectral and image data from galaxies far far away.

Production-grade Recursive Language Model (RLM) agent — gives an LLM a sandboxed Python REPL, sub-LLM recursion, vector search, grep, and divide-and-conquer tools to reason over ingested PDFs. Built with FastAPI, LangChain, Qdrant, and OpenRouter.

Python SDK + MCP Server + LangChain Tools for Oasyce — on-chain AI agent economy. pip install oasyce-sdk[mcp]

This is a demo project showing how to build a simple AI powered "Chat with RSS"

Yet another implementation of task-driven autonomous agents

唐诗三百首RAG检索增强生成

This tool is a web application that utilizes Streamlit and OpenAI language models to enable users to interact with website content through a conversational interface. Users can enter the URL of their desired website, pose their questions, and receive precise and relevant answers.

Convert natural language to shell commands directly in your terminal.

AI project on Healthcare emergencies demand immediate and precise intervention. This is quick, accurate and guidance critical in saving lives. This project focuses on AI-powered system specifically designed for healthcare emergencies, enabling efficient, real-time responses through both voice and video calls.

Este projeto foi desenvolvido para oferecer uma introdução prática e acessível ao desenvolvimento de agentes inteligentes utilizando o framework LangChain

A Python-based documentation assistant that uses local LLMs to crawl websites, process content, and provide intelligent Q&A capabilities with source citations.

This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.

Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.

Blazy is an AI assistant to learn about any markdown documentation through a question-answer interface. Blazy-build is the API exposing the model.

Experience seamless document comprehension with 'Online PDF Summarizer App,' featuring the advanced LaMini-Flan-T5-248M model, Langchain, and Streamlit. Effortlessly distill business PDFs, transforming lengthy content into concise summaries for enhanced productivity and insightful decision-making

Give a short description and create an entire scenario!

Script leveraging RAG (Retrieval-Augmented Generation) for Question Answering tasks.

A Django library for seamless LangChain integration, making it easy to add LLM capabilities to your Django applications.

基于LangGraph的智能天气Agent，支持自然语言查询和动态React UI组件生成。

CorpGuide AI Backend: An intelligent HR Policy Assistant powered by RAG, Groq, and LangChain. Features a FastAPI server, ChromaDB vector search, and self-healing database logic for context-aware document retrieval.

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

AIcompanion è un assistente AI modulare sviluppato in Python, progettato per elaborazione conversazionale, analisi documentale e modalità di interrogazione. Integra Flask per l’interfaccia web, LangChain per la gestione del contesto e modelli Ollama eseguiti in locale fornendo un ambiente completo e ottimizzato per workflow AI on-premise.

AI research application

A code sample that shows how to use 🦜️🔗langchain, FAISS and a hosted LLM endpoint to do Q&A about 500+ movies in the Kaggle Rotten Tomatoes Top Movies dataset

📆TimetableGPT use the power of LLM to allow you to ask questions about your timetable and get accurate answers to help you manage it so that no schedule will overlap each other.

Farmers' own virtual farmer

A LLM-powered RAG application designed to answer any query related to the Harry Potter series.

Otodom scraper and information retrieval

A novel approach to mitigating social bias in Large Language Models through a multi-judge pipeline that assesses and filters reasoning steps of DeepSeek-R1.

Learn how to deploy your swarms applications on cloudflare workers

A Chatbot made to go on Discord and OLLAMA

基于本地大模型+RAG的知识库问答系统

Bulk Email Sender with Personalized Content This project is a bulk email sender built using Streamlit and LangChain's ChatGroq model to generate personalized emails for each recipient. The emails are customized based on the client's name and the services they offer, such as E-commerce, Digital Marketing, etc.

This is a basic RAG chatbot made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and OpenAI's gpt-3.5-turbo or Cohere's command-r

Natural Language Query Agent over some web data and some pdf which has conversational memory using Groq Cloud API

Ask-My-Pdf is a user-friendly Streamlit application designed to enhance the way individuals interact with their PDF documents. Whether you're a student, researcher, or professional, this app provides powerful tools to simplify document management.

Explore cutting-edge Q&A capabilities with OocyteRAG, a dynamic platform powered by LangChain and HuggingFace technologies.

This project implements a classic Retrieval-Augmented Generation (RAG) system using HuggingFace models with quantization techniques. The system processes PDF documents, extracts their content, and enables interactive question-answering through a Streamlit web application.

An intelligent document processing system that uses the Model Context Protocol (MCP) to extract, analyze, and route business documents automatically

AlgoAI is a chatbot (RAG) for answering questions about Data Structures and Algorithms. Built with FastAPI, LangChain, and supports OpenAI or Cohere as LLM providers. Includes features like streaming responses, vector storage with Datastax Astra DB, and message persistence using Postgres.

Click Clinic is a one stop Health and Nutrition Gen ai Solution

A Retrieval-Augmented Generation (RAG) chatbot that provides accurate, context-aware responses to hospital-related queries using LLMs and document retrieval.

PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.

Multi-agent PR reviewer on LangGraph — four specialists (security, performance, tests, quality) review in parallel. Self-hostable, model-agnostic. GitHub Action + CLI + Python library.

convert CSV to SQL and use langchain to Question and Answer

In this project, I use LangChain to train a Large Language Model on a custom set of notes. There will be a set of applications in this repository built around this foundation.

Friend AI is an avant-garde application blending the strengths of Django, Angular, Python, and PostgreSQL, meticulously stitched together to redefine user interaction with technology. Our AI-driven platform offers a unique approach to extracting, understanding, and conversing with content.

Your go-to companion for movie nights 🍿

Simple implementation of RAG using watsonx.ai, capturing the chat history to keep track of the conversation context and answer follow up questions.

This repository features DocTalk, an innovative chat application harnessing the power of LangChain, Groq, RAG, and Gemma models for dynamic interaction with PDF documents. Users can effortlessly upload their PDF files, pose inquiries related to the content, and promptly obtain precise responses extracted from the documents.

App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.

A sophisticated AI-powered doctor appointment management system built with LangGraph, FastAPI, and Streamlit. This multi-agent system helps users check doctor availability, book appointments, and manage their healthcare scheduling needs through natural language interactions.

Military recruitment RAG chatbot with LangGraph query rewriting, question decomposition, hybrid retrieval, reranking, vLLM, and FastAPI.

LLMOps: A production-ready platform for building, deploying, and managing customizable multi-agent AI chatbots. The system leverages modern LLMs, agent frameworks, and search tools to provide interactive, context-aware conversations.

Eui is an automated content creation framework designed to streamline the production of video content. It leverages the Manim library for generating mathematical animations and the Chatterbox TTS model for voiceovers, facilitating the creation of technical videos, such as YouTube Shorts

An audio processing agent that transforms spoken content into polished text and visual representations.

Large Language Model API to analyse and compile product recommendations from the popular subreddit r/buyitforlife.

autonomous agent framework built to detect and mitigate training data poisoning in LLM development. Inspired by the scientific method, the system uses a modular suite of AI agents—hypothesis generators, script builders, critics, and testers—to audit data for adversarial patterns. to improve llm data input. utilizing a crewai framework and eletron

Analyze ZIPs of documents and images, detect duplicates and similarity clusters locally, and generate curation reports through a simple API

spec driven automatic development

This GitHub repository, "AI-Crew-for-Instagram-Post", is a project that aims to provide an AI-powered solution for creating Instagram posts

AI-powered automation for content creation and publishing on LinkedIn

Automated Report-Generation Agent

Knowledge Dungeon is a Streamlit-based quiz adventure where LLM agents generate and check questions, track progress, and guide players through levels.

AI-powered podcast generator for language learners. Creates custom scripts and audio using CrewAI, OpenAI, and TTS.

Code related to the blog post about possible application of agentic workflows in CrewAI for LegalTech.

Exploring AI-driven development with CodeSynthAI: An open-source project leveraging LLMs for automated coding through a collaborative multi-agent system

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

A hands-on workshop template that demonstrates how to orchestrate CrewAI agents for planning, research, writing, and review workflows. The stack combines CrewAI with LangChain tools, a FAISS-backed Retrieval-Augmented Generation (RAG) pipeline, and a Streamlit frontend.

Craft a compelling LinkedIn Post with the help of a Multi-Agentic Architecture personalized for your needs!

6 AI agents collaborate to build complete web applications in minutes. CrewAI-powered software development team that generates FastAPI backends, responsive frontends, tests, and deployment configs - demonstrating 95% automation with human oversight for the final 5%.

FormCrafter is an intelligent multi-agent system that automates the creation of Google Forms based on natural language requirements. Powered by CrewAI, it leverages the collaborative intelligence of specialized AI agents to understand your form requirements and generate professional Google Forms automatically.

The privacy-first memory engine for AI agents. Setup wizard, per-user vaults, smart inbox, natural-language forget, MCP server for Claude/Cursor/Windsurf. Zero API calls. Zero dependencies. Pure Python.

🌍 Automate webpage content audits with GEO Agent Crew, extracting insights and optimization suggestions using cutting-edge AI tools for better online performance.

Winning project for Hack Kosice 2024. Codebase resurrection platform, made as a web app in Typescript and Python, utilizing LLMs

Application for automation of listing of products from social media posts into Amazon selling platform.

CrewAI Multiagent is an AI-powered automation suite for research, news, poetry, code execution, and PDF search. It leverages intelligent agents, web scraping, NLP, and code interpretation to generate reports, articles, and perform data analysis, streamlining automation across multiple domains.

A Streamlit app that helps you generate agent code for CrewAI based on natural language requirements.

Different AI agent implementations using various frameworks and approaches

Learning CrewAI is a Python project that demonstrates the CrewAI framework for building AI-powered agent crews

Deterministic execution boundary for AI agents. IFC enforcement at the sink. 5 frameworks. 50 attack vectors. Apache 2.0.

🛍️ Automate your sales process with an AI-driven multi-agent system that improves efficiency from product inquiries to payment links.

ML.GUIDE is a Multi-LLM Agent System designed to help professionals define, evaluate, and solve machine learning problems. It leverages specialized AI agents for tasks like problem definition, data assessment, model recommendations, research, and code generation. Developed in 17 hours during the AI National Summit (AINS) hackathon on June 9, 2024.

Playground for experimenting with agentic AI tools and frameworks

CrewAI multi-agent stock CLI for China A-shares: Fear & Greed proxy + structured JSON output

Build agents with any framework. Ship them with FastAgentic.

WebBriefs is an intelligent webpage summarizer API that extracts and condenses content into concise, readable markdown format. Perfect for quickly getting the gist of any website

Build a stock analysis agent which builds on the existing Crew AI examples app to do stock analysis of a given stock, get insights, generate markdown reports with charts. This version uses SERPER API, PINECONE, GROQ LLAMA-70B , MIXTRAL-8x7b-32768 and GPT-3.5-TURBO-0125.

CrewAIMaster transforms any task description into a fully functional, production-ready multi-agent system, making advanced AI orchestration accessible to everyone.

Automated LinkedIn post generation for projects using AI agents and CrewAI.

My implementations for "AI for Developers" course assignments, in Python and JavaScript.

ProdSense: Multi-agent product recommendation system powered by CrewAI. Scrapes product details from any product website, discovers alternatives, analyzes community sentiments, and curates YouTube reviews. Outputs tailored Markdown recommendations. Experimental, API-driven, and open for tinkering.