Python agents

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.

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.

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

Custom OpenClaw skills — multi-agent workflows, CrewAI, AutoGen, HuggingFace, dev workflows

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.

🛡️ The CrowdStrike for AI Agents — Runtime protection, threat detection & security monitoring for LLM agents. Supports LangChain, CrewAI, AutoGen, OpenAI. Python • JS • Rust • Go • Ruby • .NET

ThreatScope analyzes codebases the way a pentester would identifying vulnerabilities, logic flaws, and attack paths before attackers find them.

AI agent governance layer — sign, monitor and control every agent action. EU AI Act · ANSSI · NIST ready.

Examples of using AutoGen agents and agentic frameworks. Requires Docker container.

Your personal AI blogger.

An intelligent interview simulation system powered by AutoGen and OpenAI GPT models. This project creates an interactive interview experience with multiple AI agents playing different roles in the interview process.

Magentic-one AGENTIC workflow system for InsurTech @Insur.Cap

Investigating the usefulness of "AutoGen" by Microsoft. AutoGen is a framework for simplifying the orchestration, optimization, and automation of LLM workflows. This repository contains experiments testing multi-agent coordination, task delegation, and performance benchmarks.

AI Agent for Data Analysis

AutoGen Agents Creation and Testing - VibeCoded by a real developer to enable more people to do stuff using vibes.

A chess face-off between AI Agents using AutoGen. Visualize every move and watch AI vs AI, turn by turn.

AutoGen Magentic-One Sample with security best practices.

AutoGen Practice

Lightweight implementation of the OpenAI open API on top of local models

cohere-lablab hackathon.

A zero-dependency Python decorator that hides internal arguments from LLM tool-calling schemas via __signature__ mutation.

Rumi GPT is a chatbot built using LLM that provides Rumi quotes to help motivate and inspire you 😇

To examine, interpret and analyze the details and evidence you want from crime files

Unleash potential utilities of LLM models with Llama Index

A FastAPI-based application that combines a Retrieval-Augmented Generation (RAG) system with an intelligent agent for enhanced information retrieval and query handling.

A simple API chatbot that uses LlamaIndex and LlamaParse to read custom PDF data.

A supercomputer simulated by a large language model provides you with a comfortable experimental experience. NOTE: DON'T PUT TOO MUCH FAITH IN NUMERICAL RESULTS.

Create LLM-powered webapps with ease

Query on Videos from YT by providing the URL Drop a YouTube URL, and I’ll handle the rest: - QA on the video - Timestamps & frames for answers - Precise answers delivered

There is a new, more advanced solution in here: https://github.com/hanit-com/azure-openai-conversational-chatbot.git.

This repository is dedicated to the daily research and practical application of AI technologies, especially those revolving around Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems.

In the project, I will build a mental health consultation system for users based on the DSM-5 data set, using the Llamaindex framework. After consulting the user, the system will compile statistics through the conversation.

Advanced RAG chat with PDF

A simple FASTAPI chatbot that uses LlamaIndex and LlamaParse to read custom PDF data.

An open-source tool using Neo4j-backed knowledge graphs for chatting with your documents

A RAG demo using LlamaIndex that allows you to chat with your uploaded PDF documents

The serialization engine for LLM agentic workflows. A drop-in Python/Rust replacement for JSON that mathematically reduces context window bloat by 44% and deserializes 3x faster. Built for multi-agent swarms, RAG memory, and AI orchestration.

Multi-Agent Grid Environment (MAGE)

Risk-gated autonomous trading with Darwinian strategy evolution, HMAC-signed execution, forward Monte Carlo simulation, reflexivity detection, and multi-exchange orchestration across 5 exchanges. 1,374 tests, security-hardened, production-ready.

A Jupyter Notebook applet to teach and explore Multi Agent Reinforcement Learning - the Nash Q Learning. "Multi agent systems" project @ PoliMi

A compact, polyglot MCP add-on for Claude Code that lets Claude confer with GPT, Grok, Gemini, Mistral, Groq, and DeepSeek — to reason, debate, plan, and peer-review. One config and bounded limits on rounds, tokens, and time.

Cooperation and Exploitation in LLM Policy Synthesis for Sequential Social Dilemmas

少数派博弈的一个简明Python3实现

Launch Cisco NSO beyond traditional automation. Multi-agent intelligence via AGNTCY + visual workflows via n8n = faster deployments, zero drift, & enterprise-scale network operations.

Autonomous scientific discovery CLI powered by local LLM (Ollama). Generates hypotheses, critiques them, searches the web, runs sandboxed experiments, and iterates - using the ADM-3 multi-agent framework. Fully offline. No API keys.

A multi-agent statistical discriminative sub-trajectory mining technique for analyzing the trajectories of multiple agents using SportVU player tracking data from the 2015/16 season.

Welcome! This guide will walk you through running your Swarms Agent in a Trusted Execution Environment (TEE) using Phala Cloud. This setup ensures your agent runs in a secure, isolated environment.

Declarative, JSON-native AI agent framework