Python agents

Modular framework for running Claude agents as cron jobs, services, and scheduled workflows. Slack notifications, cost tracking, and AWS Bedrock support.

AI alignment framework. Nine interdependent theories — CASCADE, AURA, LAMAGUE and six more — each mathematically proven, each converging on the same constants. Banach fixed points. Constitutional invariants. MCP extension for Claude Code. Built by one self-taught researcher. Open. Testable. Human.

korveo — the open-source firewall & flight recorder for AI agents. Local-first, Apache-2.0.

The open-source testing framework for AI agents. pytest-native, async-first, safety-aware.

Conformance test for stateful AI agents. Measures state correctness over time.

The League of Agents (OpenLOA): An extensible orchestration framework for creating personalized AI agents with modular tools and custom interfaces. (智能体联盟 (OpenLOA)：一个可扩展的编排框架，用于通过模块化工具和自定义界面创建个性化 AI 智能体。)

Automatically generate high-quality company research reports.

Platform-agnostic project management system for seamless collaboration between humans and AI agents. Features: Kanban board, REST API, adaptive UI, zero-config agent integration.

Managing Memory in LLMs with LangMem.

AutoTask: a novel LLM framework to execute user commands by exploring and learning from mobile GUI.

Official implementation of the paper "GazeInterpreter: Parsing Eye Gaze to Generate Eye-Body-Coordinated Narrations" (AAAI 2026)

LLM-based agent for in-depth photo/image manipulation

SearchSynth fetches and summarizes web search results using SerpApi and Groq for insightful analysis.

Official Python SDK for FoxNose

NLP server housing intent and NER models as well as an LLM agent with long term memory vector store for Ditto assistant clients.

LLMs to take action and execute the actions.

An experimental LLM Agent to build integrations for you.

🔍 Automate penetration testing with an intelligent agent that organizes security assessments, leveraging local LLMs and Kali Linux for effective exploitation.

两个文件实现的轻量化浏览器 agent。简单、开源、基于 Playwright

A python package for extracting composition-property data from scientific articles for building databases

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories

Portable_TA is a lightweight, OpenAI-compatible LLM service that acts as an always-available AI Teaching Assistant. It provides document-grounded answers using RAG, maintains conversation memory, and integrates easily with tools like OpenWebUI for fast, portable, and intelligent student support.

Outline-Driven Development for Gemini CLI - methodology + skills + agents for Google Gemini coding workflows.

LLMWorkbook is a Python package that integrates Large Language Models (LLMs) with tabular datatypes - workbooks and dataframes for seamless data analysis and automation.

LOAB: A benchmark for evaluating LLM agents on end-to-end mortgage lending operations under real regulatory constraints.

AMI is an AI powered by plug and play Headspaces that define its ability to interact and its responsibilities.

LangChain integration with LINE Bot and Google Calendar link generator

Preserving entities through the integration of knowledge graphs, Llama 2, vLLM, and LangChain.

Gemini-Powered-MultiPDF-Chatbot is a Streamlit application that leverages Google Generative AI Gemini and LangChain for conversational question-answering based on PDF documents. This chatbot allows users to ask questions related to the content of uploaded PDF files.

Production-ready Retrieval-Augmented Generation (RAG) system for PDF question-answering. Built with LangChain LCEL, OpenAI GPT-3.5, and ChromaDB vector store. Features smart chunking, persistent storage, and source tracking. CLI included.

Agentic RAG APP with FastAPI, Ollama and Vue.js UI

AI assistant for biophysically detailed neuronal modelling (NeuroML) and data analysis

Built a FastAPI backend for an AI chatbot with RAG capabilities, supporting website, PDF, and text data ingestion. Implemented FAISS-based retrieval with embeddings and integrated a Groq LLM for context-aware responses.

This project is a chatbot that lets you ask the Viam docs questions to help you in your next Robotics project.

The Code Review Assistant is a simple multi-agent system built using the Model Context Protocol (MCP) and LangChain. Its purpose is to provide automated, preliminary feedback on code snippets, including syntax checking, code explanation, and improvement suggestions. It can be integrated with MCP-compatible clients like Cursor IDE or Claude for Desk

Book Classes and Courts at Bay Club San Francisco and Gateway!

A LLM langchain-based tool for automatically creating a cover letter based on a link to a job posting and a PDF file with the CV.

A GenAI Based CSV File and using OpemAI API and Langchain we get an answer about question that we asked related to that csv file

langgraph-mystic is a LangGraph framework based bot that currently specializes in dream interpretation and fortune-telling. While these are its primary features for now, stay tuned to see what other mystical abilities

Agentic RAG Chatbot using Model Context Protocol (MCP) to answer queries from PDFs, Word, and PPT files.

Scan your LLM-powered applications for authorization gaps, leaked credentials, missing rate limits, prompt injection risks, and other security issues — before they reach production.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

A fully interactive tool designed to streamline your GitHub repository prompt generation process and facilitate RAG (Retrieval-Augmented Generation) workflows

Silvercord offers sentiment analysis on courses & professors, and lets servers compete in solving LeetCode problems with a seasonal leaderboard!

This repository showcases my learning journey in Applied AI, including hands-on projects, experiments, and practical implementations.

A Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models to answer queries based on blog articles.

⚡ From Zero to Monitoring LLMs in 5 minutes ⚡

PromptlicityAI is a platform for storing and managing custom content, enabling users to retrieve knowledge-based responses via API calls. It simplifies AI integration by allowing structured content storage and retrieval without requiring expertise in Retrieval-Augmented Generation (RAG) or complex frameworks.

Code samples from the article "The Essential Guide to LangChain for Beginners"

rag-common-ai-customer

Langchain document loader for Kreuzberg

Knowledge base construction based on langchain, knowledge graph and RAG

CodeNova an Ultimate Gen AI project with multiple features that helps developers to get their job ready and also ensure their to help in production level

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

Full stack LLM application created using React and FastAPI for document chatting

RAG pipeline using LangChain, Gemini pro, Faiss

Llama3 in MongoDB: Conversational QA App with Langchain + Ollama + MongoDB + Streamlit.

WorkwiseAI is an AI Agent framework that pinpoints business workflow inefficiencies and streamlines processes using cutting-edge IBM Granite models.

DocuVisQA(Document Visual Question Answering) is a Python project that leverages Google's Generative AI and Langchain for document processing, text splitting, and question answering. It also supports image processing with Streamlit for interactive UI.

This is a web application that uses large langauge models like openai GPT and langchain to summarize long movie scripts to short useful summary in order to get overview of a screenplay in few minutes. It uses Flask and a Machine Learning algorithms.

Intelligent Document Understanding Machine as an API Service

ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.

FileChat-RAG is a simple Retrieval-Augmented Generation (RAG) system that allows users to ask questions about the contents of various file formats. It extracts text from PDFs, JSON, text files(.txt, .docx, .odt, .md), and code files, then enables interactive conversations using an LLM powered by Ollama.

A simple application for blog content retrieval implemented using RAG as the core technology.

Solution for the Trustii's "Secure RAG System" Data Challenge 2024

AI Agents hands on workshop

AI Todo Agent is an intelligent task management assistant built using LangChain and Anthropic's Claude models. It interprets natural language commands to create, update, or delete to-do items, streamlining your task management process.​

A gpt bot which allows you to chat with multiple pdfs.

🚀 AI-powered financial market intelligence system using Google Gemini, LangChain, RAG & multi-agent orchestration. Real-time stock analysis, sentiment analysis, and ML-based predictions.

Langchain | OpenAI | Train with Custom markdown data

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

Vikky is an empathetic therapist specializing in mental health. she prioritize creating a safe space for people

This project demonstrates the power of AI-driven agents using the LangChain framework. It showcases the development of AI agents that can interact with various tools, perform web searches, fetch real-time information, and take notes autonomously based on voice commands or text queries.

A conversational agent that combines static knowledge (RAG over your docs) with real-time web search using an MCP server.

Runtime containment kernel for LLM agents. Enforces budget, step, retry, and circuit-breaker limits before the model call.

SmartEmail Personalizer automates email personalization and ghostwriting using CrewAI and Groq API's Mixtral Model LLM. It reads client data from a CSV, personalizes emails, and generates drafts efficiently. Ideal for enhancing client communication and engagement with zero cost.

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

An automated FAQ chatbot for an e-commerce platform. Made using LangChain, Gemini Pro, ChromaDB & Streamlit.

Python library designed to protect sensitive data when interacting with third-party LLMs.

React AI Agent with Long-Term Memory and Tool calling

AI-driven document chat app. Engage in dynamic conversations with PDFs using Langchain, ChromaDB, Sentence Transformers, and Streamlit. Gain insights interactively.

A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.

RAG-powered HR policy Q&A bot: query Flykite Airlines employee handbook via natural language. LangChain, FAISS/ChromaDB, OpenAI/Claude. Source attribution & hyperparameter tuning.

RAG-Based PDF ChatBot is an AI tool that enables users to interact with PDF content seamlessly. Powered by Ollama LLM and LangChain, it extracts and provides accurate answers from PDFs, enhancing document accessibility and usability. Perfect for efficient information retrieval.

A conversational Retrieval Augmented Generation (RAG) chatbot built with LangChain, Chainlit, and the Claude API for question-answering from documents.

MedChat - ✨RAG based AI Chatbot🤖 for Indian Medicines 🇮🇳

Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.

Llamas with Degree!

The AI native file format — trust scores, provenance, and compliance metadata that embed into every file your AI touches. pip install akf

Vectify integrates SAP HANA Cloud Vector Engine with Langchain and SAP Generative AI Hub to enhance generative AI use cases like automatic replies and issue deduplication. It demonstrates Retrieval Augmented Generation (RAG) for business context embedding.

Deep researcher using langchain-ollama with deepseek-1.5b model.

End To End Gen AI App Using DeepSeek-R1 With Langchain And Ollama. Released in January 2025, this model is based on DeepSeek-V3 and is focused on advanced reasoning tasks directly competing with OpenAI's o1 model in performance, while maintaining a significantly lower cost structure

A QA Bot based on Retrieval Augmented LLM

This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.

LLM based tool to control UAVs (Parrot Bebop 2)

This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.

This repository contains a chatbot designed to answer questions about the content of PDF documents. It leverages the power of LangChain to extract information from PDFs, OpenAI's API for natural language processing and generation, and Pinecone as a vectorstore.

It is a LLM where we given the links related to the new articles, then it answers the questions based on the content in the link.