Python agents

Multi-session orchestration for Claude Code. Monitor, auto-approve, block, and send tasks across terminals.

AI-powered WSQ courseware generation platform built with Claude Agent SDK and Streamlit. Automates creation of Assessment Plans, Facilitator Guides, Learner Guides, Lesson Plans, Assessments, Slides, and Brochures for Singapore training providers.

Find the MCP schema issues eating your context window. 156 checks. Grade A+ through F. ESLint for MCP.

AI-powered QA & security analysis CLI for any stack — scans web apps, source code, and APIs for vulnerabilities, quality issues, and performance problems. Powered by GPT, Claude, or Gemini.

MediTech is an innovative AI-driven Electronic Medical Record (EMR) system designed to streamline and enhance clinical documentation for medical professionals.

Role-based AI marketing copilot for Claude Code. Clone, run /start-copilot, and the wizard fetches your site, builds your brand doctrine, wires your tools, and hands you a ready-to-use copilot. Sonnet 4.6.

A panel of AI personas that debate your decisions inside Claude Code. 3 rounds, one user-centric synthesis, full debate recorded to a markdown file.

Production-grade, multi-tenant chat service with FastAPI + WebSockets, OpenAI/Anthropic orchestration, semantic caching, and K8s/IaC deployment, Includes observability (Prometheus/Grafana/Jaeger), FinOps cost tracking, and DR runbooks.

Tiered memory for AI — episodes, facts, preferences, reflections. Local. Portable. Yours.

An MCP server to interact with Strava

Enhance the LinkedIn user experience with AI

🐍 Django-native AI SDK — agents, tool calling, streaming, 12+ providers

A terminal-native, multi-provider intelligent assistant that plans, executes, and tracks developer tasks, not just answers prompts, similar to Claude Code and Gemini CLI.

Universal Python library for Structured Outputs with any LLM provider

Your own AI radio station, native to Home Assistant. Two Italian hosts who riff on what your home is actually doing.

AI-powered firewall log analysis platform. Upload Cloudflare/nginx/Apache logs, get OWASP-categorized threat reports with PDF export.

AI-powered documentation RAG system with MCP server for Claude Code. Search and retrieve technical documentation on-demand with vector embeddings and smart web scraping.

An AI-powered document assistant with multi-model retrieval system

Demo of uv for a streamlined Python package management experience

A Retrieval-Augmented Generation (RAG) based multilingual chatbot specialized in nutrition & diet planning. It combines powerful NLP models with a curated nutrition knowledge base to provide personalized diet recommendations, meal plans, and fitness tips based on user input (age, weight, activity level, health goals, dietary preferences).

Smart Search with GenAI is an AI-powered semantic search tool that delivers context-aware, summarized answers to natural language queries over structured data. It leverages Streamlit, FAISS, and Azure OpenAI for efficient vector search and LLM-based summarization.

Self-evolving RAG that automatically adapts knowledge base using evolutionary algorithms

AI academic assistant for UofT students — grade calculator, syllabus parsing, and natural language chat

A Medical RAG based chatbot built using llama2 model🦙.

An entire RAG (Retrieval-Augmented Generation) pipeline library designed to streamline the integration of language models with retrieval systems. ragyphi can extract text, table and image data from your pdf files and uses clever llm-based summarization techniques to augment the extracted data for efficient retrieval.

A Retrieval-Augmented Generation (RAG) system designed to provide answers from the arabic datasets. This project is done on static news archives using RESTful API and a web UI.

An intelligent chatbot that answers questions about your CV using Retrieval Augmented Generation (RAG)

CPU-only RAG stack: PDFs→Docling→Ollama→pgvector. Windows/macOS/Linux. Docker Compose. Graph-aware code search + scanned PDF OCR.

Medical-QA-Chatbot-Using-PySpur-RAG-and-LLMs

A CLI that takes natural language and converts it to bash commands using a local code generation model or a curated prompt-based rule engine.

Pure-Python, zero-dependency RAG memory engine for conversational AI. Retrieves semantically relevant messages from conversation history using two-phase retrieval, TF-IDF + concept-overlap scoring, narrative element extraction, and bidirectional typo correction. No embeddings or vector DB required.

httpie for embeddings. Embed text, images, audio, video, and PDFs from the command line.

A runtime governance, security and execution control layer for Retrieval-Augmented Generation (RAG) systems

An Agentic RAG-powered chatbot delivering intelligent, fact-grounded and context-aware answers for the DIEM Department at the University of Salerno.

A repository for the "NLP with Transformers" course project at Heidelberg University.

A genral RAG Search chatbot, with SoTA RAG techniques such as HyDE, Hybrid retrieval with BM25 + RRF and Cross encoder reranking. Evaluated on the BEIR scifact dataset and compared all the different pipelines i tried along the way

Published PyPI package for ArXiv embedding benchmarks, retrieval evaluation, and scientific RAG experiments.

Open-source machine-readable standard for pharmaceutical SOPs - deterministic, auditable, GxP-aligned

implemented vector similarity algorithms to understand their inner workings, used local embeddding models

API-difycall 是一个轻量级的 Python 项目，用于简化与 Dify API 的交互。Dify 是一个强大的 AI 应用开发平台，本库旨在让开发者能够更便捷地集成和使用 Dify 的各项功能。

Prompt-safety guards as a Python library. TF-IDF, RAG, LLM as a judge pipeline

💬 Engage in continuous chat while dynamically building a JSONL playbook, enhancing insights and strategies with each interaction.

Simple tool for RAG (Retrieval Augmented Generation) applications to be run over locally stored files

This RAG Streamlit app lets users chat with PDF documents using Gemini and Google's generative AI. Upload PDFs, process text, and get intelligent answers to your questions.

The AI-Based Pre-Screening Assistant Bot is an AI-powered technical interview assistant that evaluates candidates using adaptive questioning, real-time feedback, and automated report generation. Built with Streamlit and RAGPipeline, it dynamically adjusts question complexity, tracks candidate performance, and emails interview summaries

EarningsAI Demo is a powerful tool that combines audio transcription, document processing, and AI-powered analysis to help users extract insights from earnings calls and financial documents. Built with Fireworks AI and MongoDB, it provides both a command-line interface and a web application for processing and querying financial data.

RAG agent with SGR, smart indexing and reranking, metadata enrichment, parent document extraction

BigQuery Semantic Search Orchestrator

MCP server for enhancing knowledge base search and retrieval

RAGent Chatbot is a smart AI assistant that combines Retrieval-Augmented Generation (RAG) with a tool-using LLM agent. It can answer user queries using uploaded documents, perform web searches, summarize text, solve math expressions, check weather, and more — all powered by LangChain, Qdrant, and Gemini.

The document normalization engine RAG has always needed. Parse any document, understand its structure, build RAG that actually works.

RAG-optimized documentation and data sources for AI-native development on the Flow network. Ground LLMs in accurate Flow and Cadence context.

A small reranker service using mixedbread.ai reranker model

A project to show good CLI practices with a fully fledged RAG system.

RAG (Retrieval-Augmented Generation) and vector search to transform plain questions into SQL queries, enabling effortless, intelligent conversations with your SQL database.

RAG code sorting search, RAG knowledge organization

Implementation of Retrieval Augmented Generation RAG-based LLM from html web pages

A comprehensive evaluation toolkit for assessing Retrieval-Augmented Generation (RAG) outputs using linguistic, semantic, and fairness metrics

A local RAG pipeline for the Hollow Knight wiki - chat with wiki knowledge using Ollama and Supabase.

🚀 A powerful Model Context Protocol (MCP) server powered by Gemini Embedding 2. Transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents! 🔎✨

Retrieval Pivot Attacks in Hybrid RAG (Vector → Graph)

*Built upon the integration of text, image, and audio modalities, this Multi-modal RAG task follows a structured, step-by-step pipeline to effectively combine and process diverse data sources.*

RAG - Ops: RAG with Operations. We help you to deploy RAG with changing in datasources.

A CLI RAG app for digging through the JFK files.

A quick and simple example for build RAG using LangChain related tools

A system that combines Retrieval-Augmented Generation (RAG), the Claude Sonet 3.5 LLM, and the Pathway framework to analyze financial reports and tables. It ingests data from Google Drive, processes both structured and unstructured formats in real time, and presents insights via a Streamlit-powered interface.

LLM Chatbot-RAG by OpenVINO. The chatbot can read a PDF file and answer to the related questions.

Robust Adaptive RAG algorithm for Lawyers

RAG Evaluation using RAGAS

Llama_RAG_System is a local Retrieval-Augmented Generation (RAG) system that leverages the LLaMA model to provide intelligent answers to user queries by processing uploaded PDFs and fetching relevant web information while ensuring privacy.

A powerful platform designed to simplify the creation and management of Data Contracts, bridging systems for seamless data ingestion

🍔 Automates a food order from a json food menu using Retrieval-Augmented Generation (RAG) with OpenAI and MistralAI.

A chatbot that provides insights into the luxury fashion industry. It uses Cohere API and ChromaDB for efficient document retrieval and dynamic conversation.

Fashion authentication agent: LangGraph + GPT-4o Vision + RAG. Paste an eBay link, get a confidence score.

AI onboarding copilot with RAG, escalation levels, and MLflow LLMOps. FastAPI · Streamlit · LanceDB.

Turn any LLM into a self-extending knowledge agent powered by a graph-structured memory - complete with PDF-to-graph ingestion, budget-aware optimisation, and dual-engine orchestration.

Correct complete RAG -- built for Highway Workflow Engine

Think of ducky as your over-the-shoulder mentor. He watches your codebase and notifies you when you implement bad code. Ducky helps developers to understand code without handing them the complete answer.

🎲 RuleLawyer – An AI-powered assistant that helps you look up and understand board game rules using Retrieval-Augmented Generation (RAG). Upload your rulebooks and ask it anything!

Python asynchronous SDK for managing RAGFlow APIs

ACL Findings 2025 | RaPID: retrieval-augmented long text generation with planning and information discovery.

HealthMate is an AI-powered voice agent that helps users get clear, reliable answers to health-related questions in real time. It combines FastAPI, AssemblyAI, and React with Retrieval-Augmented Generation (RAG) and VectorDB Cloud (Native) for fast and relevant responses.

A 100% offline, multi-agent AI swarm powered by Ollama. Features 5 specialized agents, hybrid RAG memory, and ChatDev integration. Protected by a strict 4-tier safety execution protocol to safely unleash uncensored Protocol 666 and offensive security Hat Mode algorithms.

Automates discovering and categorizing new Neovim plugins with RAG, creating PRs to yutkat/my-neovim-pluginlist.

A self-hosted, privacy-first document ingestion service that captures, processes, extracts metadata, and archives documents to Paperless-ngx.

A modern RAG framework for closed and open source LLMs built as a demo for the startup Brance.

RAG Model used to further improve GPT models to provide accurate, up to date, information to users

OpenAI powered Reddit marketing tool for extracting latest Reddit comments from subreddits, sorted by "Hot", & pinpointing users who exhibit potential interest in your project or product.

Python client for Eclipse RDF4J — interact with RDF4J repositories, execute SPARQL queries, and manage RDF data seamlessly in Python.

Your terminal forgets everything. engram remembers. Ask it questions about past errors, deployments, or any command you've ever run.

Fault-tolerant multi-agent AI architecture: hierarchical agent coordination, edge-cloud hybrid inference, and adversarial chaos testing for systems that can't afford to fail.

RAG Backend for Aleph Alpha LLMs.

基于书生浦语的农业助手

Run. Sip. Repeat. This isn’t just bar hopping—it’s bar running. Let’s make your night legendary.

OutcomeOps: Context Engineering for AI-Assisted Development

The first open-source MCP server for jPOS and ISO 8583. Give AI agents deterministic access to payment protocol expertise.

RAG挑战赛的获胜方案已修改为无需GPU即可运行。使用Mineru和Qwen API进行PDF解析和问答。非常适合在任何机器上学习RAG技术。

SymRAG adaptively routes queries through neuro-symbolic, neural, or hybrid paths based on complexity and system load, ensuring efficient and accurate RAG for diverse QA tasks.