GitHub agents

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.

A practical guide to saving money and avoiding limits on Claude for developers and consumer users

Community binary patches for Claude Code CLI — unlock hard-coded limitations via Agent Skills

Lightweight local LLM proxy with SQLite cost tracking & interactive model comparison. Unified OpenAI-compatible API for multiple providers.

Claude API 智能转发代理桌面应用 - 多端点负载均衡、自动故障转移、实时使用统计

GitHub Copilot agent skills adapted from Anthropic Claude plugins and OpenAI Codex Skills

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.

Fix text instantly with AI — one hotkey, perfect writing. Supports OpenAI, Anthropic, Ollama, AWS Bedrock.

A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.

Traceprompt is an open-source SDK that seals every LLM call and exports write-once, read-many (WORM) logs auditors trust.

A Go SDK for building AI-powered applications with Large Language Models. Unified, type-safe interface for multiple AI providers.

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

An MCP server to interact with Strava

Local AI Proxy Management Plugin for JetBrains Rider IDE - Configure multiple AI models, control which models are available, and manage API keys securely

Privacy-first Claude Code burn-rate analyzer. Predict weekly limit hits, spot model-swap savings.

🤝 Elevate collaboration with Claude Cowork, an open-source tool that enhances productivity through advanced AI capabilities for coding and digital tasks.

Enhance the LinkedIn user experience with AI

Bridge Claude Code CLI to a REST API. Leverage your Claude Pro/Max subscription as a free API with FastAPI, featuring a built-in Web UI and multi-directory support.

🛠️ Enhance programming workflows with a curated library of agent skills for tasks like code review, debugging, and planning for efficient project execution.

Real-time Claude AI usage monitor for Windows — hover the tray, see your session, weekly, and monthly limits.

Lightweight, local-first LLM gateway for developers. A stable, single-binary unified entry point for all your AI tools and models.

Get notified when Claude Code finishes responding. Sound, notification banner, or both.

🐍 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.

Elenchus MCP Server - Adversarial verification system for code review

Universal Python library for Structured Outputs with any LLM provider

Drop-in fix for OpenClaw — route agents through Claude Code CLI on your Max subscription. No API key, no per-token billing.

your calendar, but yapping. Apple Calendar MCP server for Claude Desktop & Claude Code — 28 voices (Mom, Future-you, Garry Tan, LeBron James, Hilary Hahn, Alan Turing, Confucius, ...) yap on every event using your past calendar memory + web research. macOS-only, local-only, fully reversible.

Spec-driven development for Claude Code. Design docs before code, structured pipeline with quality gates, zero infrastructure.

Programmable runtime for Claude Code with persistent state, context, control flow, and verification.

A Claude Code skill that audits a repository against Anthropic's Claude Code engineering best practices and writes a scored, read-only compliance report.

One command. Your entire Claude Code setup. Done.

Real-time statusline plugin for Claude Code - track GitHub PRs, control music, get smart alerts

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

Transform TypeScript classes into JSON Schema definitions with automatic support for OpenAI, Anthropic, and Google Gemini function calling (tool) formats

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.

Browse, search, and resume Claude Code chat sessions from your terminal.

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

Demo of uv for a streamlined Python package management experience

Flutter web app with LangChain framework for chatting about youtube video context

Slides and resources for HT Media Group NLP Workshop, 2025

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.

RAG framework that combines structured knowledge representation using hypergraphs with efficient response generation via semantic caching.

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 fully local RAG running on your browser - Powered by WebLLM, Voy and Transformers.js

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 RAG Application powered by Llama 3.2b and HuggingFace Embeddings

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.

Dynamic Intelligence Graph (DIG) MCP server for AI coding agents. Persistent code knowledge graph, a code RAG improvement, with hybrid Graph + Vector + BM25 retrieval, agent memory, multi-agent coordination, and impact-scoped test selection. Works with Claude Code, VS Code Copilot, and Cursor.

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.

IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.

Multimodal RAG-Based Product Search Chatbot Using Amazon Bedrock and OpenSearch

Replication for SOTA "Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation"

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.

[Experimental] Open-source RAG System for diverse document types

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。

SOC Analyst Automation using a RAG model integrates a knowledge retrieval system with generative AI to automate SOC Level-1 tasks. It processes server logs, retrieves relevant security insights, and generates accurate responses, enhancing incident analysis, reducing response times, and improving efficiency in handling cybersecurity threats through

An Intelligent SOC Ecosystem that integrates SIEM, SOAR, and SmartXDR to enhance monitoring, detection, and response to cyber attacks. SmartXDR combines OpenXDR tools (Wazuh, Suricata, Zeek, pfSense,…) with AI/ML to reduce false positives, prioritize critical threats, and accelerate incident response, ensuring a more adaptive and effective SOC.

A lightweight, local Retrieval-Augmented Generation (RAG) system for domain-specific Q&A over financial documents. Uses pdfplumber for PDF parsing, sentence-transformers for dense retrieval, and optionally connects to local LLMs (e.g., Ollama + Mistral). Runs on FastAPI with a custom frontend.

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.

This Graph RAG Application is a web-based tool that allows users to ask questions about the Mission Impossible film franchise and receive detailed, contextually relevant answers. By combining retrieval-based methods with generative AI, the application ensures that responses are both accurate and engaging.

Code for the presentation.

A Chrome extension that performs real-time Retrieval-Augmented Generation (RAG) on any webpage. It extracts page content, processes it into chunks, and uses a Flask-based backend to perform vector searches and generate context-aware answers using LLM

Platform for RAG with NASA data for managing data on exoplanets for Nasa Space App Challenge 2025.

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.

Advanced RAG architecture built using Transformers and TensorFlow to enabled credibility score checker for social media posts. Recent articles are web-scrapped from google-news-api using scrapy and stored in MongoDB, their titles are embedded in ChromaDB. This is accessed by LLM using Mistral API key.

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

BigQuery Semantic Search Orchestrator

AI assistant that uses RAG architecture and responds instantly with support from university regulations.

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.

A meta-app, built with Streamlit—supercharged with Snowflake AI—to help Streamlit evolve, one issue at a time.

RAG code sorting search, RAG knowledge organization

A comprehensive collection of RAG (Retrieval Augmented Generation) implementations 📚✨, from foundational concepts to advanced agentic 🤖 and knowledge graph 🌐 RAGs

Baseline replication for paper “EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.”

Production-ready Snowflake RAG system with type-specific chunking