Stars
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Modern networking and security platform providing secure access and connectivity to apps, infrastructure, and AI workloads. Connect and protect your users.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for L…
OpenWiki is a CLI that writes and maintains agent documentation for your codebase.
Optimize prompts, code, and more with AI-powered Reflective Optimization
A Terminal-style trading dashboard built entirely on free public market data. No API keys, no subscriptions.
Agent plugin that scaffolds tested, cost-honest cloud infrastructure from a versioned module catalog
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Towards a More Autonomous Agent System
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
One home instead of many subscriptions. Yuvomi is a self-hosted family planner: tasks, calendar, budget, meals, shopping, health and more in one PWA on your own server or NAS. Docker, Podman, TrueN…
An real life implementation of Google OKF addressing deployment and life cycle challenges.
⚡️A native, local-first alternative to Logitech Options+, written in Rust 🦀 — remap buttons, DPI, and SmartShift over HID++. No account, no telemetry.
A browser extension for automating your browser by connecting blocks
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
AutoSwarm: Unify All Your Agents. Break Context Barriers. Watch Them Work Together for You.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Vane is an AI-powered answering engine.
Extract structured data and insights from documents using LLMs and decision models
Agent Executor (AX) is Google's open agentic orchestration runtime
Open-source gym & body-weight tracker, now in the App Store (iPhone + Apple Watch) and as an Android APK. Plan routines, log workouts, see which muscles are trained, import from Strong/Hevy/FitNote…
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
The headless rich text editor framework for web artisans.