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🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archite…
📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage
AGENTS.md — a simple, open format for guiding coding agents
🚀 The fast, Pythonic way to build MCP servers and clients.
A Pokémon themed progress bar for IntelliJ IDEA.
OWASP Juice Shop: Probably the most modern and sophisticated insecure web application
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
⚡ Dynamically generated stats for your github readmes
🚀 PR Agent - The Original Open-Source PR Reviewer. This repo is not the Qodo free tier! Try the free version on our website.
Curated list of project-based tutorials
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A high-performance observability data pipeline.
🧙♀️ Move Fast and Break Nothing. End-to-end typesafe APIs made easy.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
Chamilo is a learning management system focused on ease of use and accessibility
Machine Learning Tutorials in the form of Jupyter Notebooks written in Python 3.
A curated list of web3Security materials and resources For Pentesters and Bug Hunters.
A Gradle plugin to apply ktfmt to your builds, and reformat you Kotlin source code like a glimpse 🧹🐘
An anti-bikeshedding Kotlin linter with built-in formatter
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Compilation of high-profile real-world examples of failed machine learning projects
Fancy stream processing made operationally mundane