Art & Design

The Specorator Workflow bundled in a Claude Plugin - spec-driven, agentic development workflow. Specs first, code second.

Automate SaaS service design and development with AI agents running multi-step workflows from PRD creation to full-stack implementation.

Evolutionary agent framework that captures failures as pain signals, distills them into reusable principles, and applies learned wisdom to avoid repeating mistakes — built as an OpenClaw plugin

🛠️ Build and explore multi-agent workflows in LangChain with a user-friendly UI for deep research and monitoring AI agents.

🚀 Build and manage multi-agent workflows in Azure AI Foundry using Python for streamlined orchestration and enhanced project control.

Hands-on examples for the NVIDIA NeMo Agent Toolkit (NAT) with Ollama as local inference backend - ReAct agents, custom Python tools, and multi-agent orchestration patterns on a single GPU workstation.

Build production-ready OpenClaw AI agent recipes for self-hosted, multi-channel gateways with configs, Docker Compose, and deployment patterns

Build and manage AI agents to automate data research, track markets, and run multi-agent workflows with an open-source framework.

ProjectScylla is a testing and optimization framework inspired by Odysseus’ trials, built to measure and improve agentic workflows under constrained decision-making. It evaluates resilience, adaptability, and trade-offs, ensuring agents optimize outcomes in complex environments.

Terminal-first AI workspace with coding agents, workflows and built-in web UI.

A tremendous feat of documentation, this guide covers Claude Code from beginner to power user, with production-ready templates for Claude Code features, guides on agentic workflows, and a lot of great learning materials, including quizzes and a handy "cheatsheet". Whether it's the "ultimate" guide to Claude Code will be up to the reader :)

Go SDK for building Gibson agents, tools, and plugins

CLI tools for Claude Code — Twitter, Google Workspace, Image Generation

Practical macOS dotfiles for keyboard-driven workspaces, a compact desktop UI, terminal tools, and local AI prompt/agent workflows.

Build Anthropic SDK apps with cost tracking, policy checks, and agent tools in one Python framework

Build paid APIs, agents, tools, and data feeds on the DNA x402 hosted rail

CubePi — An async-first Python agent kernel inspired by Pi, built for coding agents, tools, and continuous sessions.

Curate and explore a comprehensive list of Chinese AI agents, tools, and resources for development and research in artificial intelligence.

Anvia is a TypeScript runtime for building provider-agnostic agents, tool workflows, and structured extraction inside your application code.

An advanced Artificial Intelligence (AI) example of a Retrieval-Augmented Generation (RAG) Next.js web app with agents (tools)

AI-powered analytics platform that transforms natural language business questions into SQL queries, statistical insights, interactive visualizations, and executive reports using LLMs, RAG pipelines, and agentic workflows. Built with FastAPI, PostgreSQL, AI agents, and production-grade MLOps practices.

End-to-end Microsoft Foundry agent reference: in-process Agent Framework agents, Foundry hosted agents, PromptAgents, multi-agent workflows with HITL, Fabric Data Agent + Databricks integration, React ops dashboard. One-command azd up deploy.

Hands-on projects and experiments focused on building AI agents, workflow automation, and intelligent systems using n8n, AI, RAG, and related technologies.

TinyFlow is a lightweight, extensible, and provider-agnostic Python framework for building LLM agents. It provides a clean abstraction layer over major LLM providers (OpenAI, Anthropic, Gemini), embedding models, and vector databases, enabling you to build complex agentic workflows with ease.