AI Agent Skills

Coordinate multi-agent teams for software and product work

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Essential skills for autonomous agents

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

AnyCrawl 🚀: A Node.js/TypeScript crawler that turns websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc. Native multi-threading…

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Harness LLMs with Multi-Agent Programming

Easiest and laziest way for building multi-agent LLMs applications.

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider…

Multi-framework streaming Markdown renderers for AI apps: Vue/Nuxt, React/Next.js, Svelte, and Angular, with Mermaid, KaTeX, Shiki, Monaco, safe HTML, and low-jitter upd…