Best Multi-agent AI skills

TradingAgents is a multi-agent framework for building and testing financial trading strategies using large language models (LLMs) in Python

CrewAI enables the creation of autonomous AI agents that collaborate to solve complex tasks by role-playing and working together seamlessly.

Omnigent is a framework that allows startup founders to swap AI agent harnesses without rewriting code, enabling real-time collaboration and policy enforcement across various agents.

Langroid streamlines AI development by harnessing large language models (LLMs) within multi-agent systems, allowing for more efficient and scalable AI development

LazyLLM allows founders to easily build and deploy multi-agent large language model applications with minimal setup and configuration

AIWriteX is an automated content creation tool for WeChat and other platforms that uses AI to generate and publish articles, including trending topic analysis, article collection, and one-click publishing.

VideoClaw is an AI-powered tool that automatically generates videos based on user input, allowing founders to create films by simply chatting an idea

CrewAI-tools extends the capabilities of CrewAI agents, allowing developers to enhance their multi-agent systems with additional features and functionalities.

Enables cross-vendor messaging for CLI AI coding agents, allowing tools like Claude Code, Codex, Gemini, and Copilot to communicate with each other

Crewai-experiments allows you to run experiments with local models as well as models available through an API, specifically for multi-agent systems in Python

Avernet is a platform that enables the coordination and execution of multiple agents in a distributed environment, allowing them to live, connect, coordinate, execute, and evolve together.

Zhikuncode is an open-source alternative to Claude Code/Cursor that allows teams to program collaboratively through a web browser or CLI, with support for multi-agent collaboration and native connection to large models like Thousand Questions and DeepSeek.

Turbo provides a composable development process for startup founders, allowing them to harness the power of modular skills for agentic coding

CrewAI-Visualizer provides an interactive user interface for the CrewAI package, allowing users to visualize and interact with multi-agent systems.

CrewAITest allows you to build multi-agent cooperative applications with CrewAI and FastAPI, supporting various models like GPT, domestic large models, and Ollama local large models, and exposes them as API services.

Alphora helps founders build AI agents for multi-agent systems, providing a production-ready framework in Python to compose and deploy AI agents

LLM-TradeBot is a multi-agent AI trading system that uses Large Language Models (LLMs) to optimize trading strategies and adapt to market conditions in real-time.

Streamlit UI for crewai enables founders to launch and manage business products using a multi-agent system with a user-friendly interface

CrewAI is a multi-agent framework that enables the creation of hierarchical agents for complex decision-making tasks, allowing founders to model and simulate real-world systems with multiple interacting agents.

World-Forge-AI creates self-evolving maps and stories by simulating multi-agent interactions, allowing founders to build dynamic and immersive AI-driven games and simulations.