A opnionated Multi-agent Framework.
<div align="center"> <img src="https://dustland.github.io/vibex/logo.png" alt="VibeX Logo" width="120"> <h1 align="center">VibeX</h1> </div> <p align="center"> <b>An open-source framework for building autonomous AI agent teams.</b> <br /> <a href="https://dustland.github.io/vibex"><strong>Explore the docs »</strong></a> <br /> <br /> <a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.11+-blue.svg" /></a> <a href="https://github.com/dustland/vibex/actions/workflows/pypi.yaml"><img src="https://github.com/dustland/vibex/actions/workflows/pypi.yaml/badge.svg"/></a> <a href="https://pypi.org/project/vibex/"><img src="https://img.shields.io/pypi/v/vibex.svg" alt="PyPI version" /></a> </p> VibeX provides the backbone for creating, orchestrating, and observing sophisticated multi-agent systems. It moves beyond simple agent-to-agent communication to a robust, task-driven framework where teams of specialized agents collaborate to achieve complex goals. ## ✨ Key Features Based on a refined and modular architecture, VibeX is built around a few core concepts: - **🤖 Multi-Agent Teams**: Define teams of specialized agents in simple YAML files. Each agent can have its own role, tools, and configuration. - **🗣️ Natural Language Orchestration**: Agents hand off tasks to each other using natural language. A central `TaskExecutor` interprets these handoffs and routes work to the appropriate agent, enabling complex, dynamic workflows. - **🛠️ Secure & Extensible Tools**: Tools are defined with Python decorators and their schemas are automatically generated. Shell commands are executed in a secure Docker sandbox, providing safety and isolation. A flexible `ToolExecutor` manages the entire lifecycle. - **🧠 Stateful & Context-Aware Memory**: Agents maintain long-term memory, enabling them to
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