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agentic-ai
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ai-api
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vibex-py
dustland February 12, 2025
18 copies 0 downloads
A opnionated Multi-agent Framework.
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<img src="https://dustland.github.io/vibex/logo.png" alt="VibeX Logo" width="120">
<h1 align="center">VibeX</h1>
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<p align="center">
<b>An open-source framework for building autonomous AI agent teams.</b>
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<a href="https://dustland.github.io/vibex"><strong>Explore the docs »</strong></a>
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<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>
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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
TaskExecutorinterprets 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
ToolExecutormanages the entire lifecycle. - 🧠 Stateful & Context-Aware Memory: Agents maintain long-term memory, enabling them to
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