VibeX

An open-source framework for building autonomous AI agent teams.
Explore the docs »

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

Agents

drusilla-py

vibex-py