Python AI Multi-Agent MCP Server

Example Use Cases

• 1

  Role-based specialization and memory management.

• 2

  Access and use external tools via MCP servers.

• 3

  Coordinated multi-agent task orchestration and workflows.

Description

This repository provides a framework for building AI assistants that operate as role-based agents with specialized capabilities, memory, and tool access via MCP servers. It supports multi-agent orchestration, workflows, collaboration, event systems, scheduling, resilience features, and persistence. The system enables efficient task delegation, parallel execution, and learning from feedback, making it suitable for complex AI assistant applications.