Agentman
Simplifies AI agent development through a Docker-like interface for building, managing, and deploying agents using the Model Context Protocol.
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Agentman is a Docker-like tool designed to streamline the process of building, managing, and deploying AI agents. Utilizing the Model Context Protocol (MCP), Agentman enables developers to define complex multi-agent workflows through an intuitive Agentfile syntax. This allows for the deployment of containerized applications with a single command, making AI agent development more accessible and efficient.
Características Principales
- Declarative configuration using Agentfile syntax
- Support for multi-agent workflows, including chains, routers, and orchestrators
- Built-in support for Model Context Protocol (MCP) servers
- 2 GitHub stars
- Docker-like interface with familiar build and run commands
- One-command deployment for containerized agents
Casos de Uso
- Building content processing pipelines
- Developing data analysis workflows
- Creating customer support systems