Overview
Agent TARS is an MCP-enabled multimodal AI agent kernel designed to help LLMs operate across terminals, desktops, and browsers. Built on MCP, the kernel supports mounting MCP Servers to connect to real-world tools, enabling workflows that resemble human task completion. The system emphasizes GUI Agent and Vision capabilities, enabling hybrid browser control via GUI Agent, DOM, or hybrid strategies. It uses an Event Stream architecture to drive Context Engineering and an interactive Agent UI, facilitating protocol-driven data flows and debugging. It provides a quick-start CLI that can run headful or headless, with optional Web UI, and aims to be cross-platform with configuration options and integration with various MCP tools. It is part of the Agent TARS ecosystem with documentation and examples to help developers deploy and connect MCP Servers to automation tasks.
Features
One-Click Out-of-the-box CLI
Supports both headful Web UI and headless server execution, enabling quick setup via npx or global npm installation.
Hybrid Browser Agent
Controls browsers using GUI Agent, DOM, or a hybrid strategy for versatile automation.
Event Stream
Protocol-driven Event Stream powers Context Engineering and the Agent UI for structured data flows.
MCP Integration
Kernel built on MCP and supports mounting MCP Servers to connect to real-world tools.
Who Is This For?
- Developers:to build and extend MCP-enabled multimodal agents and connect to real-world tools via MCP.
- AI Engineers:to explore multimodal LLM workflows with GUI, Vision, and browser automation.
- Product Teams:to deploy automated tasks and workflows using CLI or Web UI.
