agentdock
Provides a secure, controlled local machine, server, and container operating environment for AI agents.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- mcp-github
- Repository
- github.com/uvwt/agentdock
Overview
AgentDock is a standalone runtime that offers AI agents unified, secure, and controlled capabilities for file management, command execution, Git operations, skills, MCP, browser automation, and task execution. It supports coordination across local machines, remote servers, and containers, enabling multi-device workflows within a single conversation. AgentDock does not provide a chat interface or model inference; instead, it focuses on enabling AI agents to operate within well-defined permission boundaries in real environments, returning structured, traceable, and verifiable results.
Capabilities
- ▪Manage multiple computers and servers
- ▪Write code, modify projects, run tests, and manage Git
- ▪Manage VPS hosts, Docker services, reverse proxies, and deployment configurations
- ▪Check logs, processes, ports, and actual running states
- ▪Interact with authenticated web pages and macOS desktop applications
- ▪Connect multiple AgentDock instances and coordinate cross-device workflows
Use cases
Setup
Install from the official package: https://uvwt.github.io/agentdock-docs/docs/getting-started/install
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Which platforms does AgentDock support?
Supports macOS, Linux, Windows, and containers.
How do I connect an AI client?
Use MCP Streamable HTTP to configure the client.
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