Arkloop
干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
What is Arkloop?
Arkloop is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 干净、强大、属于你的 ai agent 平台 --ai agents, without the clutter.
干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx arkloopConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Arkloop
Arkloop is a clean, self-hosted AI agent platform available as a desktop application or headless CLI, supporting multiple LLM providers including OpenAI, Anthropic, and any OpenAI-compatible API. It features intelligent multi-model routing with failover, code execution in sandboxed Firecracker microVMs or Docker containers, persistent conversation memory, MCP and ACP protocol support, and Telegram channel integration for remote access. Power users and developers who want a clutter-free, self-controlled AI agent environment with strong isolation and extensibility through custom Lua-based personas will find Arkloop a well-integrated personal AI platform.
Prerequisites
- macOS, Linux, or Windows operating system
- An API key for at least one supported LLM provider: OpenAI, Anthropic, or any OpenAI-compatible endpoint
- Docker installed (optional, for sandboxed code execution)
- Homebrew installed on macOS (for CLI installation method)
Install Arkloop via Homebrew (macOS/Linux)
Install the Arkloop CLI using Homebrew from the custom tap. This installs the `ark` command globally.
brew install qqqqqf-q/arkloop/arkloopOr download the desktop application
For a GUI experience, download the desktop app directly from the GitHub Releases page for your platform (macOS, Linux, or Windows). The desktop bundle includes the full runtime with no additional configuration.
# Visit: https://github.com/qqqqqf-q/Arkloop/releases
# Download the appropriate bundle for your OSStart the Arkloop web interface
Launch the Arkloop web UI, which provides a browser-based chat and configuration interface at localhost.
ark webConfigure your LLM provider
Through the Arkloop web UI or admin panel, add your LLM provider API key and configure model routing preferences. Arkloop supports priority-based routing with automatic rate limit failover across providers.
Configure Claude Desktop MCP integration
To use Arkloop as an MCP server within Claude Desktop or other clients, add it to your MCP configuration.
{
"mcpServers": {
"arkloop": {
"command": "npx",
"args": ["arkloop"]
}
}
}Set up Telegram integration (optional)
For remote access via Telegram, configure the bot token in the Arkloop settings. This enables sending messages and receiving agent responses through Telegram channels.
# In the Arkloop admin panel, navigate to Channel Adapters
# Add a Telegram bot token from @BotFatherArkloop Examples
Client configuration
Claude Desktop configuration for Arkloop as an MCP server.
{
"mcpServers": {
"arkloop": {
"command": "npx",
"args": ["arkloop"]
}
}
}Prompts to try
Arkloop supports multi-LLM routing, sandboxed code execution, and persistent memory. Try these through the web UI or connected MCP client:
- "Run this Python script in a sandboxed environment and show me the output"
- "Route this code generation task to the most capable available model"
- "What did we discuss in our last three sessions about the API redesign?"
- "Create a custom AI persona for code review with strict style guidelines"
- "Send a summary of today's tasks to my Telegram channel"Troubleshooting Arkloop
`ark web` command not found after Homebrew installation
Run `brew link qqqqqf-q/arkloop/arkloop` to ensure the binary is linked into your PATH. Then verify with `which ark`. If using a non-standard Homebrew prefix, add the Homebrew bin directory to your PATH in ~/.zshrc or ~/.bashrc.
Code execution fails in sandboxed environment
Sandboxed code execution requires Docker to be running. Start Docker Desktop or the Docker daemon before using code execution features. For Firecracker microVM isolation, Linux with KVM support is required — use Docker-based sandboxing on macOS and Windows.
LLM provider routing fails with 'no available providers'
Check that at least one LLM provider API key is configured and valid in the Arkloop admin panel. Verify the key has sufficient quota and the selected model IDs match those available on your account. The alpha status means some routing features may still be in development.
Frequently Asked Questions about Arkloop
What is Arkloop?
Arkloop is a Model Context Protocol (MCP) server that 干净、强大、属于你的 ai agent 平台 --ai agents, without the clutter. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Arkloop?
Follow the installation instructions on the Arkloop GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Arkloop?
Arkloop works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Arkloop free to use?
Yes, Arkloop is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
Arkloop Alternatives — Similar Coding Agents Servers
Looking for alternatives to Arkloop? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
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Goose
★ 45.7kan open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Antigravity Awesome Skills
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Serena
★ 24.5kA coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
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Set Up Arkloop in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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