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guaardvark/guaardvark

by Various

The self-hosted AI studio: local video, image, music, voice, LoRA training, coding swarms, RAG and screen agents on one GPU, driven from the Studio or by your coding agent (Claude

MCP

guaardvark/guaardvark

Added 21 Sept 2026

#agent-skills #ai #ai-agents #ai-workstation #claude-code #claude-code-plugin #coding-agent #comfyui

Overview

Self-hosted AI studio that runs video, image, music, voice, LoRA training, coding swarms, RAG and screen agents on a single GPU. It can be driven from its Studio interface or by coding agents like Claude Code, Cursor, Codex and OpenClaw through MCP and skills.

Best for

Best for
Developers who want a self-hosted, GPU-local AI studio they can drive from their coding agent

Use cases

  • Run local video, image, music, and voice generation on one GPU
  • Train LoRA models locally without cloud dependencies
  • Connect Claude Code, Cursor, Codex, or OpenClaw to local RAG and screen agents via MCP

How to use

Tested with

Claude Desktop, Claude Code, Cursor, Cline

Notes

Self-hosted AI studio that runs video, image, music, voice, LoRA training, coding swarms, RAG and screen agents on a single GPU. It can be driven from its Studio interface or by coding agents like Claude Code, Cursor, Codex and OpenClaw through MCP and skills.

227 stars on GitHub. Last updated 2026-09-21. Licensed MIT.

Use cases

  • Run local video, image, music, and voice generation on one GPU
  • Train LoRA models locally without cloud dependencies
  • Connect Claude Code, Cursor, Codex, or OpenClaw to local RAG and screen agents via MCP

Pros

  • Consolidates many AI workloads onto a single GPU
  • Works with popular coding agents through MCP and skills
  • Self-hosted for privacy and offline control

Cons

  • Small community at only 227 stars
  • Backed by ‘Various’ vendors, not a single commercial entity
  • Python-based setup assumes technical familiarity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Consolidates many AI workloads onto a single GPU
  • Works with popular coding agents through MCP and skills
  • Self-hosted for privacy and offline control

Cons

  • Small community at only 227 stars
  • Backed by 'Various' vendors, not a single commercial entity
  • Python-based setup assumes technical familiarity
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