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vram-switcher

GPU coordination for local AI companions on AstrBot / DeepSeek Harness: persona LLM, IndexTTS voice and ComfyUI selfies take turns on one 12 GB card. No proxy.

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GITHUB · launched Oct 26, 2026 · 54 upvotes (top 25%) · 0 views

Niche: gpu infrastructure and developer tools · 129 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • ai-companion
  • astrbot
  • astrbot-plugin
  • comfyui
  • deepseek-harness
  • dsh
  • +8 more

Visit website ↗ Source listing ↗

Could you build this?

Partial The orchestration logic (load and unload models in turn and call service APIs) is codeable, but reliable VRAM management on a single consumer GPU requires careful tuning and understanding of CUDA memory behavior.

What it would actually take: Write a Python coordinator that sends unload and load requests to the LLM, TTS, and ComfyUI services through their APIs, and uses a lock or queue to serialize GPU use. The hard part is measuring real VRAM footprints and avoiding fragmentation or OOM crashes during model swaps. This takes GPU and inference-runtime experience and iterative testing on the target hardware.

Competitors

Other products that read as similar to this one : 562 launches clear the similarity bar, closest 8 shown.

Attention rank: #156 of 563 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 357 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.