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Author @Hesamation shows running Hermes Agent and OpenClaw in ~5 minutes using…

2026-06-12 · 17:14 UTC ·@Hesamation ·0 min read

Brief

Atomic Chat enables running agents like Hermes Agent and OpenClaw locally in about five minutes without token costs by pulling and swapping models from Hugging Face. The project is listed as a Local App on Hugging Face (200,000+ open-weight models), and claims performance boosts: Qwen3.6 27B at 2.5× speed with MTP and 6× lower KV memory for longer context with TurboQuant.

Why it matters

Author @Hesamation shows running Hermes Agent and OpenClaw in ~5 minutes using local models and spending $0 on tokens by using Atomic Chat to host agents locally

Key details

  • Atomic Chat can pull 200,000+ open-weight models from Hugging Face, swap models per task, and is listed as a Local App on Hugging Face
  • Performance claims: Qwen 3.6 27B runs ~2.5× faster with MTP, and TurboQuant enables longer agent context with ~6× lower KV memory
Source evidence

This is how to run Hermes Agent and OpenClaw in 5 minutes with local models and spend $0 on tokens. with Atomic Chat you can:
> pull models from Hugging Face
> swap models easily per task
> run Qwen3.6 27B 2.5x faster with MTP
> with TurboQuant, give agents longer context with 6x lower KV memory

Video

atomic.chat (@atomicchathq)

Atomic Chat is now on Hugging Face 🤗

We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from @huggingface directly on your device - private, local, and open source!

Video

— https://nitter.net/atomicchathq/status/2065095100753956870#m