Running Hermes Agent with Local Models on an RTX 3090

Melvin Vivas · X post · 2026-07-14 · Open on X

Topics: AI Agents, Tool Use & MCP, LLMOps, Deployment & Monitoring · Level: intermediate

Summary

The creator installed Hermes Agent on a PC with an RTX 3090 to see how it does with local models. It shows that a consumer GPU can be used to run an agent locally.

Key points

• Hermes Agent can run on a home PC
• An RTX 3090 (24GB VRAM) can run local models as the agent's backend
• Local models avoid sending data to cloud providers

Resources mentioned

• Hermes Agent · tool · github.com · free
  Nous Research's open-source AI agent with CLI, TUI and desktop interfaces. It now supports hands-free activation with a wake word.
  Also in: Inspecting Coding-Agent Traces Live with JSONL Viewer (Codex, Claude Code) (Melvin Vivas on X · notes), Hermes Agent: each bot is its own profile (Melvin Vivas on X · notes), An X research bot built with Hermes (Melvin Vivas on X · notes), Run Your Hermes Agent on Free LFM2.5-2.6B via OpenRouter (Melvin Vivas on X · notes) and 55 more
• NVIDIA RTX 3090 · tool · nvidia.com · paid
  A consumer GPU with 24GB of VRAM, often used to run LLMs locally.
  Also in: Running Qwen3.8-27B EXL3 Locally on an RTX 3090 with 220K+ Context (Melvin Vivas on X · notes)

Try this

• Run Hermes Agent with local models on a consumer GPU