Full Hermes Agent tutorial (Spanish with English auto-translation). Computer Use, MCP Blender, Hindsight memory and multi-agent setup

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Summary

A comprehensive 15-minute tutorial on setting up and using Hermes Agent in production, covering installation, local memory, multi-agent setup, computer use, and Blender integration with MCP, all demonstrated on real hardware.

Spent weeks running Hermes Agent in production on my Mac Mini M4 before recording this. Wanted to show things nobody else was covering. What's in the video: * Full installation and API setup (MiniMax M2.7 with local Qwen 3.5 9B fallback) * Hindsight local memory vs built-in (PostgreSQL-backed fact extraction, no data leaves the machine) * Custom subagents with Profiles * Cron + Kanban for autonomous task management * Native voice mode with Whisper Faster + MiniMax TTS * Computer Use demos: agent browses Safari, creates documents, paints a landscape in Paintbrush without touching the keyboard * Trained the agent to learn Blender before using it (showed it the interface, it built its own skill) * MCP Blender demo: agent built a fantasy floating island and a sci-fi portal from a single prompt The MCP vs CUA difference for Blender was the key insight, CUA clicks blind, MCP knows what tools exist. 15 minutes. Everything working on real hardware, no staging. Link in the first comment.
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NousResearch/hermes-agent

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Hermes Agent is an open-source, self-improving AI agent framework by Nous Research featuring a closed learning loop, cross-platform deployment, and compatibility with hundreds of LLMs. It provides a terminal interface, persistent memory, automated scheduling, and research-ready tooling for scaling AI workflows.