Hermes Agent Tutorial 1: First 5 Minutes — Installation and Quick Win
Install Hermes Agent in 5 minutes and get your first response. Covers the quick install script, setup wizard, model selection, and verification. No prior knowledge required.
Install Hermes Agent in 5 minutes and get your first response. Covers the quick install script, setup wizard, model selection, and verification. No prior knowledge required.
Hermes Agent's memory system creates persistent knowledge across sessions via Honcho dialectic user modeling. Learn about memory nudges, cross-session recall, FTS5 search, and managing your agent's memory.
Hermes Agent's skills system lets you create custom capabilities that improve during use. Learn about Skills Hub integration, skill creation workflow, skill anatomy, and self-improving skills.
Deploy Hermes Agent to Telegram, Discord, Slack, WhatsApp, or Signal. Learn gateway architecture, platform setup steps, voice transcription, cross-platform continuity, and security configuration.
Master Hermes Agent's terminal interface: CLI entry points, TUI features, keybindings, slash commands, personalities system, and session management.
Configure multiple LLM providers for Hermes Agent: Nous Portal, OpenRouter, z.ai, Kimi, MiniMax, OpenAI. Learn model switching, cost optimization, and custom endpoint setup.
Deploy Hermes Agent on local, Docker, SSH, Daytona, Singularity, or Modal backends. Learn serverless persistence, GPU cluster options, and hybrid deployment strategies.
Set up automated tasks with Hermes Agent's built-in cron scheduler. Learn natural language scheduling, platform delivery, task types, and schedule management.
Extend Hermes Agent with MCP servers for database access, web scraping, file systems, and custom tools. Learn Model Context Protocol basics, popular integrations, and custom MCP development.
Hermes Agent is a self-improving AI agent built by Nous Research. It creates skills from experience, improves them during use, maintains persistent memory, and runs on Telegram, Discord, CLI, or cloud infrastructure. This series covers installation, memory system, skills, messaging gateways, multi-model configuration, and advanced integrations.