Hermes Agent Fundamentals Training Course

Introduction to Hermes Agent

• What is Hermes Agent and how it differs from IDE copilots.
• The self-improving agent concept and closed learning loop.
• Architecture overview: backends, platforms, and tools.

Installation and Setup

• Installing Hermes Agent locally.
• Deploying on Docker containers.
• Remote deployment via SSH, Daytona, Singularity, and Modal.
• Configuring API keys for OpenAI, Anthropic, OpenRouter, and Nous Portal.

Interacting with the Agent

• CLI interface and basic commands.
• Telegram bot setup and usage.
• Discord and Slack integration.
• WhatsApp connectivity.

Built-in Tools

• Web search and content extraction.
• File operations: read, write, edit, and search.
• Terminal command execution and bash scripting.
• Image generation and vision analysis.
• Text-to-speech capabilities.

Persistent Memory

• Cross-session memory with FTS5 recall.
• LLM summarization for long-term context.
• Memory search and retrieval.

The Skills System

• What are skills and how they are created.
• Skill persistence across sessions.
• Community skills and agentskills.io.

MCP Integration

• Connecting to MCP servers.
• Extending tool capabilities programmatically.

Scheduled Automations

• Built-in cron scheduler.
• Setting up recurring tasks and reports.
• Cross-platform delivery of automation results.

Developer Automation Use Cases

• Running terminal commands autonomously.
• Spawning isolated subagents.
• Parallel workstreams and batch processing.

Security and Best Practices

• Approval modes for commands and edits.
• Data privacy on self-hosted infrastructure.
• Environment isolation.

Production Deployment

• Running on a $5 VPS.
• Serverless deployment patterns.
• Monitoring agent health and logs.

Troubleshooting

• Common installation issues.
• Debugging tool failures.
• Memory and performance tuning.

Summary and Next Steps

• Recap of key capabilities.
• Resources for continued learning.
• Transition to advanced Hermes topics.