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Course Outline

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 skills are 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.

Requirements

  • Basic familiarity with command-line terminals and Linux commands.
  • Understanding of software development workflows.
  • General knowledge of AI and large language models.

Audience

  • Software developers seeking to integrate AI agents into their workflow.
  • DevOps engineers exploring autonomous tooling.
  • Technical team leads evaluating AI agent platforms.
 14 Hours

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