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Course Outline
Introduction to the Hermes Agent
- What is the Hermes Agent and how it differs from IDE copilots
- The concept of a self-improving agent and the closed learning loop
- Architecture overview: backends, platforms, and tools
Installation and Setup
- Installing the Hermes Agent locally
- Deploying via Docker containers
- Remote deployment through SSH, Daytona, Singularity, and Modal
- Configuring API keys for OpenAI, Anthropic, OpenRouter, and the Nous Portal
Interacting with the Agent
- CLI interface and basic commands
- Telegram bot setup and usage
- Integration with Discord and Slack
- WhatsApp connectivity
Built-in Tools
- Web search and content extraction
- File operations: reading, writing, editing, and searching
- 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
- Understanding skills and their creation process
- Skill persistence across sessions
- Community skills and agentskills.io
MCP Integration
- Connecting to MCP servers
- Programmatically extending tool capabilities
Scheduled Automations
- Built-in cron scheduler
- Setting up recurring tasks and reports
- Cross-platform delivery of automation results
Developer Automation Use Cases
- Autonomously running terminal commands
- 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 aiming to integrate AI agents into their workflow
- DevOps engineers exploring autonomous tooling
- Technical team leads evaluating AI agent platforms
14 Hours
