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Duration 14 hours
Course Outline
Introduction to Hermes Agent
- What Hermes Agent is and how it distinguishes itself from IDE copilots
- The concept of self-improving agents and the closed learning loop
- Architectural overview: backends, platforms, and tools
Installation and Configuration
- Installing Hermes Agent locally
- Deploying within Docker containers
- Remote deployment via SSH, Daytona, Singularity, and Modal
- Configuring API keys for OpenAI, Anthropic, OpenRouter, and Nous Portal
Agent Interaction
- CLI interface and fundamental commands
- Setup and usage of the Telegram bot
- Integration with Discord and Slack
- Establishing WhatsApp connectivity
Native Tools
- Web search and content extraction
- File operations: reading, writing, editing, and searching
- Executing terminal commands and bash scripting
- Image generation and vision analysis
- Text-to-speech capabilities
Persistent Memory
- Cross-session memory utilizing FTS5 recall
- LLM summarization for maintaining long-term context
- Memory search and retrieval mechanisms
The Skills System
- Definition of skills and their creation process
- Persistence of skills across sessions
- Community skills and the agentskills.io platform
MCP Integration
- Connecting to MCP servers
- Programmatically extending tool capabilities
Scheduled Automations
- Using the built-in cron scheduler
- Configuring recurring tasks and automated reports
- Cross-platform delivery of automation results
Developer Automation Use Cases
- Autonomous execution of terminal commands
- Spawning isolated subagents
- Managing parallel workstreams and batch processing
Security and Best Practices
- Approval modes for commands and edits
- Data privacy considerations for self-hosted infrastructure
- Environment isolation strategies
Production Deployment
- Operating on a $5 VPS
- Serverless deployment patterns
- Monitoring agent health and log management
Troubleshooting
- Resolving common installation issues
- Debugging tool-related failures
- Memory and performance optimization
Summary and Future Directions
- Recap of core capabilities
- Resources for continued learning
- Pathway to advanced Hermes topics
Requirements
- Basic proficiency with command-line terminals and Linux commands
- An understanding of software development workflows
- General knowledge of AI and large language models
Target Audience
- Software developers aiming to integrate AI agents into their workflows
- DevOps engineers exploring autonomous tooling
- Technical team leads assessing AI agent platforms
