Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Hermes Agent
- Defining Hermes Agent and its distinctions 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
- Deployment within Docker containers
- Remote deployment via SSH, Daytona, Singularity, and Modal
- Configuring API keys for OpenAI, Anthropic, OpenRouter, and Nous Portal
Interacting with the Agent
- Using the CLI interface and executing basic commands
- Setting up and utilizing a Telegram bot
- Integrating with Discord and Slack
- Establishing WhatsApp connectivity
Native Toolset
- Web searching and content extraction
- File operations: reading, writing, editing, and searching
- Executing terminal commands and bash scripting
- Image generation and vision analysis
- Text-to-speech functionality
Persistent Memory
- Cross-session memory using FTS5 recall
- LLM summarization for maintaining long-term context
- Memory search and retrieval processes
The Skills System
- Understanding skills and their creation process
- Maintaining skill persistence across sessions
- Community skills and the agentskills.io ecosystem
MCP Integration
- Connecting to MCP servers
- Programmatically extending tool capabilities
Scheduled Automations
- Utilizing the built-in cron scheduler
- Configuring recurring tasks and automated reports
- Cross-platform delivery of automation results
Use Cases for Developer Automation
- Autonomous execution of terminal commands
- Spawning isolated subagents
- Managing parallel workstreams and batch processing
Security and Best Practices
- Implementing approval modes for commands and edits
- Ensuring data privacy on self-hosted infrastructure
- Achieving environment isolation
Production Deployment
- Running on a $5 VPS
- Serverless deployment patterns
- Monitoring agent health and logs
Troubleshooting
- Addressing common installation issues
- Debugging tool failures
- Tuning memory and performance
Summary and Next Steps
- Review of key capabilities
- Resources for ongoing learning
- Transitioning to advanced Hermes topics
Requirements
- Familiarity with command-line terminals and Linux commands
- Understanding of software development workflows
- General knowledge of AI and large language models
Target Audience
- Software developers seeking to integrate AI agents into their daily workflows
- DevOps engineers exploring autonomous tooling solutions
- Technical team leads evaluating AI agent platforms
14 Hours
