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
- Understanding what Hermes Agent is 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 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
Interacting with the Agent
- CLI interface navigation and basic commands
- Setting up and using the Telegram bot
- Integrating with Discord and Slack
- Establishing WhatsApp connectivity
Built-in 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 functionalities
Persistent Memory
- Cross-session memory capabilities using FTS5 recall
- LLM summarization for maintaining long-term context
- Searching and retrieving stored memories
The Skills System
- Defining skills and the process of their creation
- Ensuring skill persistence across different sessions
- Exploring community skills and agentskills.io
MCP Integration
- Connecting to MCP servers
- Programmatically extending tool capabilities
Scheduled Automations
- Utilizing the built-in cron scheduler
- Setting up recurring tasks and automated reports
- Distributing automation results across platforms
Developer Automation Use Cases
- Autonomously executing 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
- Maintaining environment isolation
Production Deployment
- Operating the agent on a $5 VPS
- Implementing serverless deployment patterns
- Monitoring agent health and reviewing logs
Troubleshooting
- Addressing common installation issues
- Debugging tool failures
- Tuning memory usage and performance
Summary and Next Steps
- Recapping key capabilities
- Providing resources for continued learning
- Transitioning to advanced Hermes topics
Requirements
- Fundamental knowledge of command-line terminals and Linux commands
- Understanding of software development workflows
- General awareness of AI and large language models
Target Audience
- Software developers seeking to integrate AI agents into their professional workflow
- DevOps engineers investigating autonomous tooling solutions
- Technical team leaders assessing AI agent platforms
14 Hours
