Glossary

Clear definitions of the concepts, protocols, and terminology that power the Hermes ecosystem and the broader world of autonomous AI agents.

AI

RAG (Retrieval-Augmented Generation)

A technique that enhances language model outputs by retrieving relevant information from external knowledge sources before generating responses.

LLM (Large Language Model)

A neural network trained on vast text corpora to understand and generate human language, serving as the reasoning engine for AI agents.

Prompt Engineering

The practice of designing effective inputs for language models to produce desired outputs.

Biz

Workflow Automation

The use of software to execute sequences of tasks without manual intervention, from simple if-then rules to complex AI-driven processes.

SEO Automation

The use of software to automate search engine optimization tasks such as keyword research, content optimization, and rank tracking.

Content Distribution

The process of publishing and promoting content across multiple channels to reach target audiences.

User Acquisition

The process of attracting new users or customers to a product or service through marketing and growth strategies.

CAC (Customer Acquisition Cost)

The total cost of acquiring a new customer, including marketing and sales expenses divided by the number of new customers.

LTV (Lifetime Value)

The total revenue a business expects to earn from a customer over the entire duration of their relationship.

Retention

The ability of a product or service to keep users engaged and continuing to use it over time.

Funnel

A model representing the stages users go through from awareness to conversion, with decreasing numbers at each stage.

Attribution

The process of identifying which marketing touchpoints contribute to a conversion and assigning credit to each.

Core

AI Agent

An autonomous software system that perceives its environment, makes decisions, and takes actions to achieve goals without continuous human direction.

Autonomous Agent

An AI agent capable of independent decision-making, error recovery, and goal pursuit without requiring human approval for every action.

Model Context Protocol (MCP)

An open protocol that standardizes how AI agents discover, connect to, and use external tools and data sources.

Persistent Memory

A system's ability to retain information across sessions, enabling context-aware responses and cumulative learning.