Learn Hermes AI Agent

Learn to build AI agents with Hermes from the fundamentals to production-grade: prerequisites & environment setup, history & background, core concepts & main architecture, controller & agent lifecycle, kernel & core runtime, tools & tool integration, memory & state management, environment & context, perception layer, planning & reasoning, action execution, reflection & learning, prompt & system design, LLM integration, multi-agent orchestration, human-in-the-loop, security & sandboxing, testing & evaluation, observability & tracing, deployment & scaling, modern features & roadmap, through to alternative ecosystems & final reflections, with a total of 23 episodes.

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Learn Hermes AI Agent - Prerequisite Skills & Environment Setup

Before touching your first agent, you need to master the basics of AI agents and conversational AI, understand APIs, webhooks, and asynchronous workflows, and prepare tooling such as Node.js, VS Code, the Hermes CLI, and LLM provider credentials in your own environment.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - History, Background & Why Choose Hermes AI Agent

This episode traces the evolution from static chatbots to AI agents that take action, compares agent architecture with model-only workflows, and then unpacks the strengths of Hermes AI Agent: event-driven, plugin extensibility, and the orchestration that ties it all together.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Core Concepts & Main Architecture

This episode dissects the anatomy of Hermes AI Agent: the controller that orchestrates the lifecycle, the kernel that runs core services, tools that provide capabilities, memory that stores context, and the environment where the agent operates, plus LLM integration and custom actions.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Installation & Basic Setup

This episode walks you through laying out a Hermes Agent project, installing dependencies, configuring the runtime and model providers, and then running your first local agent that truly responds to real conversations.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Creating Agent Profiles & Capabilities

This episode shapes the agent's identity: writing persona, goals, and default behavior; defining capabilities such as browsing, code execution, and database access; and then defining the toolset and permission limits so the agent is powerful yet remains under control.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Prompt Engineering & System Design

Assembling the agent's brain: system prompts, task instructions, and consistent response formatting; using prompt templates and dynamic prompt generation; plus handling edge cases and failure modes so the prompt stays reliable in every situation.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Tooling & External Integrations

Connecting the agent to the outside world: configuring OpenAI, Azure OpenAI, and other providers; integrating web search, database query, API fetch, and file system tools; plus safety considerations for every tool call.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Basic Observability & Logging

Turning the agent from a black box into clear glass: conversation event logging, debugging action execution and tool calls, monitoring agent behavior, and replaying logs for analysis without token cost.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Memory & State Management

Building a three-layer agent memory: short-term, long-term, and session state. Strategies for storing, semantically retrieving, and pruning memory, plus token usage and state size constraints.

August 3, 2026

AI Agent

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Learn Hermes AI Agent - Multi-turn Conversation & Context Handling

Managing healthy multi-turn conversations: conversation state across turns, context retrieval and prompt window management, plus handling topic switches and conversation resets when the user changes direction.

August 3, 2026

AI Agent