
Hermes Architecture EXPLAINED: Memory, Context & Gateways
Hugging Face17 June 2026Watch on YouTube
Part of series
Ep. 4 · Agentic Hermes Insane
View the seriesDescription
Hermes is an always-on AI agent with a simple but useful architecture: an agent loop, memory, context construction, gateway integrations, and scheduled cron jobs. In this video, I walk through how Hermes builds context, talks to external services like Telegram and Slack, compresses long conversations, and learns from previous interactions. --- 🤓 *Topics Covered* - Hermes agent architecture - Context, memory, and compression - Gateways, SQLite, and cron jobs --- ⏱️ *Timestamps* 00:00 - Intro 00:57 - Bird's-eye view of the architecture 03:49 - Agent loop 07:31 - Context 13:28 - Context compression 18:28 - Context compression prompt 19:59 - Gateway 28:00 - Memory 34:37 - Cron jobs --- 🔗 Links - Written version: https://alejandro-ao.com/tutorials/hermes-agent-architecture/ - Relevant links and resources will be added here. --- 👋 Connect with me - My website: https://alejandro-ao.com/ - X (Twitter): https://x.com/_alejandroao - LinkedIn: https://www.linkedin.com/in/alejandro-ao/ - Courses: https://aibootcamp.dev/
What you'll learn
- Hermes is an always-on AI agent with a modular architecture consisting of an agent loop, memory, context construction, gateway integrations, and scheduled tasks.
- The agent builds context by loading and compressing conversation history, allowing long interactions to remain manageable for the model.
- Gateways connect Hermes to external services like Telegram and Slack, enabling the agent to communicate across multiple channels.
- Hermes stores memory using SQLite and learns from previous interactions by retrieving and reusing historical data.
- Scheduled cron jobs allow the agent to automatically execute tasks at specified intervals.