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Hermes Agent: guides & tutorials

Hermes Agent self-hosted AI assistant (Nous Research, 128k stars): persistent memory, learning loop, and reusable skill documents — agent-first architecture.

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Hermes Agent is a self-hosted AI assistant with persistent memory, a learning loop, and reusable skill documents, built around an agent-first architecture. These guides cover deploying and using it.

Persistent memory and skills let the agent improve at recurring tasks over time. Apify scrapers can serve as skills it invokes for web data. Below you will find setup and architecture guides for Hermes Agent.

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OpenClaw11 min read

OpenClaw vs Hermes Agent: Which Self-Hosted AI Assistant Is Right for You? (2026)

· 11 min read
Yassine El Haddad
Yassine El Haddad
Software Developer & Automation Specialist

OpenClaw and Hermes Agent are both self-hosted AI assistants you run on your own hardware — but they solve different problems. OpenClaw is a gateway that routes messages to an LLM and executes skills on demand. Hermes Agent is an autonomous agent with persistent memory and a learning loop that improves on repeated workflows. This post compares the two directly so you can choose the right tool for your setup.

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Frequently Asked Questions

Hermes Agent is an open-source AI assistant from Nous Research (128k+ GitHub stars, MIT license) with an agent-first architecture. Its differentiator is a persistent learning loop that builds reusable skill documents from experience — so it gets faster at repeated tasks over time. Run it on a Liquid Web 16 GB Managed VPS or GPU server.

OpenClaw is gateway-first: it sits in front of multiple LLM providers and routes requests intelligently. Hermes Agent is agent-first: it has persistent memory, a learning loop, and builds skill documents that compound across tasks. For teams that run the same workflows repeatedly, Hermes improves measurably; for flexible ad-hoc queries, OpenClaw is lighter.