Nous Research Launches Open-Source Hermes Agent With Closed-Loop Learning
Nous Research’s Hermes Agent is an open-source AI agent project built around a persistent operating layer and a closed-loop learning system. It organizes experience gained from completing tasks into reusable Skills and continuously refines how it works. The project is designed to move AI beyond one-off question-and-answer tools and turn it into an always-on digital workforce that can collaborate across platforms and build capabilities over time.
As of July 19, 2026, Hermes Agent had launched its /learn feature, allowing users to convert three types of content—local files, webpages and conversations—into Skills with one click. It also supports integrations across multiple platforms and inference engines for a range of AI models. Recent tutorials have focused on migrating OpenClaw memory to Hermes Agent, lowering the barrier to transferring existing personal knowledge and workflows.
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The history behind this eventNous Research Launches Open-Source Hermes AI Agent Desktop App
Nous Research has long focused on open-source AI models and agent tools, positioning Hermes as an automated AI agent capable of executing tasks autonomously. The desktop release replaces its previously terminal-centric workflow with a graphical interface, making it more accessible to nontechnical users and putting the open-source agent in more direct competition with proprietary commercial products.
As of July 20, 2026, Nous Research had formally launched the public preview of Hermes Desktop for macOS, Windows and Linux. The app is open-sourced under the MIT License, can connect to more than 300 AI models, and integrates persistent memory and natural-language scheduling, allowing users to set up and run automated tasks using everyday language.
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