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Install Hermes Agent for scheduled jobs and a self-built skill library, reachable from Telegram, Slack or WhatsApp

The README for Nous Research's open-source Hermes Agent describes persistent memory, skills it creates after complex tasks, a natural-language scheduler and one gateway for chat apps.

Evidence: The source shows its work: steps, screenshots, code or data you can inspect.

The business problem

A founder wants a persistent assistant that remembers their business, repeats scheduled jobs and reports back in the apps they already use.

What was tried

Install with a one-line script on Linux, macOS or Windows, choose a model provider with a single command, and run the gateway to reach it from Telegram, Discord, Slack, WhatsApp or Signal. A built-in scheduler runs jobs described in natural language and delivers output to any connected platform. The agent curates its own memory, searches past sessions, and writes reusable skills after complex tasks. Commands can run locally, in containers, over SSH or in cloud sandboxes.

What was reported (not reported)

The README reports no results or benchmarks. It shows very high community interest (about 252,000 stars) but that is not evidence of workflow outcomes.

Limitations

The README has no limitations section. Claims such as being the only agent with a built-in learning loop are unsupported, how skills are stored and validated is not described, and what data goes to third-party services and how memory is stored are not stated. The paid portal's price and hardware needs are not given, and no release version is shown. It is MIT-licensed, and the README links to approval, pairing and container isolation docs.

What you need

A terminal and a model provider account or key (several are supported). A paid portal is optional, and always-on use needs a server or container host.

Sources

Source published: unknown. Last reviewed here: October 11, 2026. Spot a mistake? Tell us.

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