yaooqinn/hermes-agent — explained in plain English
Analysis updated 2026-08-09 · repo last pushed 2026-05-22
Run a persistent AI assistant on a cheap cloud server and ping it from your phone via Telegram or Discord
Set up scheduled automations like daily reports or weekly audits in plain language with no code
Generate training data from AI agent sessions for research purposes
Switch between different AI model providers without changing your project configuration
| yaooqinn/hermes-agent | 000madz000/rfid-attendance | 00kaku/gallery-slider-block | |
|---|---|---|---|
| Language | — | TypeScript | JavaScript |
| Last pushed | 2026-05-22 | 2024-07-22 | 2021-05-19 |
| Maintenance | Maintained | Dormant | Dormant |
| Setup difficulty | hard | easy | easy |
| Complexity | 4/5 | 2/5 | 2/5 |
| Audience | pm founder | developer | general |
Figures from each repo's GitHub metadata at analysis time.
No native Windows support, requires WSL2 or a Unix-like environment, plus you need to connect at least one messaging platform and choose an AI model provider.
Hermes Agent is a self-improving AI assistant that remembers you across conversations and gets smarter the more you use it. Instead of starting fresh every time you chat, it builds up knowledge about who you are, creates reusable skills from tasks it completes, and can even search its own past conversations to recall things you discussed days or weeks ago. The pitch is simple: an AI that actually grows with you rather than forgetting everything when a session ends. What makes it practical is where and how you can reach it. You can talk to it through a terminal on your computer, but also through Telegram, Discord, Slack, WhatsApp, Signal, or email, all from one running instance. That means you could leave it working on a cloud server and ping it from your phone mid-task. It also supports scheduled automations, so you can ask it to send you a daily report or run a weekly audit in plain language, no code needed. It works with a huge range of AI models from different providers, and you can switch between them without changing anything in your project. The people who would get the most out of this are founders, researchers, and builders who want a persistent AI assistant rather than a throwaway chatbot. If you've ever wished your AI tool remembered that you prefer concise summaries, knew your project structure, or could run a nightly backup without you babysitting it, this is designed for exactly that. It's also aimed at people who want flexibility: you can run it on a five-dollar-a-month server, a beefy GPU cluster, or a serverless setup that costs almost nothing when idle. One notable tradeoff: there's no native Windows support. You need WSL2 or a Unix-like environment. The project is built by Nous Research and is open source under an MIT license, with an active community around skill-sharing and extensions. It also includes tooling for researchers who want to generate training data from agent sessions, which is an unusual feature for an assistant-focused project and signals that it's as much a research platform as a productivity tool.
A self-improving AI assistant that remembers you across conversations, builds reusable skills, and connects to you through terminal, chat apps, or email, getting smarter the more you use it.
Maintained — commit in last 6 months (last push 2026-05-22).
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
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