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Open-source AI agent · Nous Research

Hermes

The self-improving personal AI agent

Hermes is Nous Research’s open-source AI agent — a single, always-on assistant with persistent memory and a self-improving skills system. It learns how you work and gets sharper with every task. We deploy and manage it for you on UAE infrastructure.

Hermes
@hermes · learns over time
Channel
Telegram
You
Same weekly report as last time — add October numbers.
Hermes
Done. Reused the format I learned last week and saved it as a skill for next month.
What is Hermes?

Hermes is an open-source AI agent framework from Nous Research, released in February 2026 and built in Python. It runs one always-on agent with persistent memory across sessions, a self-improving skills system, cron scheduling and messaging gateways — and it is model-agnostic, so you bring your own LLM.

Capabilities

An agent that remembers, learns and gets better with use.

Persistent memory
Hermes remembers across every session, building an evolving model of how you work (its Honcho user-modelling). It picks up where you left off instead of starting cold each time.
Self-improving skills
Ships with 80+ built-in skills and writes new ones autonomously after complex tasks, so the agent’s capabilities grow the more you use it.
Reach it anywhere
Use Hermes from the terminal, its native desktop app, or messaging gateways — Telegram, Discord, Slack, WhatsApp, Signal and email — with on-demand wake and cron scheduling.
Bring your own model
Model-agnostic by design: connect 200+ LLMs through OpenRouter, Anthropic, OpenAI, Nous Portal or local endpoints, and switch as cost and quality dictate.
Parallel sub-agents
For big jobs Hermes spawns isolated sub-agents that work in parallel, then synthesises their results — so a failure in one doesn’t sink the whole task.
Searchable recall
Full-text session search (SQLite FTS5) with LLM summarisation lets Hermes recall and reuse what happened in past conversations.
Channels & models

Reach Hermes where you already chat — with the model you choose.

Telegram
Discord
Slack
WhatsApp
Signal
Email
OpenRouter
Local models
Managed by Blue Net Box

Hermes, deployed and managed on your Blue Net Box server.

1
Pick your server
Choose a Blue Net Box VPS or cloud plan sized for the agent — billed in AED.
2
One-click deploy
We install, configure, secure and update the agent for you. It runs on your own server, fully managed.
3
Connect & go
Add your model keys and channels (or your other agents) and start working. We monitor it and you keep full control of your data.
FAQ
Questions,
answered.

Hermes is the self-improving personal AI agent, deployed and managed on Blue Net Box. Here is what people ask most.

Talk to the team →
What is Hermes?
Hermes is an open-source AI agent framework from Nous Research. It runs a single, always-on assistant with persistent memory, a self-improving skills system and messaging gateways. Blue Net Box deploys, hosts and manages it for you so you don’t have to run the infrastructure yourself.
Does Hermes really learn over time?
Yes — that is its defining feature. Hermes keeps persistent memory across sessions, builds an evolving model of how you work, and autonomously creates and refines its own skills, so it improves with use rather than resetting each conversation.
How do I talk to Hermes?
From the terminal, the native desktop app (macOS, Linux, Windows), or through messaging gateways including Telegram, Discord, Slack, WhatsApp, Signal and email. It supports on-demand wake and scheduled (cron) tasks.
Which AI models does Hermes use?
Hermes is model-agnostic. You bring your own model — it supports 200+ LLMs through providers such as OpenRouter, Anthropic, OpenAI and Nous Portal, as well as local endpoints.
Is Hermes self-hosted and private?
Yes. Hermes runs on your own Blue Net Box server, so your prompts and data stay on infrastructure you control rather than a shared third-party service.
How much does Hermes cost?
Hermes itself is open source (MIT licence) and free. You pay for the Blue Net Box hosting it runs on, plus your own usage with whichever LLM provider you connect.