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What is Hermes Agent?
Hermes Agent is an open-source, self-hosted AI agent from Nous Research. Instead of a chat window you visit, it runs as software you install and control, with persistent memory and the ability to create its own skills over time. It also includes a messaging gateway that connects it to chat platforms such as Telegram, Discord and Slack, so you can interact with it where you already type.
Three traits define it:
- Self-hosted and open source. You run it yourself, released under the MIT license, rather than depending on a vendor-hosted assistant.
- Persistent memory and self-created skills. It is designed to accumulate context and build reusable capabilities instead of starting fresh each session.
- Messaging gateway. It reaches you through existing chat apps, which suits people who want an assistant in their daily message flow.
Who it suits
Developers and technically comfortable users who want an assistant they can inspect, extend and keep on their own machine or server. If you prefer a zero-setup hosted chatbot, the install-and-maintain aspect is the main trade-off.
How to get it
There is a Hermes Desktop app for macOS and Windows, plus a terminal install path on Linux. Check platform requirements on the official page before downloading: Hermes Agent.
How does Hermes Agent's persistent memory and self-created skills work across sessions?
Hermes Agent keeps context between sessions through two linked mechanisms: persistent memory and self-created skills. Memory stores what the agent has learned about you and your work; skills turn recurring procedures into reusable capabilities the agent can call again later. Both are part of the agent's own state, so they carry forward rather than resetting when a session ends.
H3 How the two differ
| Mechanism | What it holds | Typical use |
|---|---|---|
| Persistent memory | Facts, preferences and context from earlier sessions | Remembering your project conventions or how you like output formatted |
| Self-created skills | Reusable procedures the agent writes and names itself | Repeating a multi-step task without re-explaining it each time |
The practical difference is between knowing and doing. Memory answers "what does this user care about?"; a skill answers "how do I perform this task here?" A skill can draw on memory, so the two compound: the more you use the agent, the less setup each new session needs.
H3 What this looks like in practice
Imagine you spend a first session teaching the agent to summarise a weekly report in a specific structure. On later sessions, memory supplies the context — which reports, which audience, which tone — while a self-created skill supplies the steps. You should not need to restate the format.
H3 Trade-offs to weigh
- Continuity vs. drift. Accumulated memory can become stale or contradictory. Periodically review and prune what the agent has stored.
- Convenience vs. oversight. Self-created skills are written by the agent, not by you. Treat them as you would a colleague's script: check what they actually do before relying on them.
- Self-hosting vs. managed convenience. Because the agent is self-hosted and open source under the MIT license, memory and skills live on your own machine, which suits privacy-sensitive work but puts backup and maintenance on you.
H3 A useful next step
Run one real task end to end, then start a fresh session and ask the agent what it remembers and which skills it has created. That single test tells you whether persistence is working the way you expect — and what needs cleaning up.
For setup details and platform options, see Hermes Agent.
How do I set up the Telegram, Discord, or Slack messaging gateway to control Hermes Agent remotely?
The messaging gateway is configured from inside Hermes Agent itself: you enable the gateway, supply a bot token or app credential for the platform you want, and then talk to your agent from that chat app the same way you would from the desktop interface. Because Hermes Agent is self-hosted, the agent keeps running on your own machine (or server) while Telegram, Discord or Slack acts only as the remote control surface.
Hermes Agent
H3 What you need before starting
- A running Hermes Agent install. On macOS or Windows this is normally the Hermes Desktop app; on Linux it is a terminal install.
- An account on the target platform with permission to create a bot or app (a Telegram bot via BotFather, a Discord application with a bot user, or a Slack app with the messaging scopes you need).
- The credential that platform issues — typically a bot token, and for Slack also a signing secret plus the events or socket-mode configuration.
- The agent left running. If the machine sleeps or the process stops, remote messages will not be answered.
H3 General setup shape
- Create the bot or app on the platform and copy its token or credentials.
- In Hermes Agent, open the messaging gateway settings and choose the platform.
- Paste the credential and enable the gateway.
- Restrict access — most gateways let you limit the bot to specific user IDs, chat IDs or workspace channels so strangers who find the bot cannot drive your agent.
- Send a test message from the chat app and confirm the agent replies.
H3 Choosing a platform
| Platform | Good fit when | Trade-off to expect |
|---|---|---|
| Telegram | You want the fastest path to a personal remote control, including from a phone | Bot is easy to find; lock it down to your own user ID |
| Discord | You already live in a server and want channels or threads as separate contexts | More setup steps and server permissions to manage |
| Slack | You want the agent inside a work workspace, possibly shared with a team | Admin approval and stricter scopes are often required |
H3 Practical notes Treat the bot token like a password: anyone holding it can send instructions to your agent, and a self-hosted agent may have access to local files or tools. Start with a narrow scope — one chat, one user — and widen only after you see how the agent behaves. If you want the agent reachable when your laptop is closed, run it on an always-on machine rather than a desktop that sleeps.
For exact field names, supported platforms and any platform-specific options, check the Features and FAQ sections on the official site, since the gateway is updated alongside the agent.
What are the differences between the Hermes Desktop app for macOS and Windows versus the terminal installation on Linux?
The macOS/Windows desktop app and the Linux terminal install are two ways to run the same agent. The desktop route targets people who want a graphical, click-to-install experience; the Linux route targets users comfortable with a shell and package management.
What actually differs
| Aspect | Hermes Desktop (macOS/Windows) | Terminal install (Linux) |
|---|---|---|
| Interface | Graphical desktop app | Command line, driven by terminal commands |
| Setup | Download and run an installer | Install via terminal, then configure from the shell |
| Platform fit | Built for macOS and Windows desktops | Built for Linux environments, including servers |
| Best for | Everyday desktop use, less terminal familiarity | Headless machines, remote servers, scripted or automated setups |
The underlying agent is described the same way in both cases: open source under the MIT license, self-hosted, with persistent memory, self-created skills, and a messaging gateway for Telegram, Discord, Slack and similar services. So the choice is mostly about how you prefer to install and interact with it, not about getting a different set of core capabilities.
How to decide
- Choose the desktop app if you want to run Hermes on a personal Mac or Windows machine and would rather not manage it through a terminal.
- Choose the terminal install if you are on Linux, want it running on a server or always-on machine, or want to script and automate how it starts and updates.
- If you use both a laptop and a server, you can run each in the form that fits that machine — the messaging gateway is what lets you reach the agent from Telegram, Discord or Slack regardless of where it runs.
A practical next step: check the download and install options on the project's own page — Hermes Agent — and confirm your macOS version meets the stated requirement (macOS 12+) before downloading the desktop build.
Can Hermes Agent run fully offline or self-hosted without sending my data to external servers?
Yes. Hermes Agent is designed as an open-source, self-hosted AI agent, and the page describes persistent memory and self-created skills that live with your installation rather than in a vendor cloud. The messaging gateway (Telegram, Discord, Slack, and similar) is the main piece that pulls in outside services, so "fully offline" depends on how you choose to run it.
What stays local
- The agent itself: you install it on your own machine or server, and it runs under the MIT license.
- Persistent memory and skills: these are stored as part of your setup, so the agent's accumulated knowledge is yours to keep and inspect.
- Desktop and terminal options: Hermes Desktop is offered for macOS (12+) and Windows, and Linux users can install via terminal.
Where external traffic can still appear
- Messaging gateway: connecting Telegram, Discord, or Slack necessarily routes messages through those platforms' servers.
- Model inference: if the agent calls a hosted model API, your prompts and context leave your machine. A local model avoids that, but you supply the hardware and accept weaker capability.
- Optional portal or sync features: any account-based service you enable adds a network dependency; skipping it keeps the footprint smaller.
H3: A practical test Run the agent with networking blocked and only a local model configured. If memory, skills, and your usual tasks still work, your setup is genuinely offline. Then enable one gateway at a time and watch what traffic appears, so you know exactly which integration costs you privacy.
For comparison, other self-hosted agent projects make similar trade-offs; the official sites are Nous Research and, if you want a widely used local model runner, Ollama.
What are the hardware requirements and setup steps to run Hermes Agent locally?
Hermes Agent is designed to run on your own machine, with a desktop app for macOS and Windows and a terminal install for Linux. The page evidence confirms a macOS 12+ requirement for the Mac desktop download; it does not list CPU, RAM, GPU or disk figures, so treat any specific numbers as unverified and check the official documentation before buying hardware.
Practical baseline (advice, not stated specs): because the agent keeps persistent memory and creates its own skills, storage and memory grow with use. Plan for a machine with a modern multi-core CPU, at least 16 GB RAM and spare disk if you intend to run local models, and note that using a hosted model API shifts the heavy compute off your machine.
Setup path
- Choose your platform: download Hermes Desktop for macOS (12+) or Windows, or install via terminal on Linux.
- Install and launch the app or run the installer command.
- Connect a model provider so the agent has an inference backend.
- Configure the messaging gateway if you want to reach it through Telegram, Discord or Slack.
- Test with a small task, then let memory and skills accumulate over repeated sessions.
Who this suits
| Situation | Better fit |
|---|---|
| You want data and memory kept on your own hardware | Self-hosted desktop or Linux install |
| You want the agent reachable from chat apps | Enable the messaging gateway |
| You have modest hardware | Pair it with a hosted model instead of local inference |
| You want a managed experience | A hosted agent service may be simpler |
Next step: confirm the current install instructions and any stated system requirements on Hermes Agent before committing hardware, then run one low-stakes task to gauge memory and disk growth.
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