Hermes Agent
The agent that grows with you
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What is Hermes Agent?
Hermes Agent is an open-source autonomous AI agent built by Nous Research. It is designed to live on your server, remember what it learns, and become more capable the longer it runs. The site positions it as a persistent agent rather than a coding copilot or a simple chatbot wrapper.
A core theme of the product is self-improvement. Hermes Agent has a built-in learning loop that creates skills from experience, improves those skills while in use, and persists knowledge across sessions. It also builds a deeper model of the user over time, so it can carry context forward instead of starting fresh each time.
The agent is built to run in many environments. The documentation highlights support for Linux, macOS, WSL2, native Windows in early beta, and Android via Termux, with installation through a single command on supported systems. It can operate on local machines, Docker, SSH, Daytona, Singularity, or Modal, and it can also live on a $5 VPS or serverless infrastructure.
Hermes Agent is also built for multi-platform interaction and automation. It can be reached through CLI and messaging platforms such as Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, Teams, Google Chat, and more, while also supporting scheduled automations, subagents, web search, browser automation, memory, skills, and MCP integration. It is aimed at users who want a persistent personal or team agent that can run continuously, automate work, and extend itself over time.
Hermes Agent pricing
Pricing model: Freemium
The website describes Hermes Agent as open source under the MIT License and does not present a paid subscription or tiered pricing page. Installation is available for free on supported platforms, and the docs emphasize that it can run on a $5 VPS or on serverless infrastructure such as Daytona or Modal that costs nearly nothing when idle. The site also says it works with Nous Portal, OpenRouter, OpenAI, or any endpoint, so usage costs may depend on the model provider or infrastructure you connect to rather than on Hermes itself.
Hermes Agent pros
- Self-improving learning loop
- Persistent memory across sessions
- Autonomous skill creation
- Skill improvement during use
- Cross-session recall with summarization
- User modeling that deepens over time
- Runs on Linux, macOS, WSL2, and Windows beta
- Android Termux support
- Multiple terminal backends
- Works with local, Docker, SSH, Daytona, Singularity, and Modal
- Messaging gateway for many platforms
- CLI and multi-platform access
- Scheduled automations built in
- Subagents for parallel workstreams
- Built-in web search and browser automation
- Vision, image generation, and text-to-speech support
- MCP integration support
- Open source with MIT License
Hermes Agent cons
- Windows native support is early beta
- Requires installation and setup before use
- Gateway must stay running for remote chat clients
- Some deployments need extra infrastructure knowledge
- Docker networking can require manual configuration
- Local-only API binding by default
- Multi-platform setup adds complexity
- Advanced features may require configuration files and keys
- Serverless or cloud backends may still involve external platform costs
Frequently asked questions about Hermes Agent
What is Hermes Agent?
Hermes Agent is an autonomous AI agent from Nous Research that lives on your server, remembers what it learns, and gets better over time. The website presents it as more than a chatbot or coding copilot, with persistent memory, reusable skills, and multi-platform access.
How does Hermes Agent improve over time?
Hermes Agent uses a built-in learning loop. According to the documentation, it creates skills from experience, improves those skills while it is being used, nudges itself to persist knowledge, and builds a deeper model of the user across sessions.
What platforms does Hermes Agent run on?
The documentation says it supports Linux, macOS, and WSL2, with native Windows listed as early beta. It also mentions Android through Termux, and it can be deployed across local, Docker, SSH, Daytona, Singularity, and Modal environments.
How do I install Hermes Agent?
The site offers a one-line installer for supported systems and a separate PowerShell command for native Windows beta. The quickstart shows installation followed by configuration with hermes setup, and the docs note that the installer sets up dependencies automatically.
What messaging apps can Hermes Agent connect to?
The documentation highlights a messaging gateway that can connect Hermes Agent to Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, Weixin, QQ Bot, Yuanbao, BlueBubbles, Home Assistant, Microsoft Teams, Google Chat, and more.
Does Hermes Agent support automation?
Yes. The website says it includes scheduled automations, described as built-in cron for reports, backups, and briefings. These tasks can be delivered through the gateway to connected platforms.
Can Hermes Agent use tools and subagents?
Yes. The docs describe support for subagents that can run isolated workstreams with their own conversations and terminals, plus a broad toolset that includes web search, browser automation, vision, image generation, and text-to-speech.
Does Hermes Agent support MCP?
Yes. The documentation includes MCP integration, with the ability to connect to MCP servers, filter their tools, and extend Hermes safely. That makes it suitable for users who want to plug in external capabilities without replacing the agent.
Can Hermes Agent be used with Open WebUI?
Yes. The documentation includes an API server that exposes Hermes Agent as an OpenAI-compatible endpoint, which can be connected to Open WebUI. The setup shown on the site enables the API server, starts the gateway, and points Open WebUI at the local /v1 endpoint.
Is Hermes Agent free to use?
The site presents Hermes Agent as open source under the MIT License and does not show a paid product tier on the homepage or docs landing page. However, the infrastructure you run it on and any external model provider you connect to may still have their own costs.