Hermes Agent: What It Is, How It Works, and How to Get Started
Hermes Agent is Nous Research's open-source, self-improving AI agent. Here's how its learning loop, model-agnostic design, and multi-platform reach work.
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Nous Research's tagline for Hermes Agent is "The Agent That Grows With You." That's not just marketing copy — it's a description of the project's central mechanism: Hermes runs a learning loop that turns its own past work into skills and memory it draws on next time, rather than starting fresh on every session.
What is Hermes Agent?
Hermes Agent is an open-source, MIT-licensed AI agent built by Nous Research, launched February 25, 2026. It's grown fast: the project's GitHub repository has crossed 230,000+ stars, and a single release in August 2026 alone shipped roughly 3,650 commits and 1,400 merged PRs from 650+ contributors — including a new native desktop app for macOS, Windows, and Linux.
Unlike agents that ship tied to one model, Hermes is explicitly model-agnostic: its own docs describe using "any model you want — Nous Portal, OpenRouter, OpenAI, your own endpoint," with support for 300+ models, switchable with a /model <name> command.
Hermes Agent at a glance
- Tagline: "The Agent That Grows With You"
- Creator: Nous Research
- Launched: February 25, 2026
- License: MIT
- GitHub: 230,000+ stars (see repo for current count)
- Models: model-agnostic, 300+ supported (Nous Portal, OpenRouter, OpenAI, custom endpoints)
- Stack: Python 3.11+ and Node.js
- Platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, CLI, and a native desktop app
- Links: Official site · GitHub · Docs
The learning loop
The mechanism behind "grows with you" is a loop where the agent curates its own memory and periodically refines itself. According to Nous Research, Hermes autonomously creates skills after completing tasks, and those skills keep improving through further use. Cross-session recall is handled through FTS5-indexed session search combined with LLM summarization, so the agent can pull up relevant history from earlier conversations rather than treating every session as isolated.
In practice, that means the same agent tends to get more useful to a specific user or project over time — it's accumulating project-specific knowledge and reusable skills rather than just executing each request from a blank slate.
Built to reach you wherever you already are
Hermes connects to Telegram, Discord, Slack, WhatsApp, Signal, and email, alongside a full CLI with a TUI (multi-line editing, slash-command autocomplete) and a native desktop app for macOS 12+, Windows 10/11, and Linux. Automation is a first-class feature too: natural-language scheduling drives recurring reports, backups, and briefings without needing a separate cron setup.
For anything that needs isolation, Hermes supports seven sandbox backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel — so execution can run wherever makes sense for the task, from a local shell to serverless infrastructure.
Delegation and tooling
Hermes can hand work off to independent sub-agents, each with its own session, terminal, and Python RPC scripting, rather than trying to do everything in a single linear thread. The broader toolset (40+ tools) covers web search, browser automation, vision, image generation, and text-to-speech, and Hermes integrates with MCP servers and is compatible with the agentskills.io standard for portable skill definitions.
How to get started
The fastest path is the official install script:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Windows users can use the PowerShell equivalent, and desktop apps are available directly for macOS, Windows, and Linux. Hermes offers a free tier plus Plus / Super / Ultra paid tiers with monthly usage credits and access to 300+ models; see the official site for current pricing, or the GitHub repo to self-host from source.
Who should care about Hermes Agent
- people who want one assistant reachable from the messaging apps they already use daily
- developers who want an agent that isn't locked to a single model provider
- teams that need scheduled, recurring automation (reports, backups, briefings) without hand-rolling it
- anyone interested in agents designed around persistent memory and self-generated skills rather than stateless, single-session interactions
It's less relevant if you specifically want a narrow, single-purpose coding assistant — Hermes is built as a general-purpose, always-on agent first.
FAQ
What is Hermes Agent?
Hermes Agent is Nous Research's open-source, MIT-licensed AI agent, built around a learning loop that creates and refines skills from its own usage and persists memory across sessions.
Is Hermes Agent free?
There's a free tier; paid Plus/Super/Ultra tiers add monthly usage credits and access to a larger set of models and built-in tools.
What models does Hermes Agent support?
It's model-agnostic — 300+ models are supported through Nous Portal, OpenRouter, OpenAI, or a custom endpoint, switchable at any time with /model <name>.
What platforms does Hermes Agent run on?
Telegram, Discord, Slack, WhatsApp, Signal, email, a CLI, and native desktop apps for macOS, Windows, and Linux.
How do I install Hermes Agent?
Run the official install script (curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash on macOS/Linux, or the PowerShell equivalent on Windows), or download the desktop app directly.
How is Hermes Agent different from a typical coding assistant?
It's general-purpose rather than coding-specific: persistent memory, self-generated skills, multi-platform messaging integration, and scheduled automation are the core design, not an add-on to a code-editing tool.