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Hermes Agent

The self-improving AI agent built by Nous Research. The only autonomous agent with a built-in learning loop: it creates skills from experience, improves them during use, and builds a deepening model of who you are across sessions.

For agents: Hermes Agent by Nous Research: self-improving autonomous AI agent with skill creation, cross-session memory, and install docs in several languages.

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# Hermes Agent

> The self-improving AI agent built by Nous Research. The only autonomous agent with a built-in learning loop: it creates skills from experience, improves them during use, and builds a deepening model of who you are across sessions.

Hermes Agent is open source (MIT), written in Python, and runs on Linux / macOS / WSL2. It is the work of Nous Research (nousresearch.com) — the lab behind the Hermes, Nomos, and Psyche model families. Hermes Agent is distinct from those LLMs: it is an *agent framework* that can be driven by any OpenAI-compatible LLM provider (Claude, GPT, Gemini, Qwen, DeepSeek, etc.). Requires a ≥64k context-window model.

This site, hermes-ai.net, is a community-maintained multilingual landing and docs site. It is not affiliated with Nous Research and is not the official Hermes Agent release domain. Official English documentation lives at https://hermes-agent.nousresearch.com/docs — we translate and supplement it for Chinese, Japanese, Korean, Spanish, French, German, and Russian readers.

## Core concepts

- [Self-improving learning loop](https://hermes-ai.net/docs/features): Agent-curated memory with periodic nudges, autonomous skill creation, skill self-improvement during use, FTS5 cross-session recall, Honcho dialectic user modeling.
- [Skills system](https://hermes-ai.net/docs/features): Procedural memory the agent creates and reuses. Compatible with agentskills.io — skills are portable, shareable, community-contributed Markdown files.
- Messaging gateway: One gateway delivers to 15+ platforms — Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, BlueBubbles, Home Assistant.
- MCP integration: Attach any Model Context Protocol server to extend Hermes's toolset. Allowlist filtering keeps the tool surface small.
- Runtime backends: Six execution backends — local, Docker, SSH, Daytona, Singularity, Modal. Serverless backends hibernate when idle.
- Scheduled automations: Built-in cron system with delivery to any messaging channel.

## Installation (canonical)

```
curl -fsSLO https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh
less install.sh
bash install.sh
```

Then `hermes setup` for the interactive wizard, or `hermes model` / `hermes tools` / `hermes env` to configure parts individually. Launch with `hermes` (classic CLI) or `hermes --tui` (terminal UI). Resume a previous session with `hermes --continue`. Alternative installs: `pipx install hermes-agent`, or the `nousresearch/hermes-agent` Docker image.

## Docs

- [Quickstart (English)](https://hermes-ai.net/docs/quickstart): 60-second path from zero to first conversation.
- [Installation](https://hermes-ai.net/docs/installation): One-liner, pipx, Docker, and the six terminal backends.
- [Features](https://hermes-ai.net/docs/features): Learning loop, skills, messaging, MCP, cron, runtime backends.
- [FAQ](https://hermes-ai.net/docs/faq): What Hermes is, how it differs from copilo
…

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