---
title: "Hermes Agent"
type: agent
id: "hermes-agent"
category: "personal-agent"
category_label: "Personal Agent"
description: "Nous Research's open-source autonomous agent with persistent multi-level memory and auto-skill generation. Supports 5 execution backends (Local, Docker, SSH, Singularity, Modal) and multi-channel communication across Telegram, Discord, Slack, WhatsApp, and Signal."
last_updated: "2026-04-10"
website: "https://nousresearch.com"
github: "https://github.com/NousResearch/hermes-agent"
stars: "2,200+"
license: "MIT"
pricing: "Free / Open Source"
languages:
- "Python"
tags:
- "personal-agent"
- "python"
best_for:
- "Autonomous task execution"
- "Multi-backend deployment"
- "Research and experimentation"
- "Self-hosted agents"
---
# Hermes Agent
The research lab's personal agent. Nous Research built Hermes Agent for people who want deep control over how their AI assistant runs, where it runs, and what model powers it -- not just a friendly chatbot layer over messaging apps.
The standout feature is the five execution backends: Local, Docker, SSH, Singularity, and Modal. No other personal agent gives you this level of deployment flexibility. Run it on your laptop for testing, in Docker for isolation, or on Modal for serverless scale. The persistent multi-level memory system means your agent actually learns and retains context across sessions, which is something most competitors fake with simple conversation history.
Auto-skill generation is the ambitious part -- the agent can create new capabilities on the fly rather than relying on a pre-built marketplace. It is more experimental than OpenClaw's 4,000-skill marketplace, but the ceiling is higher for power users who want an agent that adapts to them.
At 2,200 stars versus OpenClaw's 250K, this is clearly the smaller community. You will write more custom code and solve more problems yourself. But if you are a Python developer who wants a personal agent built for experimentation and research rather than mass adoption, Hermes is the right tool.
**When to pick something else:** If you want the largest ecosystem and plug-and-play skills, OpenClaw has the community. If you need a no-code business agent, Lindy is the answer. If you want a coding-specific agent, look at Claude Code or Devin instead.
Hermes Agent
The research lab's personal agent. Nous Research built Hermes Agent for people who want deep control over how their AI assistant runs, where it runs, and what model powers it -- not just a friendly chatbot layer over messaging apps.
The standout feature is the five execution backends: Local, Docker, SSH, Singularity, and Modal. No other personal agent gives you this level of deployment flexibility. Run it on your laptop for testing, in Docker for isolation, or on Modal for serverless scale. The persistent multi-level memory system means your agent actually learns and retains context across sessions, which is something most competitors fake with simple conversation history.
Auto-skill generation is the ambitious part -- the agent can create new capabilities on the fly rather than relying on a pre-built marketplace. It is more experimental than OpenClaw's 4,000-skill marketplace, but the ceiling is higher for power users who want an agent that adapts to them.
At 2,200 stars versus OpenClaw's 250K, this is clearly the smaller community. You will write more custom code and solve more problems yourself. But if you are a Python developer who wants a personal agent built for experimentation and research rather than mass adoption, Hermes is the right tool.
When to pick something else: If you want the largest ecosystem and plug-and-play skills, OpenClaw has the community. If you need a no-code business agent, Lindy is the answer. If you want a coding-specific agent, look at Claude Code or Devin instead.