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Hermes Agent

An open-source self-hosted AI agent with persistent memory, self-created skills, messaging channels, browser tools, and isolated execution.

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Introduction

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Information

  • Publisher
    pushtimepushtime
  • Websitehermes-agent.nousresearch.com
  • Published date2026/09/12

Categories

  • AI & Automation
  • Developer Tools
  • Productivity & Collaboration

Tags

  • AI Powered
  • AI Agents
  • AI Assistant
  • Open Source
  • Self-Hosted
  • Agent Memory
  • Automation
  • Browser Automation
  • Desktop App
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How to Use Hermes Agent

Hermes Agent's Core Features

Persistent memory

Keep project context across conversations and let the agent build reusable skills from prior work.

Messaging gateway

Reach one agent through Telegram, Discord, Slack, WhatsApp, Signal, email, and the CLI.

Natural-language scheduling

Set up recurring reports, backups, and briefings that run unattended.

Delegated subagents

Run isolated subagents with separate conversations, terminals, and Python RPC scripts.

Sandboxed tools

Use browser, web, vision, image, speech, and multi-model tools through multiple execution backends.

Hermes Agent's Use Cases

1

Developer workflows

Ask an agent to inspect code, research documentation, run commands, and turn repeated solutions into skills.

2

Personal knowledge work

Maintain context for research, writing, planning, and recurring briefings across multiple surfaces.

3

Scheduled operations

Automate reports, backups, and routine checks without keeping a chat window open.

4

Agent experiments

Compare local, containerized, and remote execution backends with explicit isolation boundaries.

FAQ from Hermes Agent

Hermes Agent Support & Company Information

Company
Nous Research
Contact
Open Contact

Social Links

  • GitHub
  • X
  • Discord

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Hermes Agent

Hermes Agent is an open-source AI agent from Nous Research. It is available as a terminal application and a native desktop app, with persistent memory, self-created skills, scheduled automation, messaging gateways, web tools, and isolated execution backends.

What it offers
  • Connect the same agent to Telegram, Discord, Slack, WhatsApp, Signal, email, and the CLI.
  • Keep persistent project memory and let the agent create reusable skills from successful work.
  • Schedule reports, backups, and briefings using natural-language instructions.
  • Delegate isolated tasks to subagents with their own conversations, terminals, and Python RPC scripts.
  • Use web search, browser automation, vision, image generation, text-to-speech, and multi-model reasoning.
  • Run tasks through local, Docker, SSH, Singularity, or Modal backends with sandboxing controls.

Hermes Agent is a strong option for technically minded users who want a persistent, extensible assistant they can run and inspect themselves. Check the current release, model-provider costs, and sandbox configuration before using it with sensitive data.

  1. Install Hermes Agent through the official script or download the desktop app for your platform.
  2. Configure a model provider and start with a small local project or test workspace.
  3. Connect only the messaging channels and tools you need.
  4. Let Hermes complete a few repeatable tasks, then turn successful patterns into skills or scheduled workflows.
  5. Review memory, delegated tasks, credentials, and sandbox settings regularly.
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