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Hermes Agent Technical and Industry Guide

Hermes Agent: a complete guide from installation to production deployment

Hermes Agent is not merely a chat model. It is an open-source automation layer that combines terminal, files, browser, web, memory, skills, scheduled tasks, messaging channels and MCP tools inside one agent loop. This guide explains what it is, how its architecture works, how to install it, how to configure it safely and how to turn it into practical workflows across industries.

Hermes Agent and the Hermes language-model family are not the same product. This page covers the agent software developed by Nous Research.
hermes@eka:~
$hermes --version

v0.18.2

$hermes doctor

✓ runtime   ✓ provider   ✓ tools   ✓ gateway

$hermes chat --toolsets debugging

Ready: web + file + terminal

MITv0.18.26 backends
v0.18.2Current stable release when this page was prepared
73+Approximate tools in the current built-in registry
6 BACKENDLocal, Docker, SSH, Modal, Daytona and Singularity
20+ KANALMessaging platforms through one gateway
Page map

One guide from installation to industry automation

01
Core concept

What is Hermes Agent and how is it different from a chatbot?

A conventional chatbot produces text. An agent decomposes objectives, calls tools, reads real systems, verifies output and continues when needed. Hermes Agent provides that loop as a provider-independent, multi-channel and extensible runtime.

More than a chat interface

It plans a task, selects tools, inspects results, delegates subtasks when needed and continues execution inside the same session.

Access to real execution environments

Commands can run locally, in an isolated Docker container, on a remote server over SSH or in cloud sandboxes.

Persistent, curated memory

It stores preferences and environment facts in bounded memory files while keeping longer procedures in on-demand skills.

Scheduled agent tasks

It runs one-shot or recurring tasks from natural language or cron expressions and delivers results to a selected channel.

Extensible through MCP

External tool servers such as GitHub, filesystems, databases, browsers and enterprise APIs can be loaded dynamically.

Permission layers for production

It provides user allowlists, dangerous-command approval, write boundaries, container isolation and MCP environment filtering.

Set the right expectation

Hermes does not know your business process by default. Strong results require deliberate design of data access, tool permissions, SOUL.md, project context, skills, verification criteria and human approval.

02
How it works

How does a Hermes task run end to end?

01

Input and context

A request from CLI, desktop, dashboard or messaging is combined with SOUL.md, project context, memory, active skills and session history.

02

Model provider

The model is called through Nous Portal, OpenRouter, Anthropic, OpenAI Codex, GitHub Copilot, Ollama, vLLM or another compatible endpoint.

03

Tool selection

The model selects web, files, terminal, browser, memory, cron, media or MCP tools from enabled toolsets.

04

Permission and safety checks

Command risk, file paths, session authorization, platform allowlists and sandbox rules are evaluated before execution.

05

Execution and observation

Tool output returns to the model. The agent can analyze errors, try another route or delegate subtasks.

06

Verification and learning

Tests, logs and objectives are verified; durable preferences can become memory, procedures can become skills and recurring work can become cron jobs.

03
Business use cases

Where can Hermes Agent be used across industries?

The examples below are not prebuilt products. They are practical architecture patterns derived from Hermes capabilities and integrations. Data sources, permissions, validation and human approval must be designed for each industry.

Software and DevOps

Development, testing, release and server operations

It can inspect repositories, install dependencies, run tests, analyze logs and prepare controlled change plans.

Example flowRead repository → reproduce → fix → tests and lint → change summary
IntegrationsGitHub MCP, terminal, file, browser, cron, SSH
Use a restricted service account, dedicated workspace and manual approval instead of root in production.
Hosting and VPS

Server monitoring, log analysis, backup and maintenance automation

It can periodically inspect disk, memory, services, SSL expiry, failed cron jobs and web-server logs.

Example flowConnect over SSH → read-only health check → threshold analysis → alert → human approval
IntegrationsSSH, cron, Telegram, Discord, ntfy, Email
Restrict deletion, updates and service restarts with cron_mode deny and separate approval.
E-commerce

Product, order, inventory and operations assistant

It can classify product data, report inventory mismatches, draft content and route requests to the right team.

Example flowRead API data → detect anomalies → prepare changes → request approval → apply
IntegrationsREST API, database MCP, browser, cron, Slack
Restrict tools that change price, inventory or order state with role-based approval and allowlists.
Travel and VIP Transfer

Booking validation, operations planning and customer communication

It can validate bookings, verify flights, prepare vehicle and driver plans and notify staff about missing data.

Example flowRead booking → verify flight and route → create operation card → send to staff
IntegrationsBooking API, browser, Email, Slack, WhatsApp gateway
WhatsApp and SMS must enforce explicit consent, platform policy and personal-data minimization.
Hotels and Hospitality

Occupancy, check-in/out and guest-request operations

It can summarize PMS data, classify early check-in requests, prepare housekeeping lists and deliver shift briefs.

Example flowRead PMS data → group arrivals/departures → department tasks → shift report
IntegrationsPMS API, Email, Teams, Slack, cron
Do not expose passport, identity or payment data; use only operationally necessary fields.
Agency and Marketing

Research, content, publishing calendars and performance summaries

It can research sources, create briefs, draft multilingual content, schedule work and summarize campaign metrics.

Example flowVerify sources → load brand skill → draft → editorial approval → performance report
IntegrationsWeb, browser, skills, cron, marketing APIs
Do not publish unsupported claims; create original material instead of copying copyrighted content.
Customer Support

Ticket classification, response drafting and escalation

It can classify requests by topic and priority, draft grounded responses and escalate critical cases.

Example flowRedact PII → category and urgency → knowledge base → draft → human approval
IntegrationsEmail, Slack, Teams, Matrix, ticketing MCP
Do not make the agent the sole decision-maker for refunds, closures or contract changes.
Real Estate

Listing validation, lead qualification and appointment preparation

It can validate listings, identify missing fields, classify buyer needs and prepare advisor briefings.

Example flowValidate listing → structure criteria → score matches → advisor brief
IntegrationsCRM MCP, calendar API, Email, browser
Credit eligibility, legal status and price guarantees require expert validation.
Education

Course content, research, assessment and student assistance

It can summarize resources, generate level-appropriate exercises, prepare assessment drafts and schedule reviews.

Example flowLoad curriculum → determine level → create content → teacher approval → publish
IntegrationsFiles, browser, memory, cron, messaging
Keep teachers in grading and discipline decisions; isolate student data in a separate profile.
Healthcare Operations

Appointment, documentation and administrative support

It can support reminders, document checks and general information, but must not diagnose or decide treatment.

Example flowDe-identified data → appointment check → standard draft → escalate clinical question
IntegrationsCalendar, Email, SMS gateway, internal API
Verify legal compliance, data residency and provider contracts before processing health data.
Manufacturing and IoT

Shift summaries, maintenance signals and device operations

It can summarize sensor and maintenance data, flag anomalies and run authorized Home Assistant automations.

Example flowRead telemetry → trend analysis → maintenance alert → approval for critical command
IntegrationsHome Assistant, MQTT bridge, database MCP, cron
Never grant unilateral control over PLC, motor or power commands that affect physical safety.
Cybersecurity

Authorized security analysis and incident-response support

It can support log correlation, IOC research, configuration review and incident reporting.

Example flowScope and authorization → read-only evidence → severity and confidence → change management
IntegrationsTerminal, SSH, web, SIEM MCP, ticketing
Use only on explicitly authorized systems; never for unauthorized scanning or destructive actions.
No industry matches this search.
04
Installation guide

Windows, Linux, macOS, WSL2, VPS and Docker installation

Easiest start

Windows and macOS desktop

Hermes Desktop provides both the desktop application and command-line experience.

hermes desktop
Official quick install

Linux, macOS, WSL2 and Termux

The official installer prepares the Python environment and supporting dependencies.

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Native Windows CLI

Windows PowerShell

Run the official PowerShell installer, then validate from a new terminal with doctor.

iex (irm https://hermes-agent.nousresearch.com/install.ps1)
When Python is ready

Install from PyPI

An isolated virtual environment reduces dependency conflicts.

python -m venv .venv source .venv/bin/activate pip install -U hermes-agent hermes
VPS and production

Persistent gateway with Docker

The agent runs in a container while config, keys, sessions, memory, skills and cron remain under ~/.hermes on the host.

docker run -d \ --name hermes \ --restart unless-stopped \ -v ~/.hermes:/opt/data \ nousresearch/hermes-agent:latest gateway run
A
Safe setup sequence

What should happen after installation?

01

Prepare a dedicated service user

Do not run continuously as root; grant only required directories and commands.

02

Run doctor after installation

Validate Python, Node, ffmpeg, ripgrep, configuration and provider status.

03

Select at least one model provider

Use hermes model or hermes setup --portal; store keys in ~/.hermes/.env rather than source code.

04

Choose terminal backend by risk

Use local for personal testing; prefer Docker, SSH or a managed sandbox for production, client data and automation.

05

Enable toolsets with least privilege

Prefer task-specific sets such as web, file, terminal or safe instead of all.

06

Test gateway and cron jobs

Validate delivery, failure, restart and approval behavior before production.

Runnable example

Initial validation commands

Checks installation, health, model and tool status.

hermes --version
hermes doctor
hermes model
hermes tools
hermes profile
Runnable example

Docker Compose production baseline

Runs the gateway with persistent state and automatic restart.

services:
  hermes:
    image: nousresearch/hermes-agent:latest
    container_name: hermes
    restart: unless-stopped
    command: gateway run
    ports:
      - "8642:8642"
      - "9119:9119"
    volumes:
      - ~/.hermes:/opt/data
    environment:
      - HERMES_DASHBOARD=1
Runnable example

Safe baseline config.yaml

Uses the Docker backend, smart approvals and cron deny.

terminal:
  backend: docker
  cwd: /workspace
  timeout: 180

approvals:
  mode: smart
  timeout: 60
  cron_mode: deny
  mcp_reload_confirm: true
  destructive_slash_confirm: true
Runnable example

Gateway service commands

Configures platforms, installs the service and follows logs.

hermes gateway setup
hermes gateway install
hermes gateway start
hermes gateway status
tail -f ~/.hermes/logs/gateway.log
05
Models and settings

Provider selection, API keys and config.yaml structure

ProviderSetupBest suited for
Nous Portalhermes setup --portalModel plus four tool-gateway capabilities through one OAuth flow
OpenRouterOPENROUTER_API_KEYTrying multiple models through one API
Anthropichermes modelUsing Claude through OAuth or API key
OpenAI Codexhermes modelCodex-focused work through ChatGPT OAuth
GitHub Copilothermes modelModel access through GitHub device flow or CLI auth
OllamaYerel OpenAI uyumlu endpointKeeping inference local and reducing internet dependency
vLLMSelf-hosted OpenAI uyumlu endpointHigh-volume private model serving on GPU infrastructure
~/.hermes/

Hermes state directory

This is the source of truth for configuration, credentials, memory, skills, cron, sessions and logs. Build backups around it.

~/.hermes/
├── config.yaml
├── .env
├── auth.json
├── SOUL.md
├── memories/
├── skills/
├── cron/
├── sessions/
└── logs/
06
Capability layer

Built-in tools, toolsets and terminal backends

Web

web_search, web_extract

Current-source discovery and content extraction

File

read_file, write_file, patch, search_files

Reading, creating, modifying and searching files

Terminal

terminal, process, read_terminal

Command execution and process management

Browser

browser, CDP

Interactive web and browser automation

Media

vision, image_gen, video, tts

Vision analysis, generation, video and speech

Memory

memory, session_search

Persistent facts and cross-session search

Skills

skill_view, skill_manage, skills_list

Procedures loaded on demand

Delegation

delegate_task

Splitting work across isolated subagents

Cron

cronjob

Recurring and one-shot agent tasks

Home Assistant

homeassistant

Authorized smart-home and IoT actions

MCP

mcp_<server>_<tool>

Dynamic capabilities from external tool servers

Toolset policy

Do not expose every tool on every channel. Configure sets per task and platform. A customer bot may disable terminal while an internal CLI enables debugging.

BackendWhere it runsIsolationBest use
localThe host running HermesNonePersonal development and trusted tasks
dockerPersistent isolated containerHighProduction, testing and safer execution
sshRemote serverNetwork and user boundaryVPS management and remote compute
modalCloud sandboxCloud VMEphemeral workloads and evaluations
daytonaManaged workspaceManaged containerTeam development environments
singularityApptainer/Singularity containerNamespaceHPC and shared systems
07
Learning and separation

Memory, skills, session search and independent profiles

MEMORY.md2.200

Character budget for environment facts, project rules and compact durable notes.

USER.md1.375

Character budget for user preferences, communication style and expectations.

SkillsON-DEMAND

Long procedures load only when relevant.

SessionsFTS5

SQLite full-text search retrieves relevant past sessions.

MEMORY

Short facts needed in every session

User preferences, environment facts, project rules and durable working standards.

SKILLS

Procedures loaded only when relevant

Installation, troubleshooting, brand voice, industry processes and repeatable tool sequences.

coder

Coding and DevOps agent

Separate Git/SSH tooling, project skills and technical memory.

support

Customer-support agent

Knowledge base, restricted messaging and personal-data rules.

research

Research agent

Web, browser, source-validation skill and a separate budget.

operations

Operations agent

Cron, reporting channels and only required API scopes.

A profile is not a sandbox

A profile separates Hermes state. Local may still share OS-user access. Real isolation also requires separate backends, OS users, containers and credential scopes.

08
Multi-channel operation

Hermes across messaging platforms through one gateway

TelegramDiscordSlackWhatsAppSignalSMSEmailHome AssistantMattermostMatrixDingTalkFeishu / LarkWeComWeixinBlueBubbles / iMessageQQYuanbaoMicrosoft TeamsLINEntfyBrowser
01

Add platforms through the wizard

hermes gateway setup shows configured platforms and offers to start the service.

02

Restrict user authorization

Use DM pairing and allowlists; do not expose terminal and file tools in public channels.

03

Choose toolsets per platform

CLI may use broader tools while customer messaging exposes only safe, necessary tools.

04

Monitor service and logs

Use systemd on Linux or launchd on macOS and forward gateway logs centrally.

Messaging security

The ability to message a bot must not imply permission to run terminal, file, database or enterprise API tools. Validate platform identity and tool authorization separately.

09
Scheduled agent tasks

Automate recurring checks, reports and operations with cron

every 2h

Server health brief

Check disk, memory, load, failed services and critical logs; report evidence and next steps when needed.

0 9 * * *

Daily e-commerce report

Summarize yesterday's orders, cancellations, refunds, low stock and failed payments; change nothing.

daily 06:30

Transfer operations brief

Order today's transfers, flag missing flight or vehicle information and send to operations.

Monday 08:00

SSL expiry check

Report SSL certificates expiring within 30 days with domain, date and verification method.

Friday 15:00

Weekly industry research

Research important developments from the last week using primary sources and create an executive summary.

no-agent

Script delivery without an LLM

Run a prepared script and deliver stdout unchanged to the target channel.

Scheduling example

Cron jobs from the CLI

Natural language, classic cron and manual trigger examples.

hermes cron create "every 2h" "Check server status and report actionable risks"
hermes cron create "0 9 * * *" "Prepare the daily operations brief"
hermes cron list
hermes cron run <job-id>
hermes cron pause <job-id>
hermes cron resume <job-id>
10
External system connections

MCP, custom API and integration architecture

Model Context Protocol exposes external tool servers through a standard interface. A server must not be trusted merely because it works; review source code, tool manifests, credential scope and allowed_tools.

GitHub

Exposes issues, pull requests, repository search and project operations as tools.

Database

Custom MCP can provide read-only queries, reporting or controlled procedures.

Filesystem

Provides file workflows restricted to explicit roots.

Enterprise API

Turns CRM, ERP, PMS, accounting or support systems into narrow tools.

Integration example

Filesystem MCP configuration

A baseline example exposing only a specified project directory.

mcp_servers:
  filesystem:
    command: npx
    args:
      - -y
      - @modelcontextprotocol/server-filesystem
      - /home/hermes/projects
    allowed_tools:
      - read_file
      - list_directory
      - search_files
Integration example

Profile and MCP management

Creates an independent agent profile and an MCP preset.

hermes profile create coder
coder setup
coder chat
hermes mcp add codex --preset codex
hermes mcp list
hermes mcp serve
11
Production topologies

VPS, Docker, SSH, multi-profile and cloud deployment patterns

Personal assistance, coding and evaluation

Single-user local install

Desktop veya CLI + local backend

Fastest setup; the local backend may access files available to the OS user.

Safer coding, testing and client projects

Docker sandbox architecture

Host Hermes + docker backend

The agent runs on the host while commands execute in a persistent hardened container.

Messaging bots, cron and always-on operations

Always-on gateway on a VPS

Docker Compose + ~/.hermes + reverse proxy

Use a service user, firewall, TLS, backups, log rotation and monitoring.

Hosting fleets and multi-environment operations

Central agent with remote servers

Gateway VPS + SSH backend

Use separate users and restricted sudo policies on each target; rotate keys.

Department and client separation

Multi-profile enterprise layout

Ayrı HERMES_HOME + ayrı credentials

Profiles separate state but are not sandboxes; restrict backend and workspace separately.

Ephemeral analysis, evaluations and heavy compute

Cloud sandbox and GPU

Modal veya Daytona backend

Monitor hibernation, timeouts, data residency and cost settings.

Recommended production sequence

Start as observer, then assistant, then restricted executor

  1. READ ONLYRead and report only
  2. DRAFTPrepare action or message drafts
  3. APPROVALExecute after human approval
  4. BOUNDED AUTOAutomate only low-risk work
12
Defense in depth

How should Hermes Agent production security be designed?

01

User authorization

Allowlists, DM pairing and private-channel policies.

02

Dangerous command approval

smart, manual or off; use smart/manual in production and deny for cron.

03

File-write boundaries

Protected paths and HERMES_WRITE_SAFE_ROOT restrict targets.

04

Container isolation

Capability dropping, no-new-privileges, PID and tmpfs limits.

05

MCP credential filtering

Only safe and explicitly configured environment variables reach subprocesses.

06

Context-file scanning

Checks project files for prompt injection and suspicious instructions.

07

Session isolation

State separation across platforms, users and cron sessions.

08

Working-directory validation

Validates backend paths against allowlists to reduce shell-injection risk.

Production checklist

Complete these items before going live

No single switch makes an agent safe. Identity, network, operating system, tools, model, data, process and human approval must be designed together.

  • Run Hermes as a dedicated service user rather than root.
  • Do not set approvals.mode to off or use --yolo in production.
  • Prefer Docker or a restricted SSH account for terminal execution.
  • Use separate profiles, .env files and API keys per client or department.
  • Enable toolsets per platform with least privilege.
  • Define allowed_tools and explicit environment variables for MCP servers.
  • Do not place secrets, private keys or client data directly in prompts.
  • Run cron jobs manually first and verify their output.
  • Back up config, memory, skills, cron and session directories regularly.
  • Forward gateway and terminal logs to centralized monitoring.
  • Use short-lived, scoped and rotatable API tokens.
  • Keep human approval for payment, healthcare, legal and physical-safety decisions.
--yolo is not a production setting

approvals.mode: off disables dangerous-command approvals. Consider it only in fully isolated, disposable and trusted CI/container environments, never on client data, primary servers or messaging gateways.

13
Practical tasks

Professional task examples for Hermes

DevOps

DevOps incident investigation

Investigate the increase in 5xx errors during the last 30 minutes using read-only commands only. Correlate Nginx, PHP-FPM and system resources by timestamp. Do not restart services. Report evidence, likely root cause, confidence and the next step requiring approval.
Coding

Repository repair workflow

Analyze the project, reproduce the issue with existing tests, write a change plan, modify only relevant files, then run tests and lint. Do not hide failing tests. Summarize changed files and verification output.
Hosting

Daily hosting health report

Check managed servers for disk above 80%, inode above 75%, SSL under 30 days, sustained load for 10 minutes and failed systemd services. Summarize healthy results briefly and provide evidence for actionable issues.
Travel

VIP transfer operations plan

Order today's confirmed bookings by time. Validate flight number, terminal, passenger count, luggage, vehicle and driver. List missing or conflicting records separately. Do not message customers; prepare a draft for operations only.
E-commerce

E-commerce inventory anomaly

Compare items sold in the last 24 hours with inventory movements. Find negative stock, high cancellation, zero price and order-inventory mismatches. Do not modify data; report SKU, evidence and recommended validation.
Support

Customer-support triage

Classify new tickets into technical, billing, sales, security and general categories. Prioritize urgent security or data-loss signals. If no verified knowledge-base answer exists, do not invent a definitive answer and escalate for human review.
Research

Source-grounded industry research

Split the topic into regulation, official documentation, research and market data. Find current primary sources for each. When sources conflict, present both views and label inferences.
Security

Authorized security review

Review only the specified project directory for dependency risk, secret leakage, incorrect permissions and unsafe configuration. Do not scan networks or contact external systems. Report file, line, impact and a safe remediation recommendation.
14
Diagnosis and repair

Common Hermes Agent installation problems

hermes command not found

Likely cause

The install directory may not be in PATH or the terminal may need reopening.

What to check

Open a new terminal, apply PATH configuration and run hermes doctor.

Model call returns 401/403

Likely cause

The API key, OAuth session, model entitlement or provider name is invalid.

What to check

Re-select the provider with hermes model, then verify ~/.hermes/.env permissions and quota.

Tools are missing

Likely cause

The toolset may be disabled, the platform preset restricted or credentials missing.

What to check

Inspect enabled sets with hermes tools and enable only what is required.

Docker backend cannot run commands

Likely cause

The Docker daemon, user group access, image pull or mount path may be failing.

What to check

Validate the host with docker info and docker ps, then check cwd and mount paths.

Gateway receives no messages

Likely cause

The token, webhook/polling, allowlist, DM pairing or service state may be wrong.

What to check

Check hermes gateway status and gateway.log, then validate platform setup.

Cron ran but no result arrived

Likely cause

Delivery target, channel ID, toolset or an agent failure may be involved.

What to check

Run the job manually with hermes cron run and test execution and delivery separately.

MCP server does not start

Likely cause

The command, package manager, cwd, environment or OAuth setup may be invalid.

What to check

Run the same MCP command outside Hermes, explicitly define required env values and filter tools.

The agent operates in the wrong directory

Likely cause

Profile directory and terminal.cwd are different; local may use the launch directory.

What to check

Set an absolute terminal.cwd for each profile and configure sandbox boundaries separately.

15
Frequently asked questions

Clear answers about Hermes Agent

Is Hermes Agent free and open source?

The codebase uses the MIT license. Model providers, web tools, messaging services, VPS, GPU and third-party APIs may still cost money.

Is Hermes Agent an AI model?

No. It is an agent runtime and tool layer that connects to Nous Portal, OpenRouter, Anthropic, Ollama, vLLM or another supported provider.

Does it run on Windows?

Yes. Use Hermes Desktop or the official PowerShell installer. WSL2 or Docker may be more consistent for Linux-dependent workflows.

Can it run continuously on a VPS?

Yes. Docker or a service install can run gateway, cron and messaging continuously. Use persistent state, backups, log rotation, monitoring and a service account.

Can it run offline with a local model?

Core agent functions can use local endpoints such as Ollama or vLLM. Web, cloud browser, messaging and external APIs may still require internet.

Is Hermes Agent secure?

It provides defense-in-depth controls, but no LLM agent should be considered safe with unrestricted production access. Combine least privilege, sandboxing, allowlists, human approval, backups and monitoring.

Does a profile fully isolate client data?

Profiles separate config, memory, sessions, skills, cron and state. Local may share OS-user filesystem access. Real isolation requires a separate backend, user or container.

Can a cron job run without an LLM?

Yes. No-agent mode can run a prepared script on schedule and deliver stdout directly.

Why use MCP?

MCP adds GitHub, database, CRM, ERP or custom API operations through standard tool schemas. Review source code, tools and credential scope.

Can Hermes be used through WhatsApp?

The gateway supports WhatsApp among many platforms. Customer messaging still requires policy, consent, personal-data and authorization controls.

Can multiple agents run on one server?

Yes. Profiles use separate HERMES_HOME, config, memory, sessions, skills and gateway state. Plan resources, ports, credentials and workspaces.

Does this page guarantee a number-one Google ranking?

No. Content and technical SEO provide a strong foundation, but rankings cannot be guaranteed. Freshness, performance, crawlability, internal links, authority and user value all matter.

16
Official sources

Verify versions and features before deployment

Hermes Agent evolves rapidly. Version, tool-count and platform information was verified on July 28, 2026. Recheck official releases and documentation before production.

17
Internal topic links

Continue to related technical guides

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