Open-source AI agent · tools · memory · automation

Hermes Agent with BlueteamForge turns conversational AI into operational action.

Use the best models — GPT, Claude, Gemini, local models or others — inside an environment that can read, create, execute, verify, remember and automate.

Provider-agnostic 60+ outils Reusable skills Multi-channel
Illustration bleue Hermes avec casque
The important shift

The model answers. Hermes acts around the model.

Hermes does not pretend to be magically “smarter” than GPT or Claude — that would be marketing, and slightly embarrassing. Hermes gives models a workstation: tools, files, browser, terminal, memory, scheduled tasks and communication channels.

Capabilities first

What Hermes can actually do

Before talking ROI, understand the raw capability: Hermes is an agent that can orchestrate real tools, not just write a polished answer.

Terminal & systems

Run commands, scripts, tests, installations, diagnostics and controlled processes.

📄

Files & documents

Read, write, fix and transform files; generate reports, slides, PDFs or artifacts.

🌐

Web & browser

Search, extract, open pages, interact with web interfaces and verify sources.

🧠

Persistent memory

Remember preferences, environment, conventions and useful context across sessions.

📚

Skills

Turn working procedures into reusable, improvable know-how.

Cron & automation

Schedule monitoring, reports, reminders and recurring tasks in natural language.

👥

Delegation

Launch isolated subagents to work in parallel on several subtasks.

🔌

MCP & integrations

Connect external tool servers: GitHub, databases, SaaS, internal APIs and business systems.

💬

Messaging gateway

Use Hermes from Desktop, CLI, Telegram, Discord, Slack, WhatsApp, email and more.

🎙

Voice & multimodal

Transcription, TTS, images, vision and video depending on enabled providers.

🔐

Profiles & control

Isolate configurations, memories, environments, permissions, secrets and use cases.

🧪

Verification

Read the result, rerun a test, inspect a file or validate an artifact before concluding.

The agent core

A simple loop: understand, act, verify, learn.

This loop is the difference between “here is a suggestion” and “here is a produced and verified result.” Hermes selects the required tools, executes, reads feedback, corrects if needed, then can preserve the procedure.

1Understand
2Act
3Verify
4Remember
Logo manga HermesHermes

Honest positioning

Hermes is not “better than ChatGPT”. Hermes is something else.

It can use the same models. The difference is the action environment, procedural memory and automation.

Criterion
ChatGPT / Claude alone
Hermes Agent
Reasoning
Very strong depending on the model
Depends on the selected model — can use the same ones
Actions
Often limited to the interface or proprietary plugins
Local/remote tools: files, terminal, browser, APIs
Memory
Conversational or platform memory
Memory, sessions, skills and reusable procedures
Automation
Mostly manual
Cron, webhooks, scripts, multi-channel delivery
Sovereignty
More dependent on one platform
Open-source, provider-agnostic, isolatable profiles
Risk
Less direct action surface
More powerful ⇒ requires least privilege and governance

Technical architecture

One agent, multiple models, channels and environments.

Hermes is interesting because it separates the brain, tools, channels and execution environment. You can adapt it without rewriting the whole system for each provider. Yes, it is more serious than an “AI” button taped onto a SaaS app.

Multi-provider

Choose the model by cost, sensitivity, quality or availability.

OpenAIClaudeGeminiOpenRouterNousLocal

Desktop app

Prepare the Hermes demo for tomorrow.
I create the plan, the assets and verify the rendering.
✓ browser · files · screenshot · zip
Hermes desktop pet capybara

Messaging gateway

The same agent can live where teams already work.

DesktopCLITelegramDiscordSlackEmailWhatsAppWebhooks

Kanban multi-agent

BacklogResearch MCPDeck export
DoingWebsite v2Security notes
ReviewBrowser QA
DoneAssets copied
Model layerprovider routing · fallbacks · local/cloud choices
Agent layerplanning · tool use · verification · memory
Tool layerterminal · files · browser · MCP · APIs
Channel layerdesktop · messaging · webhooks · scheduled jobs

Recommended demo

A 20-minute live scenario

The demo must show action capability, not just elegant conversation. Otherwise you might as well open a chatbot, wear a tie, and call it digital transformation.

01

Sourced research

Identify sources, extract key facts, summarize uncertainties.

02

Artifact creation

Produce a note, table, slide or usable file.

03

System action

Read a file, run a script, test, fix, rerun.

04

Automation

Create monitoring or a recurring reminder with targeted delivery.

05

Capitalization

Save the procedure as a skill if it works.

Hermes illustration

Then: professional use

Once the capabilities are understood, the gains become obvious.

Executivesbriefs, committee prep, risk summaries, decision follow-up
Managersreporting, coordination, documents, meeting preparation
Expertsdiagnostics, scripts, evidence, research, business automation
IT / Securitytriage, compliance, evidence, controls, technical documentation

Recurring uses observed

The tasks users most often give Hermes

A quick read of Hermes documentation and public user stories shows recurring uses around development, personal assistance, integrations, content creation, research and business operations.

Dev workflow65 stories

Modify code, run tests, fix errors, open PRs, monitor agents or workflows.

Personal assistant44 stories

Summarize inboxes, prepare agendas, post to Slack/Telegram, manage documents and reminders.

Integrations26 stories

Connect GitHub, Drive/Nextcloud, SaaS, MCP, APIs or internal tools.

Creative & content30 stories

Landing pages, posts, slides, briefs, images, assets and localized content.

Business ops16 stories

Periodic reports, monitoring, market summaries, administrative tasks and coordination.

Research & monitoring9+ stories

Web monitoring, source extraction, information comparison, daily briefings.

Sources consulted: Hermes Agent documentation, User Stories & Use Cases page, NousResearch/hermes-agent README. Figures reflect public categories visible at consultation time.

Business benefits

Why use it in a professional environment?

The value is not “having AI”. The value is reducing invisible friction: research, copy-paste, follow-up, formatting, verification and context loss.

01

Cycle-time reduction

Move faster from request to verified deliverable: brief, note, report, support item, script or summary.

02

Less copy-paste

Hermes can move between files, tools and channels. That is where minutes usually disappear, like socks in a washing machine.

03

Capitalization

Good procedures become skills. The organization does not start from zero at every meeting.

04

Better continuity

Memory, sessions, profiles and project context enable more stable follow-up than isolated chats.

05

Provider adaptability

Switch model or provider based on cost, quality, data policy or availability.

06

Operational control

Bounded actions, logs, approvals, dedicated environments and human validation when needed.

30–70%less friction on repetitive information tasks*
1→None useful procedure becomes reusable through skills
24/7monitoring and reports scheduled via cron/jobs

*Order of magnitude to measure in pilot. Not a magic promise; this is not a 2021 crypto pitch.

Governance

The more Hermes acts, the more explicit control must be.

This is not a weakness: it is the normal condition for a useful agent in a professional environment.

01Least privilege

Dedicated accounts, bounded access, environment separation.

02Data classification

Choose models and tools according to information sensitivity.

03Approvals

Human validation for sensitive actions and critical decisions.

04Traceability

Logs, sessions, artifacts, sources, verified results.

Practical trial

7 days to test Hermes on real work.

Goal: do not “evaluate AI” in the abstract. Install it, choose a messaging channel, then give Hermes concrete, measurable tasks.

J1Set up model, desktop/CLI, least privilege, first workspace.
J2Choose the channel: Telegram, Slack, Discord, email or Desktop. Test files/images.
J3Research + synthesis: monitoring, brief, sources, open questions.
J4Concrete document: note, web page, slide, report or usable table.
J5System action: read files, run script/test, fix, verify.
J6Automation: reminder, cron, periodic summary or light monitoring.
J7Review: time saved, quality, risks, tasks to keep, guardrails to add.
Back to top