Turn Hermes Into a Practical Superagent

The integrations and workflows that make Hermes useful beyond chat.

Hermes can feel underwhelming the first time you open it.

You send a message.

It replies.

You ask a question.

It answers.

And after a few minutes you can easily think:

Is this just ChatGPT or Claude inside Telegram?

That reaction makes sense if Hermes has nothing connected to it.

An agent without integrations is just a smart brain with no eyes, hands, workspace, or memory.

The useful version starts when Hermes can:

• look things up

• read your workspace

• remember your notes

• draft actions

• route tasks to the right mode

• run small scheduled workflows

The source I studied showed this through Hermes, Claude Code/Codex, Telegram, Obsidian, GitHub, Apollo, Gmail, Calendar, personas, and scheduled reflection.

The pattern is simple:

Hermes becomes useful when it moves from chat to workflow.

There are 4 jobs every serious setup needs.

Job 1: Capture

Capture is how Hermes gets ideas from your real life into the system.

In the source, this starts with Telegram.

Telegram gives Hermes a mobile interface, so you can message the agent when an idea shows up instead of waiting until you are back at your desk.

Example:

I just thought of a lead workflow for roofing companies. Save this idea, connect it to my Obsidian notes, and remind me to turn it into a test.

Why it matters:

Most useful ideas are not born inside your IDE.

They happen while walking, reading, talking, or working on something else.

If Hermes only lives on your computer, those ideas die before they become workflows.

Minimum setup:

• create the Telegram bot

• restrict it to your allowed user ID

• treat the bot token like a secret

• test with one simple message

Good test:

Hey Hermes, reply only if this message came from an allowed user.

What can go wrong:

If the bot is open to the wrong users, your “personal assistant” becomes a public endpoint.

Job 2: Research

Research is how Hermes gets context without you spoon-feeding it every detail.

From the source and the reference article, the research bucket includes tools like:

• web search or Firecrawl-style page extraction

• Reddit or community scanning

• YouTube transcript extraction

• Apollo for company and lead research

The exact tools can change.

The job stays the same:

Give Hermes eyes and ears on the outside world.

Example workflow:

Research Austin roofing companies. Find 20 businesses, summarize what each does, identify likely pain points, and rank which ones might be worth contacting. Do not collect personal contact details or draft outreach yet.

That one prompt is practical because it gives Hermes a bounded research task.

It does not say:

Go find leads and start emailing them.

That matters.

Research should come before action.

Useful research integrations:

• Web extraction: cleaner context from websites

• Reddit/community search: what people complain about or want

• YouTube transcripts: searchable notes from long videos

• Apollo/lead database: company discovery and prospecting context

Good test:

Use the connected research tool to summarize one company website and list 3 possible customer pain points.

If Hermes gives a generic answer, the integration is not doing real work yet.

Job 3: Workspace

Workspace is where Hermes touches the places you actually work.

This is the bucket that makes the agent feel less like a chatbot and more like an assistant.

From the source, this includes:

• Claude Code or Codex for coding work

• GitHub for repos, issues, PRs, and config backup

• Gmail for email search and drafts

• Calendar for meetings and availability

• Google Workspace-style docs/sheets if connected through your stack

• Discord or Slack-style channels if your business runs there

The key is permission design.

Hermes should not get the same power everywhere.

Gmail:

• search: yes, when scoped

• read relevant threads: yes, when needed

• draft email: yes

• send email: not by default

• delete email: no

Calendar:

• read events: yes

• find availability: yes

• propose events: yes

• delete events: confirmation required

GitHub:

• inspect repos: yes

• create backup repo: after confirmation

• open PRs: only if that is part of your workflow

• store secrets: never

Example workflow:

Check my Gmail for support emails from the last 24 hours. Group them by issue type. Draft replies for the urgent ones, but do not send anything. Save a summary in Obsidian.

This is where the workflow becomes useful.

Gmail gives the source.

Hermes classifies.

Obsidian stores the pattern.

Human approval protects the external action.

Good test:

What is on my calendar today?

Then:

Draft a short prep note for the next meeting using only the calendar title and any related notes you can find.

If Hermes can answer both, the workspace layer is starting to work.

Job 4: Memory

Memory is what stops Hermes from being useful once and forgetful forever.

In the source, Obsidian is the main memory layer.

That is the right instinct.

Obsidian gives Hermes an inspectable knowledge base:

• raw sources

• compiled notes

• project context

• writing drafts

• user profile

• recurring decisions

• agent rules

The important detail:

Do not treat raw chat logs as memory.

Raw logs are noisy.

Memory should be compiled.

Example:

Raw input:

I want this newsletter to be less philosophical and more practical, with examples and technical use cases.

Compiled memory:

- User prefers practical technical writing over abstract AI philosophy.
- When rewriting content, include concrete tools, workflows, examples, and failure modes.
- Mark source gaps instead of inventing missing implementation details.

That is useful memory.

It changes the next output.

Obsidian workflow:

• Full transcript: Sources

• Durable concept: Learning

• Active build plan: Projects

• Newsletter draft: Writing

• Visuals and exports: Files

Good test:

Find the study note about the Hermes agent bridge and summarize the three safest connector rules.

If Hermes can do that, it is reading your memory layer instead of only answering from the current chat.

The 12 Practical Integrations To Think About

Use this as a practical menu, not a claim that every tool is required.

Start with the tools that match your workflow.

• Capture - Telegram: Talk to Hermes from your phone

• Research - Web extraction / Firecrawl-style tool: Read websites cleanly

• Research - Reddit/community search: Find real user complaints and demand

• Research - YouTube transcripts: Turn videos into searchable notes

• Research - Apollo: Find companies and prospecting context

• Workspace - Claude Code / Codex: Work with repos and implementation context

• Workspace - GitHub: Issues, PRs, repo backup, config versioning

• Workspace - Gmail: Search emails and create drafts

• Workspace - Calendar: Read schedule and prepare meetings

• Workspace - Google Drive / Docs / Sheets: Work inside documents and structured files

• Workspace - Discord / Slack: Push summaries into team channels

• Memory - Obsidian: Long-term inspectable memory

The point is not “connect all 12 today.”

The point is to cover all 4 jobs:

• capture

• research

• workspace

• memory

Miss one bucket and Hermes goes blind in that direction.

Where It Gets Powerful: Chaining

One integration is useful.

The real jump happens when Hermes chains three or four together.

Workflow 1: Support Triage

Prompt:

Every morning, scan support emails from Gmail. Group them by issue type and priority. Draft replies for the urgent ones. Save the top recurring issues in Obsidian. Do not send replies.

Tools:

• Gmail

• Obsidian

• scheduled job

Output:

• urgent issues

• draft replies

• recurring problem list

• root-cause note

Workflow 2: Prospecting Brief

Prompt:

Use Apollo and web research to find 20 Austin roofing companies. Summarize what each company does, likely pain points, and why they may be a fit. Rank the top 5. Do not collect personal contact data or draft outreach yet.

Tools:

• Apollo

• web extraction

• Obsidian memory

Output:

• company list

• pain points

• top picks

• next-step recommendation

Workflow 3: Weekly Business Review

Prompt:

Every Monday, pull the key numbers from connected business tools, summarize what changed from last week, and post a short review note. Do not make changes to billing, customers, posts, or campaigns.

Tools:

• payment/business dashboard connector if available

• social/workspace connector if available

• Obsidian or Discord/Slack

• scheduled job

Output:

• week-over-week summary

• anomalies

• follow-up questions

• one suggested action

Workflow 4: Coding Handoff

Prompt:

I captured this feature idea on Telegram. Turn it into a project note, connect it to the relevant repo context, and prepare a Claude/Codex implementation brief. Do not edit files yet.

Tools:

• Telegram

• Obsidian

• GitHub

• Claude Code/Codex

Output:

• project note

• repo context

• implementation brief

• open questions

That is the practical bridge.

Not one agent doing everything.

Several tools passing the right context through Hermes with approval boundaries.

How To Plug One In

Use the simple loop.

Step 1: Ask Hermes what it needs

Prompt:

Hey Hermes, I want to connect Gmail. What do you need from me?

Depending on the tool, the answer might be:

• OAuth

• API key

• MCP connector

• local path

• environment variable

• CLI authentication

Do not guess.

Let the agent tell you the required path, then verify sensitive steps yourself.

Step 2: Store secrets outside chat

API keys and bot tokens should not go into:

• chat logs

• Obsidian notes

• GitHub repos

• screenshots

• public content packages

Use environment variables or a secret manager.

Step 3: Test the tool directly

Ask a question that only the tool can answer.

Examples:

What is on my calendar today?

Find the last email from this client.

Pull the last 5 companies matching this search.

Read this Obsidian note and summarize the action items.

If it gives a generic answer, the integration is not live.

Step 4: Chain one more tool

Once one tool works, add a second.

Example:

Find support emails in Gmail and save the recurring issues into Obsidian.

Now Hermes is not just answering.

It is moving context between systems.

Step 5: Add approval rules

Before you automate, write the boundaries.

Example:

Allowed:
- read email
- draft replies
- summarize notes
- create internal notes

Requires approval:
- send email
- publish content
- delete files
- create external events
- modify repos

This is what keeps the superagent useful instead of dangerous.

The Main Rule

Do not judge Hermes after opening a blank agent.

Judge it after you connect:

• one capture surface

• one research tool

• one workspace tool

• one memory system

• one approval rule

That is when the chatbot starts turning into a workflow engine.

Start small.

Connect one tool.

Test it.

Then chain it with memory.

That is the point where Hermes stops being “AI in Telegram” and starts becoming a practical operating layer for your work.