Voron BUFFΞTT 🦇🔊

🙂

[Teknium 🪽 @Teknium]

New optional skill available in Hermes Agent.

Unbroker teaches Hermes Agent how to find your personal info on data brokers platforms and get it taken down.

Learn more:

[ElevenLabs Developers @ElevenLabsDevs]

https://t.co/iSO230PVEi

[AI Edge @aiedge_]

This is the most underrated Hermes agent prompt.

Send this to Hermes, and your agent becomes your 24/7 personal executive assistant.

Monitors your upcoming meetings, task list, travel updates & more.

One of the best Hermes use cases:

[Jota @jota_snchez]

Una profesora de Stanford lleva 20 años estudiando por qué algunas personas tienen más suerte.

Su conclusión: la suerte no es azar. Es como el viento: hay que ponerle vela.

Si quisiera tener más suerte, haría estas 7 cosas:

1/ Salir de mi zona de confort con micro-riesgos.

[YanXbt @IBuzovskyi]

HERMES AGENT HAS 5 SYSTEMS
RUNNING UNDER THE HOOD.
UNDERSTAND THEM AND YOU USE
THE AGENT 10X BETTER.

In this video @_alejandroao explained:

1. THE AGENT LOOP

every message triggers the same cycle:

→ you send a message
→ Hermes builds context
(SOUL.md + memory.md + user.md + skills
+ tools + message history)
→ sends everything to the LLM
→ LLM decides: call a tool or respond
→ if tool call: execute, return result, loop back
→ if response: deliver to you
→ after response: memory update
(agent checks if anything is worth remembering,
writes to memory.md or user.md)

this loop is why Hermes gets better over time.
the memory update after every response
means the agent learns from every conversation.

2. CONTEXT ASSEMBLY

what the LLM sees on every turn:

→ SOUL.md (your agent's personality and rules)
→ memory.md (facts the agent learned over time)
→ user.md (facts about you, auto-updated)
→ AGENTS.md and .hermes.md (project context files)
→ skill descriptions (loaded on demand)
→ tool schemas (available actions)
→ message history (current conversation)

if SOUL.md is empty, Hermes falls back
to a default system prompt.
write your own SOUL.md and the agent
becomes yours, not generic.

CONTEXT COMPRESSION:

conversations hit context limits.
Hermes handles this at two checkpoints:

preflight: before each turn.
if conversation exceeds 50% of context window,
compression fires. older messages get summarized.
last 20 messages stay intact (protect_last_n).

gateway auto-compression: between turns.
fires at 85%. more aggressive.
prevents API errors before the agent
even starts processing your message.

after compression, a new session lineage ID
is generated. the agent can trace back
to the original conversation through SQLite.

three things break prompt cache:
switching models mid-session,
changing memory files,
or changing context files.

3. THE GATEWAY

the system that keeps Hermes reachable
on 27+ messaging platforms.

an async loop runs continuously.
listens for incoming messages from
Telegram, Discord, Slack, WhatsApp,
email, SMS, and every other adapter.

when a message arrives:
→ gateway identifies which session it belongs to
→ queries SQLite for the full message history
(session ID = platform prefix + chat ID)
→ builds the context from scratch
→ sends everything into the agent loop
→ delivers the response back to the platform

the gateway also runs the session manager.
when you send a message while the agent is busy:
→ default: queued for next turn
→ /steer: injected without interrupting
→ /interrupt: stops current work

without the gateway, Hermes is a CLI tool.
with the gateway, Hermes is an always-on agent
you reach from your phone.

4. MEMORY (THREE LAYERS)

LAYER 1 — MARKDOWN FILES
SOUL.md (identity), memory.md (learned facts),
user.md (facts about you).
injected into context after the system prompt.
updated by the agent after every response.

LAYER 2 — SQLITE
full transcripts of every session stored locally.
FTS5 full-text search across all past conversations.
session lineage tracking across compressions.
the agent can recall what you discussed
weeks ago using /recall or session search.

LAYER 3 — EXTERNAL PROVIDERS (optional)
8 supported providers: Mem0, SuperMemory,
Honcho, Zep, and more.
each works differently (semantic search,
LLM extraction, similarity matching).
queried after the first message in each session.
the agent processes your topic first,
then checks external memory for related context
from past conversations.

not enabled by default.
enable for significantly better long-term recall.

5. CRON ENGINE

a loop inside the gateway ticks every 60 seconds.
each tick checks ~/.hermes/cron/jobs.json
for scheduled tasks.

if a job is due:
→ fresh session (no chat history, no memory pollution)
→ execute the prompt with assigned tools
→ store the run output as markdown
in ~/.hermes/cron/output/[job-id]/
→ deliver result to your home messaging platform

cron does NOT use the send_message tool.
delivery happens at the system level, not the agent level.

a cron session cannot create more cron jobs.
prevents runaway loops.

WHY THIS MATTERS:

the agent loop teaches it.
the context assembly focuses it.
the gateway reaches it.
the memory remembers it.
the cron engine automates it.

five systems. one agent.
understanding how they connect
changes how you configure every level.

full 15 levels breakdown in the article 👇

[Vadim @VadimStrizheus]

Do you understand what just happened??

A secret team from Europe just launched Workers: AI employees with their own identity, email, phone, Slack, Teams, browser, and memory.

They can:

• answer emails
• follow up with leads
• update CRMs
• coordinate meetings
• move info between tools
• take initiative without being prompted

The future of startups is here.

[Shann³ @shannholmberg]

how Gbrain works (made with Hermes Agent manim skill)

put together a quick walkthrough of @garrytan's gbrain, the knowledge layer behind my agents

raw information goes in on its own, meetings, chats, x, transcripts. it ingests, enriches every person and company it finds, and consolidates overnight on its own dream cycle

[Hermes Updates @hermes_updates]

Thanks to everyone that posted in my thread to share their favorite underrated Hermes features! Compiled as a living list below, please do share more for me to add!

And thanks as always to @NousResearch @Teknium for creating Hermes! 🙏

[Luke The Dev @iamlukethedev]

Hermes Bible is live.

A community-built place to search Hermes Agent docs and real workflows in seconds.

169 docs pages.
24 community flows.
Instant ⌘K search.

Unofficial.
Community-built.
Not affiliated with @NousResearch

I built this because the Hermes community is moving fast, and the best workflows should not get buried in X Articles, Discord, or random posts.

Read the docs.
Study the flows.
Submit your own.

If your flow gets added, I’ll link back to your X profile.

https://t.co/jPWF2DKjbi

[AI Edge @aiedge_]

The most powerful Claude/Hermes prompt engineering prompt ever built.

Inject this straight into your AI agents, and they will teach you how to become an elite prompt engineer.

This is how you get the maximum value out of your AI subscriptions and reduce AI slop:

[spect @spectnfa]

Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't.

"One person who understands AI will outperform an entire startup team"

Most founders heard that and thought: "Oh no, I need to learn prompt engineering"

Wrong.

That's not what "understands AI" means anymore.

It means: building workflows. Chaining systems. Automating entire departments.

Not typing better questions into ChatGPT.

The split is brutal:

> 90% of people = still using AI like a calculator
> 10% of people = treating it like infrastructure

In 5 years, the 10% will run everything with half the headcount.

The 90%? Replaceable.

Which group are you in?

Watch the full breakdown. This is the only skill gap that actually matters right now.

Bookmark this. You'll want to reference it.

[Aakash Gupta @aakashgupta]

If you’ve been procrastinating on learning loops, read this.

[CyrilXBT @cyrilXBT]

9 GITHUB REPOS THAT LET YOU SCRAPE ANY WEBSITE WITHOUT GETTING BLOCKED.
Most scrapers get banned in the first 100 requests.
These ones do not.

Crawl4AI — AI-powered crawler built for LLM pipelines. Extracts clean structured data automatically.
https://t.co/PsCrtSjzsH
Firecrawl — Turns any website into clean markdown for AI consumption. Built for RAG pipelines.
https://t.co/bBKDUVnkcm
Scrapy — The battle-tested Python scraping framework. 50,000+ stars. Still the most reliable at scale.
https://t.co/CkpvJcdwsP
Crawlee — Playwright and Puppeteer wrapped in a scraping framework with built-in anti-detection.
https://t.co/8WKmolKdoj
Playwright — Microsoft's browser automation library. Handles JavaScript-heavy sites that break every other scraper.
https://t.co/2HKw2WPDsU
ScrapeGraph AI — Uses LLMs to navigate and extract data using natural language instructions.
https://t.co/o3UbwInkFb
Browser Use — Gives AI agents full browser control. Your Claude agent can now browse and scrape anything.
https://t.co/GwwR8pgo5B
Katana — Fast reconnaissance crawler built for security researchers. Handles complex site architectures.
https://t.co/iBSajJ43jc
Maxun — No-code web scraping platform. Build scrapers without writing a single line of code.
https://t.co/JxSaiMuYQk

Bookmark this before your next data project.
Follow @cyrilXBT for every open source build worth your weekend the moment it surfaces.

[Indu Tripathi @InduTripat82427]

https://t.co/bOL3XEtNXv

[Nainsi Dwivedi @NainsiDwiv50980]

Someone just built a fully local ElevenLabs alternative… and it’s actually insane 🤯

Most AI voice tools today have the same problems:
• monthly subscriptions
• API limits
• cloud processing
• privacy risks
• locked ecosystems

So this developer built OmniVoice Studio.

An open-source desktop app that gives you:
→ real-time dictation
→ zero-shot voice cloning
→ cinematic AI dubbing
→ speaker diarization
→ vocal isolation
→ AI watermarking
→ batch video processing
→ 646 languages

And the wildest part?

Everything runs locally on your machine.

No API keys.
No cloud uploads.
No accounts.
No “pay $99/mo to unlock more characters.”

Just drop a 3-second voice clip and clone almost any voice instantly.

You can even paste a YouTube link and it’ll:
transcribe → translate → re-voice → export a fully dubbed MP4 automatically 🎬

This feels less like a side project…
and more like someone open-sourced an entire AI voice production studio.

100% open-source
Link in comments

[Ole Lehmann @itsolelehmann]

Hermes without integrations is no different from a chatbot.

A brain in a jar. Smart, but it can't actually do much. All talk, no walk.

Integrations are the senses and limbs that turn Hermes into a real agent.

They're what actually let it do stuff in the real world.

1. Firecrawl lets it pull clean data from any website on the internet

2. Browserbase lets it click & interact on websites like a real person

3. YouTube Transcripts lets it search any video on YouTube

4. Bland lets it make real phone calls in your voice

5. Stripe gives it full access to your payments, customers, refunds, and churn

6. Reddit gives it a live read on what real people are actually saying about anything

7. Google Workspace lets it read and write across your Gmail, Calendar, Drive, Docs, and Sheets

8. Discord lets it monitor your channels and run workflows on autopilot

9. GitHub turns it into an engineering teammate that opens PRs, reviews code, and triages issues

10. Readwise gives it instant access to every highlight you've ever saved

11. Granola gives it perfect recall of every meeting you've ever sat in

12. Obsidian gives it long-term memory across your entire life and business

Here's how to plug all 12 into Hermes and chain them into advanced workflows that run while you sleep 👇

[Karan @karankendre]

https://t.co/OeUYkM7oX0

[Akshay 🚀 @akshay_pachaar]

The top Hermes integrations to give your agent superpowers:

1. Obsidian

The Karpathy-style second brain, but one that talks back.

Every note, page, and backlink in the vault becomes live context. The agent doesn't just store knowledge, it reasons over it across everything that's been written and saved.

2. Reddit

Unfiltered opinions from real users on any product, niche, or problem.

No SEO fluff, no corporate blogs. Just raw signal from people who actually use the thing. One of the best research integrations for market validation.

3. InsForge

A full agentic backend behind one semantic layer.

Auth, database, storage, edge functions, all accessible without wiring five services together. The agent reasons about backend primitives directly instead of calling disconnected APIs.

Closest analogy: a PaaS built for agents.

GitHub: https://t.co/4pPPor1tyb

(don't forget to star 🌟)

4. GitHub

Code, issues, PRs. Turns Hermes into an engineering teammate that can actually read the repo.

Essential for anyone shipping software.

5. Firecrawl

Web search designed specifically for agents.

Returns clean structured data instead of raw HTML, which means faster responses and fewer tokens burned per query. Worth keeping on by default.

GitHub: https://t.co/TzVRWwkYIN

(don't forget to star 🌟)

6. YouTube transcripts

Converts any video into searchable text. Hour-long podcasts, tutorials, conference talks, all become indexed notes in seconds.

Easily the most underrated research integration in the stack.

7. Google Workspace

Gmail, Calendar, Drive, Docs, and Sheets through one connector.

An agent that can't check the inbox, read the calendar, or write to shared docs is basically decorative. This should probably be the first integration anyone enables.

8. Discord

Ideal for channel-based automation.

Hermes can be plugged into specific channels with dedicated workflows in each. Support tickets from email can be scanned, categorized, and dropped into an organized channel every morning without anyone lifting a finger.

9. Stripe

Revenue, refunds, subscription changes, failed charges, all surfaced through a single question instead of clicking through dashboards.

"How many trials converted last week" or "which customers downgraded this month" gets a direct answer. Turns Stripe from a payment processor into a queryable business intelligence layer.

10. Bland (or Twilio)

Gives Hermes a voice for real phone calls. Booking reservations, confirming appointments, following up on invoices.

The call recordings are worth listening to just for entertainment.

11. Graphiti (by Zep)

Real-time knowledge graphs that build structured relationships from conversations and documents.

Instead of flat vector similarity, the agent traverses typed connections between entities. The difference between "find similar text" and "understand how things actually relate."

GitHub: https://t.co/uR6rXYx05Y

(don't forget to star 🌟)

12. FireFlies

Every meeting transcript, fully searchable. "What did that client say about pricing last month" gets answered instantly instead of scrubbing through a 45-minute recording.

That said, if you’re looking to set up Hermes, I wrote a full deep dive covering the Hermes agent’s architecture, memory system, self-evolving skills, GEPA optimization, and how to set up multiple specialized agents.

The article is quoted below.

[Charly Wargnier @DataChaz]

Hermes users right now: