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Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill

1,319,686 Aufrufe • vor 3 Monaten •via X (Twitter)

38 Kommentare

Profilbild von Teknium 🪽
Teknium 🪽vor 3 Monaten

Time to get to school, Hermes

Profilbild von Nous Research
Nous Researchvor 3 Monaten

👩🏻‍💻

Profilbild von Nous Research
Nous Researchvor 3 Monaten

More on the /learn command:

Profilbild von Tyler Gibson
Tyler Gibsonvor 3 Monaten

my hermes after update.

Profilbild von Nous Research
Nous Researchvor 3 Monaten

Pretty much lol

Profilbild von Daniel Figueroa
Daniel Figueroavor 3 Monaten

Hey Hermes, /learn Kung Fu

Profilbild von Tony Simons
Tony Simonsvor 3 Monaten

My Hermes is about to learn some dark shit!! 😂

Profilbild von Ziwen
Ziwenvor 3 Monaten

/learn learn how to use unreal engine and build me GTA6

Profilbild von Foola Froos🌞
Foola Froos🌞vor 3 Monaten

Keep pushing the limits boyz !!! We wont wait progress, we are progress ! 🪽

Profilbild von Kevin
Kevinvor 3 Monaten

yall need to slow down, crazy new stuff daily. lets start with the basics, who is this json fella?

Profilbild von kaize
kaizevor 3 Monaten

so, if I download the construction regulations (which I use in my work), will everything be okay, and will I avoid those kinds of confusion - like, “Did he find different information somewhere else?” there have simply been cases where something was written one way in one place, but in reality, that wasn’t the case..

Profilbild von Marco Franzon
Marco Franzonvor 3 Monaten

This is exactly what an llm should do, you are doing great!

Profilbild von Yash
Yashvor 3 Monaten

hermes /learn kill my small RAG project lol

Profilbild von mac
macvor 3 Monaten

ikd how y'all ship like you do, but bravo 👏

Profilbild von Cua
Cuavor 3 Monaten

👨‍🏫🖥️

Profilbild von jota
jotavor 3 Monaten

your music guy deserves a raise

Profilbild von Nous Research
Nous Researchvor 3 Monaten

I agree (I’m also the X guy)

Profilbild von Alharari
Alhararivor 3 Monaten

Hermes getting fed my whole 200gb of books and articles now:

Profilbild von Ares
Aresvor 3 Monaten

@grok how the fuck does this differentiate from skill.md????

Profilbild von BeastTitanHunter
BeastTitanHuntervor 3 Monaten

Can it learn from a YouTube video link of a tutorial ? That would be a major power boost

Profilbild von JP | SP3ND 🛍️
JP | SP3ND 🛍️vor 3 Monaten

/learn

Profilbild von moltclub_io
moltclub_iovor 3 Monaten

Can I feed it ?

Profilbild von mr-r0b0t
mr-r0b0tvor 3 Monaten

/learn to ship as fast as @NousResearch

Profilbild von Mike Gannotti
Mike Gannottivor 3 Monaten

This is pure.... AWESOMENESS!!!!

Profilbild von Sobraniex 🇪🇺
Sobraniex 🇪🇺vor 3 Monaten

me: hey mom look hermes is cooking again. mom: son u are 26, can u get a gf?

Profilbild von Iris Blake
Iris Blakevor 3 Monaten

How does a team even manage to update daily? So much vitality!

Profilbild von nickster
nickstervor 3 Monaten

openclaw will be defeated 😁

Profilbild von timdam
timdamvor 3 Monaten

"/learn everything" can cause stack overflow?

Profilbild von Seymur
Seymurvor 3 Monaten

Clean ship, love it!

Profilbild von fucory
fucoryvor 3 Monaten

Replace skills with smithers workflows. It’s cleaner

Profilbild von Rey Neill
Rey Neillvor 3 Monaten

Literally my old service

Profilbild von SMBMoneyMike
SMBMoneyMikevor 3 Monaten

Massive

Profilbild von Elian X
Elian Xvor 3 Monaten

any tutorial how to install it and work with it ?

Profilbild von Maciej Dziuba
Maciej Dziubavor 3 Monaten

who makes these promo videos?

Profilbild von Nous Research
Nous Researchvor 3 Monaten

@mm_editing Hermes Agent, directed by some talented humans

Profilbild von Dangel | Galaxyhub Labs
Dangel | Galaxyhub Labsvor 3 Monaten

learn and ship ⚕️

Profilbild von 🌸 ellie 🌸
🌸 ellie 🌸vor 3 Monaten

@Shaughnessy119 @jicapal @robotson lil guy bout to go to community college

Profilbild von JUMPERZ
JUMPERZvor 3 Monaten

Big

Ähnliche Videos

HERMES AGENT /LEARN IS ONE OF THE MOST UNDERRATED FEATURE. SHOW IT A WORKFLOW ONCE. IT SAVES THE SKILL. REPEATS IT FOREVER WITHOUT RE-EXPLAINING. you publish a YouTube video: write the title, create the thumbnail, write the description, set tags, schedule it. do it once with Hermes watching. type /learn. Hermes distills that workflow into a reusable skill. next time you say "publish this video," the agent follows the exact same steps. no re-explaining. no missed steps. WHAT YOU CAN TEACH IT: → show it your publishing workflow → /learn → give it an article → /learn → walk it through a client onboarding process → /learn → feed it API documentation → /learn → show it how you process invoices → /learn anything you do more than twice should become a /learn skill. THREE WAYS TO USE /LEARN: from a workflow you walked through: do the task once in chat. then /learn. Hermes extracts the procedure from the conversation. from a directory: /learn ~/docs/youtube-publishing/ reads every file. creates the skill. from a URL: /learn https:// any-documentation-page. com reads the page. distills the skill. the skill saves to ~/.hermes/skills/ with a SKILL.md containing: → when to trigger → step-by-step procedure → pitfalls to avoid → verification steps available as a slash command from that moment. WHY THIS CHANGES DAILY WORK: before /learn: you explain the same process to the agent every time you start a new session. session ends. context lost. start over. after /learn: you explain once. the skill persists. every future session already knows the procedure. the agent follows it without prompting. the boring repetitive tasks you do every week become one-command skills you never think about again. comment LEARN and I'll send you the full guide on turning any workflow into a permanent Hermes skill. full Hermes architecture deep-dive in the article 👇

YanXbt

13,150 Aufrufe • vor 3 Monaten

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇

YanXbt

22,720 Aufrufe • vor 3 Monaten