Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this...

80,960 Aufrufe • vor 4 Monaten •via X (Twitter)

35 Kommentare

Profilbild von Rahul
Rahulvor 4 Monaten

What do you prefer Ooenclaw or hermes

Profilbild von CyrilXBT
CyrilXBTvor 4 Monaten

right now id say hermes

Profilbild von Alpha Network
Alpha Networkvor 4 Monaten

Most people are still using AI as a tool. The real unlock happens when it becomes an autonomous system running workflows 24/7. 🚀

Profilbild von Blum
Blumvor 4 Monaten

studying Hermes is the most promising time investment

Profilbild von Nagarjuna Creates
Nagarjuna Createsvor 4 Monaten

This sounds like a smart way to build something that keeps working even when you step away.

Profilbild von Macro Bombastic
Macro Bombasticvor 4 Monaten

Yeah that compounding effect is the real game changer, once you get that first skill running it just keeps paying you back

Profilbild von andrpantus
andrpantusvor 4 Monaten

hermes agent makes manual workflows obsolete for the people who built it

Profilbild von Lea Imas
Lea Imasvor 4 Monaten

The best workflows are the ones you never have to touch again

Profilbild von M.en
M.envor 4 Monaten

Plant one automation at dusk; harvest a thousand while you sleep.

Profilbild von Dinh Chung
Dinh Chungvor 4 Monaten

このシステムは素晴らしいですね。自動化操作できるスキルが働いてくれるのは素晴らしいことです。これからますます発展していくでしょうか。

Profilbild von Sheema 🧡
Sheema 🧡vor 4 Monaten

One of the best articles! Thank you for your work!

Profilbild von GoalChain
GoalChainvor 4 Monaten

bookmarked

Profilbild von crpt_x
crpt_xvor 4 Monaten

$kairos will be useful there !!!

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNBvor 4 Monaten

睡觉时运行听着爽,醒来先看日志

Profilbild von ₥AN$A
₥AN$Avor 4 Monaten

This is the dream, isn't it? Building that autonomous layer for all the repetitive stuff is freeing. What's been the trickiest part to make genuinely hands-off?

Profilbild von Rohit
Rohitvor 4 Monaten

That's impressive! Sounds like a game-changer for workflows. Can't wait to see the impact it makes on productivity!

Profilbild von Mickie
Mickievor 4 Monaten

Autonomous until the pager starts flirting with you at 2am is exactly why I’d rather let SimianX keep the workflow boring

Profilbild von Axon
Axonvor 4 Monaten

"works while you sleep" - that's the whole game right there

Profilbild von Arslan Yousaf
Arslan Yousafvor 4 Monaten

Hermes runs your work while you sleep

Profilbild von Bonsai 🌳
Bonsai 🌳vor 4 Monaten

Could this system really be so good that it doesn’t even need to be monitored while it’s running?

Profilbild von Compile And Push
Compile And Pushvor 4 Monaten

Nice to see the process behind the output. Which technical decision gave you the biggest performance or reliability win?

Profilbild von BOT tanpa i
BOT tanpa ivor 4 Monaten

Yups... Sepertinya Hermes lebih menjanjikan dari pada openclaw

Profilbild von 逸风·666 | 🎒
逸风·666 | 🎒vor 4 Monaten

everyone wants the autonomous dream until they have to debug the agent loop

Profilbild von Kekko D’Amato
Kekko D’Amatovor 4 Monaten

MCP and persistent memory are the real unlock — not the individual skills. Without proper context persistence between runs, agents degrade fast. The systems that compound are the ones where the memory layer gets richer every cycle, not just ones executing tasks in isolation.

Profilbild von Nico
Nicovor 4 Monaten

One Hermes to rule em all

Profilbild von Alpha Batcher
Alpha Batchervor 4 Monaten

let me make QRT on your great article bro looks so good

Profilbild von buildwithjay
buildwithjayvor 4 Monaten

works while you sleep is always where these crack for me. agents run fine until one hits an edge case at 3am and quietly loops on it for hours. what does the failure handling actually look like when a step breaks with nobody watching

Profilbild von Duck Side
Duck Sidevor 4 Monaten

Sounds promising, but how does it handle edge cases when the data source changes mid-task?

Profilbild von ViceSol
ViceSolvor 4 Monaten

“Works while you sleep” - Yeah, until you wake up to a $400 API bill because your autonomous Hermes agent got stuck in an infinite token loop trying to fix a broken JSON parsing error on step 3

Profilbild von Alien Operator
Alien Operatorvor 4 Monaten

The compounding part is real, but the unlock is less "autonomy" than durable receipts: skills, memory, schedules, and visible failure states. Agents get useful when the operator can audit the loop.

Profilbild von Rifat Ahmed
Rifat Ahmedvor 4 Monaten

mcp + multi-agent + scheduler is the combo i been waiting for; let’s see evals too.

Profilbild von Johnny Nel | AI for Founders
Johnny Nel | AI for Foundersvor 4 Monaten

the "works while you sleep" thing sounds nice until you're up at 2am fixing it... real automation actually learns your business, not just runs tasks

Profilbild von BlaickPT
BlaickPTvor 4 Monaten

Build once, benefit forever

Profilbild von CryptIX
CryptIXvor 4 Monaten

This is the kind of leverage that compounds daily

Profilbild von Miya
Miyavor 4 Monaten

This Hermes setup is next-level, dude. Full autonomy while you sleep? Compounding skills sound insane—bookmarking for sure.

Ähnliche Videos

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

23,088 Aufrufe • vor 3 Monaten