David Ondrej u6L9aedHqZc read

Hermes Agent is crazy… 180,000+ github stars

Transcript: Done Yayin: 2026-06-08 08:23 YouTube
Hermes Agent is crazy… 180,000+ github stars
Kanala don
Job gecmisi
Job Durum Deneme Worker Istek Baslama Bitis
SummarizeYouTubeTranscript #261 Done 1 learning-prod-worker-1 2026-06-22 01:37:51 2026-06-22 01:37:52 2026-06-22 01:38:05
FetchYouTubeTranscript #251 Done 1 learning-prod-worker-1 2026-06-22 00:27:21 2026-06-22 00:27:41 2026-06-22 00:28:16

Ozet

openai/gpt-4.1-mini-2025-04-14 - 2026-06-22 01:38
Indir

Ozet

Hermes Agent, açık kaynaklı ve yerel olarak çalışabilen bir yapay zeka ajanıdır ve Miniax M3 modeli ile birlikte kullanıldığında inanılmaz derecede uygun maliyetli ve güçlü bir çözüm sunar. Miniax M3, diğer pahalı modellerin aksine, fiyat-performans çizgisini aşarak çok daha düşük maliyetle çok daha yüksek performans sağlar. Bu model, 1 milyon tokenlık büyük bir bağlam penceresine sahip olup, uzun süreli ve karmaşık görevleri insan müdahalesi olmadan gerçekleştirebilir.

Videoda Miniax M3'ün Hermes Agent ile kurulumu ve kullanımı adım adım gösterilirken, aynı zamanda Open Code gibi diğer açık kaynaklı araçlarda da nasıl entegre edileceği anlatılıyor. Miniax M3, derin araştırmalar, SVG animasyonları ve 2D oyun geliştirme gibi çok çeşitli görevlerde yüksek başarı gösteriyor. Ayrıca, modelin önümüzdeki günlerde açık ağırlıklarının (open weights) yayınlanacağı ve böylece dünyanın en güçlü açık kaynak modeli olacağı belirtiliyor.

Ana Fikirler

  • Miniax M3, fiyat-performans çizgisini aşan ilk yapay zeka modelidir.
  • Hermes Agent ile kullanıldığında 24/7 çalışabilir, uzun ve karmaşık görevleri insan müdahalesi olmadan yapabilir.
  • Miniax M3, 1 milyon tokenlık büyük bağlam penceresi ve Miniax Sparse Attention (MSA) mimarisi sayesinde çok verimlidir.
  • Miniax M3, GPT-5.5 ve Gemini 3.1 gibi pahalı modelleri çeşitli benchmarklarda geride bırakır.
  • Miniax M3, aylık 1.7 milyar token (20$ plan) ve 5 milyar token (50$ plan) gibi çok yüksek token limitleri sunar.
  • Model, derin araştırma, SVG animasyonları ve 2D oyun geliştirme gibi multimodal görevlerde başarılıdır.
  • Miniax M3, önümüzdeki günlerde açık ağırlıklarını yayınlayarak açık kaynak topluluğuna büyük katkı sağlayacak.
  • Miniax token planları, Perplexity Computer gibi pahalı alternatiflere kıyasla 10-20 kat daha ucuzdur.
  • Hermes Agent kurulumu ve Miniax entegrasyonu kolaydır, API anahtarı ile hızlıca kullanılabilir.
  • Miniax M3, uzun süreli ve çok sayıda araç çağrısı gerektiren iş akışlarında üstün performans gösterir.

Uygulanabilir Notlar

  • Hermes Agent kullanarak uzun süreli ve karmaşık AI görevlerini düşük maliyetle otomatikleştirebilirsiniz.
  • Miniax M3 token planlarından birini seçerek aylık milyarlarca token kullanımı ile yüksek hacimli projeler yapabilirsiniz.
  • Open Code gibi açık kaynaklı araçlarla Miniax M3’ü entegre ederek yazılım geliştirme süreçlerinizi hızlandırabilirsiniz.
  • Miniax M3’ün büyük bağlam penceresi sayesinde projelerinizi tamamen bellekte tutabilir ve unutmaz.
  • MSA mimarisi sayesinde uzun bağlamlı işlemlerde maliyet ve hesaplama verimliliği sağlar.
  • Miniax M3’ü kullanarak SVG animasyonları ve 2D oyunlar gibi multimodal projeler geliştirebilirsiniz.
  • Miniax token planları için video altındaki linklerden %12 indirim alabilirsiniz.
  • Modelin açık ağırlıkları yayınlandığında, kendi sunucularınızda çalıştırarak tam kontrol ve gizlilik sağlayabilirsiniz.
  • Performans ve maliyet açısından GPT-5.5 ve Gemini gibi modeller yerine Miniax M3 tercih edilebilir.

Anahtar Kavramlar

  • Hermes Agent: Açık kaynaklı, yerel çalışan AI ajanı.
  • Miniax M3: Yüksek performanslı, düşük maliyetli yapay zeka modeli.
  • Miniax Sparse Attention (MSA): Modelin bağlamı seçici okuyarak hesaplama maliyetini düşüren mimarisi.
  • Token: AI modellerinde işlenen metin birimi.
  • Bağlam penceresi (Context Window): Modelin aynı anda işleyebileceği maksimum token sayısı.
  • Open Code: Açık kaynaklı kod geliştirme aracı.
  • API anahtarı: Hizmetlere erişim için kullanılan kimlik doğrulama anahtarı.
  • Açık ağırlıklar (Open Weights): Modelin eğitimli parametrelerinin açık kaynak olarak paylaşılması.
  • Benchmark: Model performansını ölçmek için kullanılan test setleri.
  • Multimodal: Birden fazla veri türünü (metin, görüntü, video vb.) işleyebilme yeteneği.

Transcript

Video metni
en markdown 2026-06-22 00:28 youtube-transcript-api:generated
Indir
You can actually run Hermes agent for
100 times cheaper. Here's how. So, a
major AI breakthrough just happened. For
the first time ever, an AI model broke
the price to capability line where the
more you pay, the more you get. And
everything so far has been either on
this line or below. But Miniax M3 is a
new AI model that for the first time
ever is above this line. But most people
for some reason still only use cloth or
GPD which is costing them hundreds of
dollars per month every month while
Miniax is nearly free. Oh, and it's also
really really good. On SWE pro it
outperforms not only Gemini 3.1 Pro but
also GPT 5.5. On SVG Benbench it
outperforms Opus GPD 5.5 and Gemini. And
on browse comp, which is very important
for Hermes agent, it is better than Opus
and roughly similar as GPD 5.5. And this
is just one of many reasons why Miniax
M3 is perfect for Hermes agent. It's
also cheap enough to run 24/7, which
makes always on agents finally possible.
Also, given the large context window of
Miniax M3, it can do up to 1 million
tokens. It can hold your entire project
in memory, not forgetting anything. It's
also built for long toolheavy loops such
as the slash goal feature inside of
Hermes. In fact, Miniax M3 can run for
over 24 hours straight doing up to 2,000
different tool calls with no human
intervention. That's incredible. Now,
you might be thinking, "But David, how
is all of this even possible? How come
Miniax M3 can outperform models 10 to 50
times more expensive?" Well, the answer
is the architecture. It has a novel
architecture called MSA which stands for
miniax sparse attention. And I know it
sounds complex. It sounds difficult but
actually it's very simple and very easy
to understand. And understanding it will
give you an unfair advantage over
everyone else. So here is MSA clearly
explained. Normal transformers read
every single token in context every
time. That's why long context workflows
cost a lot of money. MSA on the other
hand checks which parts of the context
matter and then only reads those parts
skipping everything else. So the result
is a full 1 million context window at
120th of the compute. And of course the
pricing of Miniax is just insane. For
comparison, Opus 4.8 costs $5 for
million input tokens and $25 for million
output tokens. Miniax M3 costs 060 and
240. And on top of that, now it's 50%
off, which makes it 10 to 20 times
cheaper than Opus. This is how you can
run Hermes Agent 24/7 for just a couple
of dollars. real quick. Are you building
something impressive? I'm going to be
hopping on a call personally with people
who are building impressive stuff with
AI. So, if that's you, make sure to fill
this out. Again, it's the second link
below the video. It's completely free to
apply. Now, to put the insane cost
effectiveness of Miniax into
perspective, when you get the $20 a
month plan, you get 1.7 billion tokens
per month. Not million, billion. And at
the current pricing, okay, not the
discounted 50% off pricing, the full
pricing, this plan, 1.7 billion tokens,
gives you a blended average of $1,326
per month of API usage, okay? Which if
we compare that to Opus 4.8 tokens,
would be $11,900
of monthly API credits. If you get the
$20 plan for Miniax, I mean for the max
plan which costs $50 a month, you
literally get over 5 billion tokens per
month, which I don't think you can get
anywhere else. And since many of you are
interested in running Hermes agent as
cheaply and efficiently as possible, I
reached out to the Miniax team to
sponsor this video and agreed. So, if
you want 12% off any of these paid
plans, click the first link below the
video and make sure to apply. Huge thank
you to the Miniax team for sponsoring
this video. With that being said, let's
get to building. So, first go to Google
while it still exists and type in Hermes
agent GitHub to go to the official
GitHub for Hermes agent. So, obviously
Hermes is fully open source, so it's
free to download. Scroll down here until
you reach the quick install section,
which gives you this one command. Click
on that. Boom. Open any terminal on your
computer.
I'm just using the default Mac OS one,
but you can use Cmax, T-Max, whatever
you want. Paste it in. Hit enter. And
this will begin installing Hermes Agent
on your computer. If you don't have it
installed, it will take like two minutes
to install it. And then we need to
select the miniax token plan. I have the
$20 one, but I do recommend getting the
$50 a month if you hit the limits, but
it's very hard to hit limits on 1.7
billion tokens. Yeah, the the value you
get for this is really incredible.
Enthropic cannot compete with this at
all. Like if you have the cloth $20 a
month subscription, you're hitting
limits constantly every single day,
multiple times. With this, good luck.
You'll have to be a serious AI engineer
to hit limits, right? When the install
finishes, you'll see the option to
select the plans. So all the way scroll
down here and you can see Miniax. Here
we have three options. Minimax OF,
Miniax default, and Minax China. So
here, what you want to do is select the
first one, Miniax. And we need to get
the API key. So again, when you click
the first link below the video, you'll
be brought to the Minax pricing plan.
Here you can go to the top right, click
on console after you create an account,
which is super easy. You can just create
one with Google. Takes like 10 seconds.
So in here inside of the minmax
platform, go to the left and click on
plan details. And here you have your
subscription key. This allows you to use
your subscription to power Hermes agent
and many other AI agents such as open
code which I'm going to show you later
in the video which actually you can use
Miniax M3 to build anything build any
type of software whether it's a AI
startup whether it's internal software
whether it's just a cool demo for you
for your friends for your family. You
can use it inside of Open Code which is
also free and open source with the
subscription key from here. And again,
I'm going to show you that later in the
video, but first, copy it. Switch back
to the terminal and paste that in. Okay,
here it's asking for the base URL. You
can just hit enter. And for the model,
obviously, select Miniax M3. Okay, here
you can keep current messaging
platforms. We can skip that for now. And
we can click done. And just like that,
we've set up Hermes agent locally. So, I
can do clear and type in Hermes. And
this should launch the Hermes agent TUI
terminal user interface. Here we go. We
have Minimax M3 here. We can do Hey. And
this is powered with my token plan,
right? So I'm using the $20 a month plus
plan from Miniax to power Hermes Agent.
And again, this gives me 1.7 billion
tokens per month. So you can literally
use Hermes Agent 24/7 and you'll
probably not run out. And if you do run
out, you upgrade to the 50 plan, which
gives you 5.1 billion tokens, and then
you will not run out. So, what I'm going
to do is I'm going to CD into a folder
and I'm going to launch Hermes agent in
here and I'm going to tell it use the
following repository to save any and all
files. Do not create or modify files
outside of this project. Okay, send the
limiter and I'm going to send it the
prompt. So, this is a DB research prompt
and basically I'm going to compare it
how good it would perform against
something like Perplexity Computer. So
I'm going to send the same prompt into
Proplexity computer which of course cost
$200 a month. Uh that's a lot more
expensive and the usage is way less.
Okay. So we can easily run out of these
$200 a month these credits inside of
Perplexi computer. But for uh minimax
you can actually check your plan plan
usage and you can see that so far we are
at 1% of our weekly quota. Okay. So you
can do many many deepes with this and
you're not going to hit your limit. So
this Hermes agent will be running and
doing this deep research about events in
Katoitz, Krakov and Warso over the next
90 days. So different AI tech business
events and I want to put everything into
a single MD file. So yeah, it's going to
do this deep researches and I'm going to
let it run. In the meantime, let me show
you how to build anything with Miniax M3
by using it inside of Open Code. So if
you don't know Open Code, it's like a
open source alternative to Cloud Code.
And again, it's completely free. So you
can just go to opencode.ai AI and copy
this oneliner installer command. And
while this is running, I'm going to do a
new terminal. And I'm going to paste
that in to install it locally on my
MacBook. So you can see it's pretty
fast. Boom. There it is. So let me do
clear and type in open code. And of
course, we want to use miniax inside of
open code. So type in /connect to
connect a new provider. I'm going to
type in miniax. There it is. Minimax.io.
And we need to put in the same API key.
So let's go back to plan details here
and copy the subscription key. Boom.
Paste that in and hit enter. Select
Minimax M3. And here here we are inside
of open code. Literally how fast was
that? Like 20 30 seconds and we are
chatting with Minax M3 inside of another
agent. Right. So not only do we have
Hermes agent here doing a deep research
using the subscription here we have open
code also using the minimax token plan
subscription but here we can optimize it
for coding. So I'm going to give it a
prompt. So the first thing I want to
test is a simple 2D game, Doodle Jump
platformer game as a single contained
HTML file. So let's see how good it is
at that very use case. And inside of
Open Code, we can see the usage at the
bottom. So so far we've spent 1 cent,
one penny. We're going to see how
expensive this is. But I already know
that this is not even going to be
comparable to Opus or GBD 5.5 because of
how insanely efficient Miniax M3 is. And
let me highlight this once more because
I think a lot of you don't realize the
significance of this. So far, every
single model has been on this line or
below, which means you have to pay more
to get more capability. But Minimax M3
broke the line. It's the first model
that gives you way more for the same
amount. Completely crushing Sonet 4.6,
by the way, which is not only over 10
times more expensive, but also worse at
long horizon coding tasks, which is the
type of stuff we're currently testing,
right? And again, I'm going to be
jumping on a call with a few of you who
are building the most impressive things
with AI completely for free. So, make
sure to fill this out. It's the second
link below the video. All right, let's
check on Hermes how it's doing. Still
deep researching. So far, used 13% of
the context window, 60,000 tokens inside
of Open Code. We are at still one penny.
That's insane. Let's check the plan
details here. Let me reload plan usage.
Okay, so we're at 9% of our 5hour limit
and still 1% of our weekly limit.
Incredible. I want to see how good this
game will be. And actually, one more
thing I want to test while these two are
still running is how good Miniax M3 is
at creating SVG files, right? And
animations with SVG because it's
crashing on the SVG bench eval. So, what
I'm going to do is I'm going to open a
new terminal command N. Type in open
code. We can launch another Open Code
instance while the previous one is
running. And we can tell it build the
following SVG animation.
And I'm going to paste in a description
of what I want to build. a single
self-contained SVG file utilizing
animate animate transform blah blah
blah. It's a pretty long prompt
describing exactly what I want. So, what
this should show is a looping animation
of different rifle parts assembling,
shooting a shot, and then fading out.
So, it's not just a simple image, static
image. It should be a SVG animation. And
we can see that there's already
thousands of tokens of Miniax. Let's
check the usage. This is the main thing,
guys, because I'm telling you, you can
still less than 1% of the weekly limit.
Incredible. Let's look at the Hermes
deep research. It's still researching.
It's being very very thorough. Running
for 12 minutes. I told you it can run
for over 24 hours doing nearly 2,000
tool calls without any human
interruption. And again, if you want 12%
off any of the token plans from Miniax,
make sure to click the first link below
the video and get any of these plans for
yourself. You're going to get 12% off of
this already incredible price. Okay, so
it seems like Hermes agent is finalizing
the deep research with 20 different
events happening over the coming weeks
and months. And the huge benefit is that
obviously Hermes agent is open source
running locally. Miniax is going to be
open source. So far they open source
previous models. And the cheapest plan
is 10 times cheaper than the cheapest
perplexity computer plan which obviously
is $200 a month. And again, I'm running
out of this usage pretty often. Like
even for $200 a month, this doesn't last
at all. With this, you'll probably get
like 50x more deep researches inside of
Hermes than uh with Perplexi Computer.
And again, this is cloud hosted, so who
knows where these files are stored. You
kind of have to trust Perplexity with
all of this and all your data. Okay,
there it is. So, here's uh the
formatting coverage by city, Katavita 3,
Crack of 7, Warso 10. I mean, yeah,
Warso is the biggest city, so that makes
sense. Top five local recommendations.
Cyber security expo forum katvita June
1516.
Interesting. And here we have all the
sources at the bottom. Very clean
report. Not overly bloated. That's also
important. It's not like hundreds of
pages of just AI slop. Let's look at
what perplexity computer gave us. A lot
of these events are the same. I mean,
you cannot really invent, you know,
other events like that. Okay. So, the
events it recommended are different.
Interesting. Actually, what we can do,
I'm going to kill this Hermes agent.
Clear Hermes
and say list out all folders in this
repo and list out all files in /reports
folder.
This is a separate HMS a separate
session. So, it will have no bias
towards which is better. And we can have
Miniax analyze these two reports and
compare them.
Okay. Now analyze both of these markdown
files, read them in full and give me a
clear and objective comparison. Be very
concise. Right? The SVG should be
finishing up now. So let's look at it.
Comparison format. This is pros per
event selection. This is a structured
table. Yeah. Event overlap. Okay. Unique
to perent computer. So some events are
unique. Some of them overlap.
Perplexity was stronger on small free
meetups. Events is stronger on big
conferences. The top five picks were
different. And let's get the verdict.
Evans MD is the stronger calendar.
Progress is better niche meetups.
Neither is complete merging them. So
that's crazy. The fact that these are
comparable deep research reports where
one of them is 10 times cheaper and
gives you probably like my best estimate
is like 40 to 100 times more deep
researches per month compared to what
you would get on the 200 month plan
here. It's really insane. the efficiency
of the minimax token plan. We're at 3%
of a weekly limit and we're running
multiple things here still. This SVG is
going to be crazy. I don't know why it's
cooking for so long, but this better be
good. And look at the spend 9 pennies, 9
cents. And let me remind you that this
is not some cheap 7B model. In fact,
artificial analysis puts it as one of
the top models in terms of intelligence.
literally neck-to-neck with Gemini 3.1
from Google which is way bigger model
way more expensive to run and on the
intelligence index it literally is
ranked as one of the best models in the
world so this is not just some AI model
a small model that's cheap to run this
is literally one of the best models out
there that's also the most costefficient
model to run okay so we have this SVG
file finally took a while because it
kept overthinking so I told it to write
the file let's see okay great it's
written so I Okay, now open this SVG for
me in Brave browser as a new tab. You
can literally do anything if you just
speak English. Like you need to
verbalize your faults and describe what
you want the agent to do and it can just
do it. All right, so there it is. Rifle
is being assembled. Okay, that's
actually pretty good, right? Chambered.
Shot the gun. Now it should disappear.
This is impressive, guys. And again,
0.25 25 cents SVG animation that can be
used in video games, in graphics, in
videos, video editing, landing page on
your site, and the shell is running out.
Guys, this is this is good. This is good
for 0.25.
Pretty insane. Let's see the other um
instance. This building the 2D game.
This is a bigger project admittedly, but
I also had to tell it to stop
overthinking because this model is very
perfectionist, right? I mean, there's a
reason why it's performing really well
on all these benchmarks. This model
likes to think a lot. It likes to reason
a lot. And sometimes that's good when
you want a really detailed report, a
really impressive refactor. But if you
want something simple and quick, you
need to kind of tell it like stop
planning, stop thinking, do not
overthink. Just write the file now. So
hopefully we can test the game soon. So
the 5 hour limit, we're at 25%. And by
the way, this resets in 10 minutes,
right? So we cannot even get to How do
you even use this out? Like I'm using
three agents, two open codes, one Hermes
agent. I'm even struggling to hit the
limit. This is pretty impressive. Okay,
you literally need to be running four to
eight agent in parallel 24/7 to even
like hit these limits. Anyways, we
already know it can do detailed deep
research on the level of perplexity
computer or even better while doing that
for a fraction of the cost. We already
know it's great at SVGs. In fact, it
outranks other Frontier models at SVG
Bench. So, let's see how good it is at
2D games. Uh, and yeah, this is the
beautiful multimodality of Miniax M3.
It's great at video, images, coding,
text, all of the things you would expect
a Frontier AI model to do in 2026. And
by the way, the Miniax team has
committed to open weights. So, this
model will be open weights on Hugging
Face and GitHub within 10 days of its
release. So that's going to be around
June 10th, which means it will probably
make Miniax M3 the most powerful open
weights model in the world. Uh the
moment they open weights it, it's not
open source, but it's going to be open
weights. And in fact, we have the HTML
file done. So I'm going to say open that
in Brave browser as a new tab. And let's
see how the game performs. It's 1,100
lines of code. And uh here we are.
Hopper. Okay. The graphics are nice.
Okay. Okay, how do we play it? Resume.
We need to jump.
Okay, look at the sounds. Okay, I need
to pause my music. Okay, the sounds are
pretty solid. Is there some boost? No.
What are the mech? What are the keyboard
controls? Answer in short. Okay. A and D
and Okay. So, the issue is some of
these.
Look at this. Graphics are nice. The
sounds are nice. There's no double jump.
Okay.
Make sure the platforms are closer to
each other. That is the main issue. Most
of these levels have the platforms too
far apart. Okay. This one should be
playable.
Look at this. Let's jump to the left.
Okay. Too far. Yeah, it needs to be
either a double jump mechanic or the
platforms need to be a bit closer. But
not a bad game. Certainly not a bad
graphics. And again, open weights model
all available for like what? 0.4. Pretty
crazy. All right, let's let's reload
this. Actually, the gap should be
smaller. All right, here we go. Let's
see how it does. What is this? Some
boost. Oh, it crashed.
Okay, I'm going to send it a screenshot
and obviously we can fix it and keep
improving it forever. This uh type of
platform crashes the game.
It's going to analyze that image and you
know fix the bug. You get the point. So
you can build any type of software with
it. Whether it's a 2D game, whether it's
SVG graphics, whether it's deep
research,
full stack web app, internal software.
This model is inherently multimodal and
it's competent on all of the frontier
and agent capabilities. Can basically do
anything you needed to do for a fraction
of the cost that other other models are.
So again, most people are stuck to just
using cher cloth. If you sit down and if
you actually watch this video again and
implement Miniax, you're going to be
able to do everything these models can
do for like 10 to 20 times less. So, if
you care about costs and if you want to
run Hermes agent in the most efficient
way possible, set up the Miniax token
plan connected like I did in the video.
And again, it's the first link below
video, just choose the plan that works
for you. If your budget is limited, go
with the $20 month. If you want 5
billion tokens per month, go with the
max plan. But either way, click the
first link below video to get 12% off.
And with that being said, thank you guys
for watching and have a wonderful rest
of the