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n8n Ai Agent: Build a Self Learning Agent! (n8n tutorial) | Productive Dude | YouTubeToText
YouTube Transcript: n8n Ai Agent: Build a Self Learning Agent! (n8n tutorial)
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Video Transcript
in today's video I'm going to show you
guys how to build an AI agent that has
the ability to store long-term memory
often times when you're chatting with an
AI agent it can keep the context of the
conversation when you're in a single
chat but what if you had a chat with it
10 days ago and now you want to
reference back to some of the insights
that it gained from that conversation
that's exactly what I'm going to show
you how to do in today's video and I'll
show you how to build this workflow
inside of n8n now this workflow
basically just uses a telegram trigger
which you can see over here this is
where I'm triggering the agent by
sending either a voice note or a text
note to it and every time that I send a
chat through it's querying this air
table database right here that has
information about me it can even add new
memories in real time using this memory
tool here so that it's actually
self-improving and I'm even going to
show you guys the secret sauce I'm going
to give you the system prompt for this
AI agent if you stick around until that
portion of the video but before I kick
this off let's show you how this agent
works so I'm going to go ahead and send
it a voice note hey there what's your
name now this automation has triggered
and it's going to reference this row of
the database and as you can see it says
my name is super wizbot perfect it
grabbed that from right here I want you
to store a memory in your long-term
memory that reminds you that you were
part of an amazing YouTube video where I
shared how to build you super wizbot
and if you watch down here it should add
that memory momentarily just a quick
Refresh on my air table
database and as you can see it added in
that memory so Carter was part of an
amazing YouTube video where he shared
how to build super wizbot now the
exciting thing about this agent is you
can actually ask it to improve its
memory so I can just say hey what are
some things that you need to know about
me and this overall system in order to
improve your memory the first question
that it asks here are what are some
specific personal or professional goals
you have for this year then it says are
there particular Hobbies or interests
that you're currently pursuing or would
like to explore more deeply what topics
or themes resonate most with you in your
reading and learning Beyond
cryptocurrencies and AI which it got
from right here cryptocurrencies and AI
all right so it asked me some questions
here so that it can improve its future
context on me so I'm just going to give
it a quick
reply some personal goals that I have
for this year are to get more fit and to
get better sleep I want to aim for 7 to
8 hours per night and a professional
goal of mine is to reach 100,000
subscribers on YouTube some Hobbies or
interests that I'm exploring more deeply
include collecting records and learning
more about deeper disciplines like
engineering I also am interested in
scaling up my small town and making it
more of a prominent town in the area and
just improving the life quality for
people around me
so I sent that off and it should go now
and add some memories here to the air
table and then it'll come back with a
reply so as you can see it's adding all
of these memories right here it's adding
my professional goal for the year uh
some themes that I'm resonating with
when learning it's also sharing some
hobbies that I'm exploring some of my
other goals and interests and it covered
my health goals right here particularly
that I want to improve my sleep so now
even after this chat session is complete
it's going to have access to the past 50
memories in my air table database and
it's going to sort them by the date that
they were created so look guys I'm going
to show you how to build this entire
thing today for free on YouTube it's my
gift to you because I want you guys to
be able to implement this for your
agents but if you want to take the
community aspect of your learning up a
notch and you want to network with
people who are fired up about Ai and
maybe you even want to share some of
your own insights or maybe you just want
to learn this stuff in a more structured
way rather than jumping around YouTube
videos If any of those cases sound like
yourself then I highly recommend
investing in the AI foundations
community at AI foundations we do
regular weekly Zoom calls for both
support and just general Community
interaction and networking and we even
just implemented a new course in our
classroom on how to master nadn this
tool is going to be vital in the future
for agent Builders so if this group
sounds interesting to you if it sounds
like a place that you'd want to hang out
then I highly recommend using the link
in the top pinned comment or the
description below to join AI foundations
today all right now let's go ahead and
dive into building this nadn agent to
kick things off we're going to head over
to nadn and we're going to create a new
workflow I'll just create it in personal
and we'll kick things off by adding our
telegram trigger so I'll click this plus
button in the middle and I'll type in
telegram I'll click on Telegram and we
want to go with on message so this is
the trigger for on message so I'll hit
on message if you don't have your
credential in here then you can just
click on create cre credential here but
I'm going to click the drop down and hit
create new credential and then it brings
me to this screen where it needs an
access token to get this access token
I'm going to open up telegram either on
my computer or on my phone and on the
computer you can just click up in this
corner here create a new channel I'll
just call it test and hit create and
I'll make it a private Channel and hit
save I'll skip adding people for now and
the first message that I'm going to type
in here is at botfa I'll hit enter next
I'll click on the link for the bot
father and I'm going to type in slstart
and after sending off SL start it's
going to give me a list of commands here
so I'll do Slash new bot and I'll hit
enter and now it's asking me what I want
to call the bot so I need to give my bot
a name I'm going to call it super memory
bot and I'll hit enter and now it needs
a handle for the bot so for this one I'm
going to go supercore memory uncore and
I'll end it with bot and hit enter ah
this username is already taken so let's
try super memory is one wordbot
that one's taken too let's try ultracore
ultracore
memorybot all right that one worked so
it says done congratulations on your new
bot and it gives me this access token
here so if I click on this access token
it'll copy it to my clipboard we can
come back to our naden account and paste
that token right here and then hit save
now I'm going to close this window and
I'll hit back to Canvas so now we have
our telegram trigger so when we send a
message it's going to come through right
here now we need to wait for this bot to
access access the ongoing memory so for
that we're going to be using air table
so I'll click plus right here I'll type
in air table and I'll click on the air
table icon and then what we want to look
for is search records click on search
records and I'm going to create a new
credential for my air table and I'm
going to use the access token to get the
access token I can just come over to my
air table account get logged in and then
I can click on my account in the upper
right hand corner go to Builder Hub and
from here I can hit create new token
I'll give my token a name of test and
then under access I'm going to hit add a
base and I'm going to select all current
and future bases in all current and
future workspaces and just for testing
purposes I'm going to add all of these
Scopes you can decide to limit these if
you want to but just to get this through
and to make it work I want to give it
everything so that the agent doesn't run
into any issues when it's accessing this
token and accessing my workspaces and
this is basically just all the
permissions that the agent has has so
here C data and Records this is probably
the only one I need for this step but
later I'm going to need to write to the
records as well and I just want to leave
it wide open for the agent especially in
this testing ground and then later I can
come back and refine this for security
purposes but I'm going to hit create
token and I'm going to give it this
token that allows nen to access my air
table account so I'll copy it and hit
done then I'll paste that access token
here and hit save it should say
connection tested successfully so now
I'll click close this popup window make
sure your resource is set to record your
operation is set to search and we want
to select a base but right now we don't
have any bases for the agent to access
so I'll head over to air table and hit
the blue create button in the bottom
left hand corner I'll select a workspace
I'm just going to go with my first
workspace and I'm going to hit start
from scratch then we need to give the
base a name I'm just going to call it
agent memory and I'll call the table
here memory I'll hit save and for the
name column here I'm going to rename it
to memory and I'm going to make this a
long text in case the memory gets a
little bit longer then the single text
can handle then I'll hit save I'm going
to delete these other default fields
us and I'll delete these initial records
and in the first record I'm just going
to give it a test memory so that it
actually has something it can pull from
this database for testing purposes so
I'm just going to say users name is
Carter and that's pretty much all you
need for the memory database and on the
base you're going to make sure it says
from list you're going to click on the
dropdown and I'll type in agent and I
should see my agent memory base here
I'll click on that and for the table
we're just going to make sure it's on
from list I'll click the drop down and
we're going to click on that memory
table that we created now when you're
passing memories to your agent you don't
want to return all because if you were
returning everything the responses would
get too long as you add up your memories
so you can either set a filter for
certain memories that you want it to
bring into context for your agent or as
a basic way of managing the length of
the memories you can just turn return
all off and then change the limit to
make sure that it's not going to be too
many memories that it pulls in I'll just
change the limit to 50 and then if this
makes my agent bug out at a certain
point you can lower this a little bit if
you want to but you can just play around
with the limit to get the right amount
of memories in there and to make sure
that your agent isn't dying out because
you're overwhelming it with information
and now I'll go back to Canvas and the
next step is to aggregate this data
because it's going to send it through as
individual items but we want to turn it
into one array that has all of the
memories in it so to do that there's a
handy node that you can set up in nadn
and it's the aggregate node so I'll just
hit the plus button here and I'm going
to type in Aggregate and then I'll see
it here it's just this little tree this
little orange tree so I'll click on that
I'll make sure aggregate is on
individual fields and then for the input
field name I'm going to enter the name
of the field for our memories and that's
right here in our air table it's just
called memory so I'm going to use that
to pull it through so we'll type in
memory and I'll go back to Canvas now
the pathway for this chat needs to go
straight to our AI agent it can't go
through these other nodes here so what
we need to do is we need to create a
merge node so I'm going to hit the plus
button right here and I'm going to type
into the search nodes merge and I should
see this little blue tree here I can
click on that one and I'm going to
change the mode to combine and then for
Combined by we'll change that to all
possible combinations and I'll go back
to Canvas now we can drag our telegram
trigger to go through and be input one
or input two it doesn't really matter
how you do this it would actually
probably be better though if this was
input one and then this one was input
two there we go so now it's merging
those two pieces of information together
when that telegram message is sent it's
going to go grab all of the memories
that are currently in the air table it's
going to merge them into a single item
using the AG Ator and then it's going to
take the text that I sent through
Telegram and it's going to put that into
a single item so then we can pass this
special packet here over to our AI agent
this is the fun part this is where we're
going to add in our AI agent so I'll hit
the plus button right here I'll click on
Advanced Ai and I'll click on AI agent
now I'll go back to Canvas and I need to
send some test data from our telegram
trigger this will allow me to map the
chat to the AI agent so I'm going to
copy the name of my bot and then I'm
just going to type in at I'll paste that
bot in and then hit
enter and now it gives me this hyperlink
for the bot so I'll click on it and I'll
hit start and now I'm able to chat with
my bot now for now what we're going to
do is we're going to delete this
connection to our AI agent and we'll
bring it back in in a moment and I'm
going to right click and deactivate my
AI agent for now so that it doesn't
trigger an error then I'll hit test
workflow and now telegram is waiting for
me to send a message so I'm going to
send a message to that agent that we've
connected over here I'll just say this
is a test and I'll hit send all right
and what you should see is you should
see the items move through here so it
pulled our air table memories and it
also pulled through the chat that we
sent to telegram right here then it
merged those into one item that we can
pass to our agent so now I can connect
this back to the AI agent I can
rightclick it and it activate and then
we can click into that AI agent and I
can pass in all of the variabl that this
agent needs because I now have them here
so I see our memories right here and
since there's only one right now it's
just showing one but they would list out
right here and I could just drag this
memory in and it would have access to
all of those but the first and most
important thing to map in is this text
right here this is the actual
conversation text that I sent through
over here so I said this is a test and
as you can see it's passing that
variable right here so we'll change this
prompt source to Define below and then
all I have to do is is click and drag
that text into the text field over here
and now that agent should be able to
receive my messages next we need to add
the system prompt for this agent so that
it knows how it works so I'll hit add
option and I'm going to click on system
message and it starts by default just
saying you are a helpful assistant but
we're actually going to delete that and
the first line of the system message
that I'm going to give it is the current
time and day I need to change this to
expression here and once I change that
to expression this expression right here
just the curly brackets around the money
sign now is going to pull back in the
date and time so that the agent always
has the current date and time next I'll
enter down just a couple lines and I'm
going to paste this next section so this
next one says you are a helpful
assistant with the ability to add and
read memories about the user simple as
that I'll enter down again and for this
next part I'm going to tell it how to
add those memories so let's go ahead and
open this up in a full window and I'm
going to paste this next of text here so
I just say to add a new memory or
insight to the top of your list of
recent memories you can use the memory
tool and I'm telling it the name of the
tool so we haven't created that yet but
we're going to all right and it says
which allows you to add short one
sentence insights about the user to your
memory for the future in order to help
you customize your response output we'll
go down to the next line and I'm going
to paste in this next bit of information
so this next line is just more
generalized instructions for how I want
it to add those memories because if I
don't give it instructions like this
it's just going to go crazy adding
memories and it's not going to be
relevant to the way I want this agent to
work and the way that you probably want
this agent to work so now I just say you
don't have to always customize based on
the memories because I don't want it
going over the top right if it has these
memories I want it to be able to access
them when they're handy and when they're
useful but I don't want it just like
implementing the memories like if I say
I have a dog I don't want it to
Implement that I have a dog into all of
the responses I only want it to bring
that up when it's relevant so I said but
if there's a good reason to customize
your response you can use the memories
below to do so these are memories that
have been added by you if you need to
learn more about the user for the future
you can ask questions in order to take
note of their preferences now for this
next line I'm going to say use your
current memories of the user to recall
past insights about them then I'll paste
in this next line where we have the
curly brackets around this Jon memory
and it says read your most recent
memories here and as you can see on the
preview of the result over here it's
showing the memory that we have in our
air table database that it pulled
through using that search step and
finally I'm going to add some last
instructions here so I just say tailor
your response based on the relevant
memories if you find that a memory is
relevant to the response a bit redundant
but I like to add that here and then
this one is a little bit um of my own
secret sauce for how I like to get the
agent to talk talk to me so I just say
always output your final response as a
conversational piece rather than a list
or blog post if you must make a list
keep it simple and don't add too much
hierarchy only share the most important
notes after thinking of your response
consider the tldr version or a to Long
didn't read version and always give a
conversational cheeky fun reply while
remaining assertive helpful and not too
playful and then for this last line give
a Meek tone to your response I really
just like how the responds when I tell
it to give me a Meek tone but I like
pairing it with these other kind of
keywords as well and that gives it a
really good balanced response from my
experience I'm going to close this
window now we'll jump back to the canvas
and now we need to add a chat model so
I'm just going to hit the plus button
right here I'll go to open AI chat model
and here you need to connect your
credentials for open AI so I'll just hit
create new credential and now it needs
an API key from open AI to get this just
go to platform.
open.com create an account if you don't
already have one and then click on the
settings you'll go over to billing and
you'll add some billing details in just
$5 to $10 to test with if this is your
first time and you're just trying this
out and then you'll go to API Keys
create a new secret key and I'll call
this test I'll select a default project
and hit create secret key and I'll copy
my key paste and save now it should say
connection tested successfully and we'll
close this popup window from here you
can choose your model I like just using
GPT 40 mini because it's pretty
inexpensive I'll go back to Canvas now
and next I want to add a memory so I'll
hit the Plus on this memory right here
and I'll click on window buffer memory
and we'll change this to Define below
I'll go to mapping and for the key we're
going to want to drag in the chat
ID then you can select the context
window length so this is how many past
inputs from the chat it's actually
receiving in its context window so that
it can provide you with a better
response I'll leave this on Five for now
and I'll go back to Canvas and this is
where the real magic happens now we're
going to give this agent a tool that
allows it to log to this air table
database so that it's basically
recursively improving its memory here
add this tool we can make it so that it
can add new memories so I'll click on
the air table tool and first things
first I'm going to add a name to this
air table tool and we're just going to
call it memory uncore tool and hit
rename just like I had in the system
prompt you should be connected to your
air table credentials here so that
shouldn't be a problem tool description
can be set automatically or you can set
it manually and give it more
instructions on how to use the tool I
just set automatically and that seemed
to work fine for the resource we're just
going to choose record and you're going
to have to change this operation from
get to create then just like we did
earlier when we were searching for the
memories and pulling in the most recent
memories we're just going to click on
this from list base drop down here and
we're going to go find the agent agent
memory right there and for the table
we'll drop that one down I'll type in
memory and I'll click on the memory
table this should be set to map each
column manually so I'll change this to
the expression tab on my memory and I'm
just going to paste in my expression but
I'm just using the from Ai and then I'm
putting in a name for the tool and now
this from AI expression is going to
allow the agent to write its own
memories right here now I'll go back to
the canvas and now this is getting
really close to being completed now we
just need to send the message back to
telegram so I'll hit the plus button
right here I'll type in Telegram and
I'll click on the telegram I'll search
for send and you should see send a text
message I'll click on that I'm going to
paste in this expression that I already
have here it's just calling for the
telegram trigger and it's pulling in the
chat ID from that telegram trigger so
that's just referring to this and it's
pulling the chat ID that this outputs
just like we had to put the chat ID in
the window buffer memory here so if the
name of your node is telegram trigger
this should work and again I'm referring
to this name right here telegram trigger
so we'll go back into send message this
one's going to be an expression as well
and I'm just going to paste in this
expression json. output so this is just
pulling the output from the previous
node so if you see a dollar sign and
it's not referencing a node like this
it's just pulling it from the previous
node and all it's doing is grabbing the
Json objective output from this AI agent
node when it's done outputting so I'll
click back in now I'm going to go ahead
and test out this entire workflow to do
that I'll activate the workflow and hit
got it I'll make sure it says saved up
here and everything looks pretty good so
I'll open up my super memory bot here
and I'm just going to send it a message
and just say what do you know about
me and let's see if it can figure out
that my name is Carter all right perfect
it came back and it said I know that
your name is Carter I didn't tell it
that it's not in its context the reason
that it knew is because this air table
record right here sent in that memory
that I added to begin with now for the
next experiment we're going to head over
to air table while we still have
telegram open and we can see here it
says user's name is Carter but if I
wanted to add a new memory to the memory
database I can just say something like I
have a dog named Rees and I can say send
that off and as you can see it sent a
response here it says that's great to
know Reese must be a wonderful companion
if you want to share more about your dog
or anything else I'm all ears and
furthermore it added this memory in here
Carter has a dog named Reese it can even
add multiple memories at once so if I
just said something like I live in
Michigan and I'll add another list item
here my favorite Starbucks order is a
caramel latte with a a double shot of
off and boom you saw that add those real
time Carter's favorite Starbucks order
is a carel latte with a double shot of
espresso and Carter lives in Michigan
and it gave me this beautiful response right
right
here now if I wanted to make this a
voice agent our community actually has a
plug-in play way to actually set up this
telegram voice agent so I'm just going
to go to the classroom in AI foundations
I'll go into the nadn Mastery course and
I'll scroll down to communication
mediums and on communication mediums we
show you guys how to connect to all
these different platforms like slack
telegram WhatsApp open web UI and it's a
growing list so my brother Drake
actually made a telegram Text Plus voice
automation right here that allows you to
plug this into any of your agents so I'm
just going to go ahead and download the
Json for this and then I'll just paste
it straight into nadn I'll show you how
simple that is so we'll download this
file and I'll just open it up in a text
editor or vs code and I'll copy all of
this Json here then I can head back into
n8n and I can just paste it right above
my automation down
here and we'll drag it up and I don't
need all of this right I already have an
AI agent and I have a lot of these
things set up but what I can do is I can
just pull the important components out
of here so I have my telegram trigger
what I don't have is the Switcher right
here so I need to remove this and
connect it to the switcher I need to
delete this connection here because it
created a connection uh I'll delete this
too and I'll add that back in in a
moment but we need edit fields and we
need this edit fields to go into the
merge and I'll just drag this out so
here now I'll go into this telegram get
file and I'll make sure that my
credential is connected here I'll go
back to Canvas and now you see that
there's no more warning on that one and
when you get this file from telegram you
need to add an open AI transcriber so
I'll go open AI transcriber
recording I'll go back to Canvas and now
that this transcriber recording is in
here I can drag that into input one as
well now to get the window buffer memory
updated and the input variable for the
AI agent I can go into the memory of
this template Automation and copy the
key then I can go into my window buffer
memory here and I can just paste that
key in and the reason this doesn't work
is because his was named telegram
trigger one mine is just named telegram
trigger so I'll just delete that one out
of there and now it's pulling through my
session ID so that it can keep a
short-term memory of the conversation I
can go back to Canvas and I'm going to
delete the rest of this information
since we already have it and there's
just one final step to get voice working
with this AI agent I just need to make
sure sure that the variable maps in
properly because it's not pulling the
text directly from this telegram trigger
anymore it's pulling it from either one
of these fields to get this variable
I'll make sure that this is active I'll
hit save and I'll go back to my super
memory bot and I'm just going to send
through a voice note hey there this is
just a test voice note to map the
variables properly so now it's going to
send that voice note through it's going
to go down this voice route it'll
transcribe that recording into text and
then it'll pass it into the merge here
so now that execution should have gone
off in the background so I can go to
executions and I'll see that there's an
execution here that has an error now the
reason that it has an error is because
you can see that it went down that voice
route here and it went into the merge
but once it got to the agent the agent
didn't understand this response that was
coming in because it no longer had the
input field from this telegram trigger
it went down this voice route and it's a
different input field now so I'm going
to hit debug in editor and this is going
to pull me back to the editor with the
information passed through I can open up
my AI agent now and instead of this Json
message text we're just going to remove
that text and I'm going to drag in this
new text property now if I go back to
Canvas and I hit save and we'll go into
our execution here and I'm going to
unpin it and hit back to Canvas once
more and now we'll send it off a new
test hey there what do you know about me
and as you can see it came back with the
proper response if I go into executions
on nadn you can see that it succeeded
here so if I click on that succeeded one
you can see how that response played out
here I hope you guys enjoyed building
this agent that has long-term memory
using air table and nadn if you want to
improve your knowledge around AI agents
or just the basics of artificial
intelligence and surround yourself with
the community of like-minded individuals
then again I recommend you join AI
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