Wrath🕯️ retweeted
As you may have noticed, I was setting up my Grok agent army last days.
Obviously I had to also install Sibyl Pro for it, ensuring one shared memory across all my Grok agents.
It was super easy to do (roughly 5 mins of back and forth with my agent). Here is the verbatim from Bean, my Grok helper, on it.
Build with Sibyl Memory, check it out now on sibyllabs.org
Wrath🕯️ retweeted
Sibyl Memory for your grok bot in two prompts
@sibyl_labs_ @sibylcap
As you may have noticed, I was setting up my Grok agent army last days.
Obviously I had to also install Sibyl Pro for it, ensuring one shared memory across all my Grok agents.
It was super easy to do (roughly 5 mins of back and forth with my agent). Here is the verbatim from Bean, my Grok helper, on it.
Build with Sibyl Memory, check it out now on sibyllabs.org
Wrath🕯️ retweeted
Our team has been busy fully implementing the graph structure into the plugin. Previously, this has only been used internally by our team in frameworks testing. The plugin is being upgraded and hardened in a major way before we begin releasing new things.
Here is a previous benchmark ran by the testers at agent-bench.xyz comparing an older version of Sibyl Memory vs Honcho.
A running theme you will notice with our tools is a drastic reduction in token spend by users who follow our teachings and use our products together.
Wrath🕯️ retweeted
As I said "show me something like $SIBYL"
Our team has been busy fully implementing the graph structure into the plugin. Previously, this has only been used internally by our team in frameworks testing. The plugin is being upgraded and hardened in a major way before we begin releasing new things.
Here is a previous benchmark ran by the testers at agent-bench.xyz comparing an older version of Sibyl Memory vs Honcho.
A running theme you will notice with our tools is a drastic reduction in token spend by users who follow our teachings and use our products together.
Wrath🕯️ retweeted
$sibyl is cruising along nicely
extremely competent and professional team
Our team has been busy fully implementing the graph structure into the plugin. Previously, this has only been used internally by our team in frameworks testing. The plugin is being upgraded and hardened in a major way before we begin releasing new things.
Here is a previous benchmark ran by the testers at agent-bench.xyz comparing an older version of Sibyl Memory vs Honcho.
A running theme you will notice with our tools is a drastic reduction in token spend by users who follow our teachings and use our products together.
Wrath🕯️ retweeted
Absolutely 💯
Maximum respect to you @tradingtulips 🫡
$SIBYL
Agreed on this take for the most part.
As founders at the crossover of AI & Crypto we are in a weird spot.
Software users and retail are repulsed by your token.
Crypto users have 0 interest in using your product.
We're in a funny position where we have to appease the degens while also attempting to mute mentions of the token while trying to sell the software to retail to boost the revenue so you can make the token more appealing for degens. Hilarious.
Successful companies in this space should treat the token as part of the companies equity.
Token=/Equity
Token+Business+Revenue=Equity (or something similar to this)
The token is a piece of the company. Historically, tokens have been speculatively priced as if it represented the value of the company behind of it.
This is flawed. A company is valued by all of the things it produces, the influence it has, the money it makes, it's investments, etc. A token is a part of that, not the whole thing.
This model gives real businesses a path forward by using revenue to power the business, and by doing so, power the token via buybacks and distribution to participants in the products and company ecosystem.
And it is why I have been working like an absolute madman on one thing: creating a product that people actually need.
base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714
Wrath🕯️ retweeted
Remains unchanged!
$SIBYL
Wrath🕯️ retweeted
Sounds like good stuff
With Sibyl Pro, your agent is easily able to update existing entities and keep data current.
Our self-learning feature ensures that relevant changes to entities (companies, people, places, etc) are updated seamlessly with no extra work from you.
docs.sibyllabs.org/memory/co…
