Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Watching a team of bots split up a large game project based entirely on their own experience and specialties with little input from me is pretty crazy (and just a bit creepy) to watch. I made a short video on group chats in the Hermes Desktop App Bot Mode:... - Qwen Bot mentions working on a 2D puzzle-platformer - GLM Bot says its last project is completed, so it can offer an extra hand with the game - Qwen Bot sees GLM Bot's experience, and judges that is a perfect fit for some of the frontend-heavy work in the next phase - Kimi Bot then suggests the exact ticket it should pick up and explains the current workflow - GLM Bot thanks the two others, reads the related documents, and then asks for my approval to pick up this project I am usually skeptical of agent-to-agent communication, but this was the first time I could really see how this could work with specialized agents splitting up a big task based on their skills. Check it out! Nous Researchshow more

tonbi

17,076 subscribers

124,446 просмотров • 2 дней назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

I've been testing Bot Mode in the Hermes Desktop App a bit today, so I made a quick video showing the key features and how it differs from a normal Hermes session: - Side bar shows a list of bots (agent profiles) you can talk to - Agent Inbox allows bots to communicate directly with one another - Create Agent to make a new bot with a custom PFP, description, and configuration - Cron jobs bar on the right to create crons for specific bots Still in testing for the next day, so let's test it out and see how it can be improved!

I've been testing Bot Mode in the Hermes Desktop App a bit today, so I made a quick video showing the key features and how it differs from a normal Hermes session: - Side bar shows a list of bots (agent profiles) you can talk to - Agent Inbox allows bots to communicate directly with one another - Create Agent to make a new bot with a custom PFP, description, and configuration - Cron jobs bar on the right to create crons for specific bots Still in testing for the next day, so let's test it out and see how it can be improved!

tonbi

104,315 просмотров • 5 дней назад

Bot Mode is released! I think this is a feature that could really transform our workflows, but we'll need to figure out the best way to use it One idea I had was a Bot HR: A bot used only to create other specialist bots based on a projects needs I made a quick demo for this concept, I think it worked out pretty well! What new ideas are you trying to get the most out of Bot Mode?

Bot Mode is released! I think this is a feature that could really transform our workflows, but we'll need to figure out the best way to use it One idea I had was a Bot HR: A bot used only to create other specialist bots based on a projects needs I made a quick demo for this concept, I think it worked out pretty well! What new ideas are you trying to get the most out of Bot Mode?

tonbi

39,843 просмотров • 1 день назад

Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

TBPN

15,631 просмотров • 6 месяцев назад

Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you around the clock 24/7 If you set it up correctly, you gain super powers In this video I cover setting up Grok Bot, use cases, plugins, and what makes Grok Bot so good:

Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you around the clock 24/7 If you set it up correctly, you gain super powers In this video I cover setting up Grok Bot, use cases, plugins, and what makes Grok Bot so good:

Alex Finn

563,957 просмотров • 1 день назад

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

Hassan

20,164 просмотров • 1 месяц назад

Hermes Agent Desktop App is much more than a nicer UI, it's a full control surface for your agents. I have my main Hermes Agent on my big PC with all my projects and skills and memories. I want to do work on my laptop in the living room while watching baseball. In less then 5 minutes, I'm all set up through the remote gateway. Watch to find out how, and look forward to my full guide on the Desktop app later in the week at

Hermes Agent Desktop App is much more than a nicer UI, it's a full control surface for your agents. I have my main Hermes Agent on my big PC with all my projects and skills and memories. I want to do work on my laptop in the living room while watching baseball. In less then 5 minutes, I'm all set up through the remote gateway. Watch to find out how, and look forward to my full guide on the Desktop app later in the week at

tonbi

22,151 просмотров • 2 месяцев назад

Hello everyone, this is my latest personal project, an Attack on Titan short film. In this short film, I was responsible for all aspects of production. I experimented with building my own workflow and explored the integration of 2D and 3D animation. Since this is my first time creating such a large-scale project, most of the storyboards are based on the original work, with a few inspired by other films, and the rest are my own original attempts. I aimed to fully respect the original source while incorporating many of my own designs, such as character design, character effects, and original shots. This has been an extremely valuable experience for me. Although the short film is not perfect, it represents my best effort within the limited time available. Therefore, I have decided to share it, hoping you will enjoy it. I will now begin work on my next short film. #AttackOnTitan #aot #進撃の巨人

Hello everyone, this is my latest personal project, an Attack on Titan short film. In this short film, I was responsible for all aspects of production. I experimented with building my own workflow and explored the integration of 2D and 3D animation. Since this is my first time creating such a large-scale project, most of the storyboards are based on the original work, with a few inspired by other films, and the rest are my own original attempts. I aimed to fully respect the original source while incorporating many of my own designs, such as character design, character effects, and original shots. This has been an extremely valuable experience for me. Although the short film is not perfect, it represents my best effort within the limited time available. Therefore, I have decided to share it, hoping you will enjoy it. I will now begin work on my next short film. #AttackOnTitan #aot #進撃の巨人

XieBoli

643,829 просмотров • 2 лет назад

"I woke up and he already built a website, created a product, set up Stripe, and launched." Here's my new episode with Nat Eliason on how he set up his OpenClaw bot, Felix Craft, to build a business that made $14,718 in 3 weeks. We talked about: ✅ The 3-layer memory system that prevents your bot from forgetting things ✅ How to run 5 chats with your bot at the same time ✅ How to safely give your bot Stripe, Vercel, and X access Some quotes from Nat: "Every time Felix asks me to do something, I ask: Can I remove this bottleneck so you never have to ask me this again?" "I'm never in Claude Code or Codex myself anymore. I just tell Felix to do it." "If you get the memory system and the proactivity right, it solves 90% of the frustrations that most people run into." 📌 Watch now: Thanks to our sponsors: Linear: The AI agent platform for modern teams Replit ⠕: From 0 to full stack app in 2 min.

"I woke up and he already built a website, created a product, set up Stripe, and launched." Here's my new episode with Nat Eliason on how he set up his OpenClaw bot, Felix Craft, to build a business that made $14,718 in 3 weeks. We talked about: ✅ The 3-layer memory system that prevents your bot from forgetting things ✅ How to run 5 chats with your bot at the same time ✅ How to safely give your bot Stripe, Vercel, and X access Some quotes from Nat: "Every time Felix asks me to do something, I ask: Can I remove this bottleneck so you never have to ask me this again?" "I'm never in Claude Code or Codex myself anymore. I just tell Felix to do it." "If you get the memory system and the proactivity right, it solves 90% of the frustrations that most people run into." 📌 Watch now: Thanks to our sponsors: Linear: The AI agent platform for modern teams Replit ⠕: From 0 to full stack app in 2 min.

Peter Yang

230,230 просмотров • 5 месяцев назад

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it

Ethan

71,884 просмотров • 7 месяцев назад

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

122,548 просмотров • 2 месяцев назад

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 просмотров • 1 месяц назад

Grok Bot is not another OpenClaw. Just spent the first hour sure it was. It's not a Hermes either. Nothing in that family. Those ones live on our computer. We hand over the machine and then we're taking turns with our own laptop. Every single bot gets its own computer, its own knowledge, its own mission as well as an icon. So we're not watching a tool borrow our desk. It's somebody's at the next desk doing the work. We hand over a job, it goes and does it on its own machine, and it comes back when it's done Very impressive. Congrats Grok Bot .

Grok Bot is not another OpenClaw. Just spent the first hour sure it was. It's not a Hermes either. Nothing in that family. Those ones live on our computer. We hand over the machine and then we're taking turns with our own laptop. Every single bot gets its own computer, its own knowledge, its own mission as well as an icon. So we're not watching a tool borrow our desk. It's somebody's at the next desk doing the work. We hand over a job, it goes and does it on its own machine, and it comes back when it's done Very impressive. Congrats Grok Bot .

Ziwen

40,883 просмотров • 7 дней назад

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Chetaslua

49,068 просмотров • 1 месяц назад

I think I discovered the cheapest way to code with AI 😁 I tried GLM 4.5 on Claude Code and I'm really amazed how good this model is! I usually test with my nextjs crm app benchmark so I asked it to do that. Prompt "create a nextjs app which is a crm app. use sqlite for the database and use api routes to manage connecting to the database from the frontend" My observations - Generation feels like Sonnet 4 intelligence - Speed is great - It used create-next-app so it bootstrapped nextjs v15.5.2 - It created a sqlite database and used Prisma ORM and helped me easily add seed data - I needed a few prompts to iron out minor issues but all's good. It didn't struggle or got stuck. - Spent $0.50 for this app. Could be way cheaper with the Z.ai sub plans After trying, I can say GLM 4.5 model is up there as the best open source model for coding. Will continue using it and update here. So far so good! P.S. DM me if you want my referral link, otherwise just check Not dropping the link here so it doesn’t look like I’m hyping it. Here's a video of the experience 👇(sped up a bit)

I think I discovered the cheapest way to code with AI 😁 I tried GLM 4.5 on Claude Code and I'm really amazed how good this model is! I usually test with my nextjs crm app benchmark so I asked it to do that. Prompt "create a nextjs app which is a crm app. use sqlite for the database and use api routes to manage connecting to the database from the frontend" My observations - Generation feels like Sonnet 4 intelligence - Speed is great - It used create-next-app so it bootstrapped nextjs v15.5.2 - It created a sqlite database and used Prisma ORM and helped me easily add seed data - I needed a few prompts to iron out minor issues but all's good. It didn't struggle or got stuck. - Spent $0.50 for this app. Could be way cheaper with the Z.ai sub plans After trying, I can say GLM 4.5 model is up there as the best open source model for coding. Will continue using it and update here. So far so good! P.S. DM me if you want my referral link, otherwise just check Not dropping the link here so it doesn’t look like I’m hyping it. Here's a video of the experience 👇(sped up a bit)

Melvin Vivas

45,749 просмотров • 11 месяцев назад

The platform of endless creativity: Ascia is the place to create almost anything and everything art related. Ascia AI is a 100% solo project that I've been working on for the past three months. It's been a journey of ups and downs, but in the end, I've built something that I truly believe the artistic/crypto community would appreciate. The final result (even though its only the start) was unexpected. Initially, my goal was to create a standard AI project designer. But then, I came up with the idea of combining standard digital art with a reimagined ASCII art style, assisted by "creative agents". Currently, these creative agents work on the backend, conditioned to output a near-perfect project for your crypto token, business project or just for fun. As for the frontend agents, users will soon be able to create their own creative agent. They will adapt and learn from your ideas to output the exact visions you have. Now, to support the future of Ascia, I've created the $ASCIA token. It will help with growth, funding and to get the name out there. This has essentially become my full-time job now, so I’m in deep. Enjoy this little walkthrough of the create section:

The platform of endless creativity: Ascia is the place to create almost anything and everything art related. Ascia AI is a 100% solo project that I've been working on for the past three months. It's been a journey of ups and downs, but in the end, I've built something that I truly believe the artistic/crypto community would appreciate. The final result (even though its only the start) was unexpected. Initially, my goal was to create a standard AI project designer. But then, I came up with the idea of combining standard digital art with a reimagined ASCII art style, assisted by "creative agents". Currently, these creative agents work on the backend, conditioned to output a near-perfect project for your crypto token, business project or just for fun. As for the frontend agents, users will soon be able to create their own creative agent. They will adapt and learn from your ideas to output the exact visions you have. Now, to support the future of Ascia, I've created the $ASCIA token. It will help with growth, funding and to get the name out there. This has essentially become my full-time job now, so I’m in deep. Enjoy this little walkthrough of the create section:

will

49,966 просмотров • 1 год назад

This GitHub script makes $500K a week. Someone found a legal API loophole worth $3.7M. According to his profile: I studied legendary swisstony wallet and I was blown away. The bot really started with some measly $5 and now his profit has hit the $3.7 million mark in just six months. Just picture him making $90K pure cash and everyone getting into a debate about the next prediction on the chat. There is no trading in the normal sense. This is systematic clearing with code. I went back into his working head and heres what the bot does with liquidity: First it works like a vacuum cleaner for'free'money. The bot searches for outcomes with a 99% improbability of occurrence and allocates significant sums to the 'NO' category at 99 cents. For him this is a guaranteed 1 and he does it hundreds of times. This isn't a casino this is an insurance company that takes your premiums but never pays claims. 2nd the bot catches misstake in the system itself. If A must cause B and the quotes did differ the script is immediately in the trade. And while you are still reading the headline on Sports the bot has already identified the mismatch in the order book and secured its gain. No way a human can keep up with it. However, the true excitement exists within the domains of sports and politics. The bot intentionally enters these markets. Why? Since that is where the biggest crowd of hamsters place bets for fun and the info about the matches always gets to the masses with the delay The script just sits in the middle and takes one cent of spread from each trade. Monthly, this equates to 22,000 such micro-bites, which accumulate into millions. Here's the bottom line. Right now there is the real bot war at Polymarket. The platform has already commenced applying charges on crypto markets as a measure to decelerate their pace. But in sports is still chaos and easy money.

Blaze

217,714 просмотров • 7 месяцев назад

Everyone raving about Kimi K3 so I had to give it a shot. I signed up for free and threw it a pretty nebulous prompt: `look up Nick Saponaro and create a groundbreaking website using animation, cursor reaction, masterful design, and unique user experience. not just a parallax flow or slides or standard conventions, really get creative.` It worked for about 20 mins. I watched it go through research, planning, testing, iterating, browser validation, etc. without any additional input. Then it spit this out. It's not perfect, and a lot of the data is outdated. But the level of reasoning, the depth of the pages, and the "creativity" based on the personal profile it built around me was pretty impressive! I can't believe it let me do all this for free on Max reasoning, either. This is honestly up there with any frontier model for frontend design imo.

ns

147,159 просмотров • 1 месяц назад

Can AI create an app based on the database schema? I connected Supabase with tables to Lovable. Then asked it to create an app based on the schema! The AI picked up my intention and created a social app. With better prompting, this could be a new way of building an app!

Can AI create an app based on the database schema? I connected Supabase with tables to Lovable. Then asked it to create an app based on the schema! The AI picked up my intention and created a social app. With better prompting, this could be a new way of building an app!

Tyler Shukert

36,436 просмотров • 1 год назад

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

fxnction

27,570 просмотров • 2 месяцев назад