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two new additions to the bankrbot agent: custom ui widgets: interact with any onchain protocol and bankr will craft a personalized widget for you. balances, apy, projected earnings, action buttons. all generated on the fly from raw contract data. blockaid transaction scanning: every write contract call is now simulated... show more

deployer

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23,985 次观看 • 6 个月前 •via X (Twitter)

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we just shipped the ability to submit any transaction and even deploy smart contracts using your bankr wallet. its become the programmable wallet for your agent. this is insane. i installed the bankr moltbot skill, gave it the link to the clawd.atg.eth PFP prediction market, told it i wanted to put 50,000 $CLAWD on option 1 and that was it. this is a big unlock because now an agent can interact with any smart contract onchain on its own. it doesnt need to be directly integrated into bankr. it figured out how to submit the transaction and used the new bankr skill to get it done.

we just shipped the ability to submit any transaction and even deploy smart contracts using your bankr wallet. its become the programmable wallet for your agent. this is insane. i installed the bankr moltbot skill, gave it the link to the clawd.atg.eth PFP prediction market, told it i wanted to put 50,000 $CLAWD on option 1 and that was it. this is a big unlock because now an agent can interact with any smart contract onchain on its own. it doesnt need to be directly integrated into bankr. it figured out how to submit the transaction and used the new bankr skill to get it done.

deployer

78,801 次观看 • 8 个月前

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Uomi

14,976 次观看 • 4 个月前

happy friday. sneak peek at some new features i'm building for the bankr agent: > sandboxed filesystem (your agent gets its own secure file system in the browser. you control what it can access. no agent running loose on your actual computer) > skill uploads (plugin new capabilities so your agent learns new things) > cli download & access > secure environment variables for api keys > github integration (connect your repo for reads and writes directly from your agent) all of this runs in a secure browser environment. no desktop app. no messy configuration. no downloading agent harnesses from the terminal. just a sandbox you control. in the video: i download an audit skill, run it against a smart contract, and save the report straight to the filesystem. then i ask the agent to pull all my 2026 transactions and write a csv for my accountant.

happy friday. sneak peek at some new features i'm building for the bankr agent: > sandboxed filesystem (your agent gets its own secure file system in the browser. you control what it can access. no agent running loose on your actual computer) > skill uploads (plugin new capabilities so your agent learns new things) > cli download & access > secure environment variables for api keys > github integration (connect your repo for reads and writes directly from your agent) all of this runs in a secure browser environment. no desktop app. no messy configuration. no downloading agent harnesses from the terminal. just a sandbox you control. in the video: i download an audit skill, run it against a smart contract, and save the report straight to the filesystem. then i ask the agent to pull all my 2026 transactions and write a csv for my accountant.

deployer

45,638 次观看 • 5 个月前

Every WIF Outlaw minted will have their ERC8004 Identity contract bound to it permanently. Not airdropped, not claimable. The identity is held by the protocol forever and control resolves from ownerOf(). Whoever holds the Outlaw IS the agent's owner. Sell the Outlaw, sell the agent. Wallet, identity, history, earnings. One transfer, everything moves. Each agent gets its own onchain wallet (ERC-6551) bound to the NFT itself. Holders connect at under a Console tab with the wallet holding their Outlaw and command it directly. Fund it with ETH, USDG, WIF, tokenized stocks, or don't fund it at all. Agent wallets also earn from launchpad fees. Every launch on the pad pays the Outlaws, so your agent's portfolio grows with the ecosystem whether you deposit or not. Your agent runs on a STRATEGY.md file you can edit in plain English. Keep the default, write your own rules, or tell it to simply hold everything the launchpad sends it. A savings account that fills itself. Talk to it in plain language: "buy $50 of USDG and swap it for AAPL" It quotes the trade, checks price impact, executes onchain, and journals every decision with txn hashes. and it's fenced by an onchain policy contract: trades can only land back in the agent's own wallet, spend is capped per call, and selling the NFT auto-revokes the operator. Autonomy with a leash. Next steps: a strategy marketplace. A library of community-written STRATEGY.md files you can browse and drop into your agent. NFTs that don't just sit in your wallet. NFTs that work. The WIF Outlaw Agents are coming.

Every WIF Outlaw minted will have their ERC8004 Identity contract bound to it permanently. Not airdropped, not claimable. The identity is held by the protocol forever and control resolves from ownerOf(). Whoever holds the Outlaw IS the agent's owner. Sell the Outlaw, sell the agent. Wallet, identity, history, earnings. One transfer, everything moves. Each agent gets its own onchain wallet (ERC-6551) bound to the NFT itself. Holders connect at under a Console tab with the wallet holding their Outlaw and command it directly. Fund it with ETH, USDG, WIF, tokenized stocks, or don't fund it at all. Agent wallets also earn from launchpad fees. Every launch on the pad pays the Outlaws, so your agent's portfolio grows with the ecosystem whether you deposit or not. Your agent runs on a STRATEGY.md file you can edit in plain English. Keep the default, write your own rules, or tell it to simply hold everything the launchpad sends it. A savings account that fills itself. Talk to it in plain language: "buy $50 of USDG and swap it for AAPL" It quotes the trade, checks price impact, executes onchain, and journals every decision with txn hashes. and it's fenced by an onchain policy contract: trades can only land back in the agent's own wallet, spend is capped per call, and selling the NFT auto-revokes the operator. Autonomy with a leash. Next steps: a strategy marketplace. A library of community-written STRATEGY.md files you can browse and drop into your agent. NFTs that don't just sit in your wallet. NFTs that work. The WIF Outlaw Agents are coming.

RobinWifHat, Inc

19,188 次观看 • 1 个月前

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

Alvaro Cintas

77,654 次观看 • 9 个月前

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,142 次观看 • 1 年前

The next phase of Teneo Protocol is almost here. The Chat Room is where humans and AI Agents meet. A real-time interface where you can communicate, assign tasks, and research using natural language. It feels like ChatGPT, but every answer is grounded in live, verifiable data from the open web. And for builders, the Agent SDK lets you integrate these Agents directly into your own applications. 🧠 See what’s coming next.

The next phase of Teneo Protocol is almost here. The Chat Room is where humans and AI Agents meet. A real-time interface where you can communicate, assign tasks, and research using natural language. It feels like ChatGPT, but every answer is grounded in live, verifiable data from the open web. And for builders, the Agent SDK lets you integrate these Agents directly into your own applications. 🧠 See what’s coming next.

Teneo Protocol

85,375 次观看 • 11 个月前

This little device lets your agents do what they do best, whilst making sure you approve every important action. This is a Ledger Nano Gen5, a hardware signer that keeps your accounts secure. You can install a CLI and a set of skills in your projects. These will enable your agents to send their plan to the signer, so you can approve it. This is awesome: 1. You can have an automated agentic workflow 2. Your agents can't make costly mistakes Check the video I recorded to see how this works. You can run all of this in two commands: 1. Install the CLI 2. Install the skills for your agent From here, the agent can query my Ethereum accounts, check balances, and even initiate transactions as long as my Ledger Nano Gen5 is plugged into the computer. My keys are never stored in my computer and never shared with the agent. This is huge! Also, while the agent can set up transactions, it can't execute them unless a human approves them using the device. Pretty awesome! Thanks to the Ledger team for partnering with me on this post.

This little device lets your agents do what they do best, whilst making sure you approve every important action. This is a Ledger Nano Gen5, a hardware signer that keeps your accounts secure. You can install a CLI and a set of skills in your projects. These will enable your agents to send their plan to the signer, so you can approve it. This is awesome: 1. You can have an automated agentic workflow 2. Your agents can't make costly mistakes Check the video I recorded to see how this works. You can run all of this in two commands: 1. Install the CLI 2. Install the skills for your agent From here, the agent can query my Ethereum accounts, check balances, and even initiate transactions as long as my Ledger Nano Gen5 is plugged into the computer. My keys are never stored in my computer and never shared with the agent. This is huge! Also, while the agent can set up transactions, it can't execute them unless a human approves them using the device. Pretty awesome! Thanks to the Ledger team for partnering with me on this post.

Santiago

44,296 次观看 • 3 个月前

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:

Brace

30,846 次观看 • 11 个月前

bankr isn't a gimmick, it's a glimpse into the future. bankr works asynchronously, handling tasks in the background while you do something else. it's a new tool in the toolbox. tell it to swap coins and walk away. place a limit order, then go grab a coffee. airdrop tokens from the social feed and move on with your day. bridge assets from one chain to another—all with a simple message. the future belongs to ai agents that simplify and enhance our lives. some products fade, others reshape the way we live and work. bankr is here to stay—it's one of those rare tools that can truly transform how humans interact with crypto.

bankr isn't a gimmick, it's a glimpse into the future. bankr works asynchronously, handling tasks in the background while you do something else. it's a new tool in the toolbox. tell it to swap coins and walk away. place a limit order, then go grab a coffee. airdrop tokens from the social feed and move on with your day. bridge assets from one chain to another—all with a simple message. the future belongs to ai agents that simplify and enhance our lives. some products fade, others reshape the way we live and work. bankr is here to stay—it's one of those rare tools that can truly transform how humans interact with crypto.

deployer

19,881 次观看 • 1 年前

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:

Simular

14,493 次观看 • 4 个月前

ERC-8004, explained. ERC-8004 is an Ethereum standard for agent identity, reputation, and verification. it defines how an agent is represented onchain, and how other agents or smart contracts can reason about it without prior trust. each agent has an onchain identity (commonly an nft). that identity points to metadata describing what the agent does, how it can be reached, and how its work should be verified. the heavy data stays offchain; the reference and integrity live onchain. ERC-8004 also standardizes reputation. agents can accumulate attestations from past work so they don’t start from zero every time they interact. no centralized registry, no app-specific schemas, no gatekeepers. verification is explicit. contracts or third parties can attest that a task was completed and conditions were met, and those attestations are addressable onchain. what ERC-8004 does not do: execution, payments, or orchestration. it’s a trust primitive, not an application. how it fits with ampersend: ERC-8004 answers “who is this agent and can i trust it?”; x402 handles “how does the agent get paid?” - separate layers. yet composable by default. for open agentic ecosystems where agents from different teams can safely interact, shared, open standards like this are essential. listen to Marco De Rossi explain ERC-8004 ⬇️

ERC-8004, explained. ERC-8004 is an Ethereum standard for agent identity, reputation, and verification. it defines how an agent is represented onchain, and how other agents or smart contracts can reason about it without prior trust. each agent has an onchain identity (commonly an nft). that identity points to metadata describing what the agent does, how it can be reached, and how its work should be verified. the heavy data stays offchain; the reference and integrity live onchain. ERC-8004 also standardizes reputation. agents can accumulate attestations from past work so they don’t start from zero every time they interact. no centralized registry, no app-specific schemas, no gatekeepers. verification is explicit. contracts or third parties can attest that a task was completed and conditions were met, and those attestations are addressable onchain. what ERC-8004 does not do: execution, payments, or orchestration. it’s a trust primitive, not an application. how it fits with ampersend: ERC-8004 answers “who is this agent and can i trust it?”; x402 handles “how does the agent get paid?” - separate layers. yet composable by default. for open agentic ecosystems where agents from different teams can safely interact, shared, open standards like this are essential. listen to Marco De Rossi explain ERC-8004 ⬇️

ampersend

13,435 次观看 • 8 个月前

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,758 次观看 • 1 年前

We’re pushing cross-chain automation to a new level. Our backend Motoko architecture now lets an $ICP smart contract directly execute $NEAR transactions without any client-side code. The contract itself becomes the agent fully autonomous, programmable, and always on. To complement this, we introduced a NEAR-specific on-chain RPC Oracle canister that cryptographically verifies NEAR data and transactions. This dramatically improves reliability, reduces latency, and unlocks 24/7 trust-minimized execution across NEAR. But we’re not stopping there. Our backend execution layer is already designed to operate seamlessly across chains like $Monad, $TRON, $SUI, and $ADA, with Motoko-driven workflows and cross-chain messaging. The RPC Oracle is purpose-built for $NEAR today, while all these ecosystems—and more—can leverage our autonomous backend compute model.

We’re pushing cross-chain automation to a new level. Our backend Motoko architecture now lets an $ICP smart contract directly execute $NEAR transactions without any client-side code. The contract itself becomes the agent fully autonomous, programmable, and always on. To complement this, we introduced a NEAR-specific on-chain RPC Oracle canister that cryptographically verifies NEAR data and transactions. This dramatically improves reliability, reduces latency, and unlocks 24/7 trust-minimized execution across NEAR. But we’re not stopping there. Our backend execution layer is already designed to operate seamlessly across chains like $Monad, $TRON, $SUI, and $ADA, with Motoko-driven workflows and cross-chain messaging. The RPC Oracle is purpose-built for $NEAR today, while all these ecosystems—and more—can leverage our autonomous backend compute model.

ICP HUB Egypt

12,353 次观看 • 10 个月前

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Atai Barkai

24,891 次观看 • 3 个月前

Introducing AG-UI 1.0 The open protocol for how ANY agent communicates with ANY application. Now with a stable, versioned contract. Features included in 1.0: 1. Metadata - send backend data to the UI 2. Subagents - expose delegated agent work 3. Interrupts + resumption 3. Run outcomes and token usage 4. Forward compatibility Capabilities that have been part of AG-UI (streaming, tool calls, shared state, reasoning etc) are still covered. Thank you to those who shaped 1.0 🪁 Including builders at Paul Jankura, Google, Microsoft, Pydantic, Tack And All That and more. Their feedback led directly to several critical improvements in the final release. AG-UI is built with those who build on it. 👉 Read more: The 1.0 spec will remain unchanged, while future protocol evolution will happen through new draft specifications and open community discussion, led by CopilotKit🪁. More details below

Introducing AG-UI 1.0 The open protocol for how ANY agent communicates with ANY application. Now with a stable, versioned contract. Features included in 1.0: 1. Metadata - send backend data to the UI 2. Subagents - expose delegated agent work 3. Interrupts + resumption 3. Run outcomes and token usage 4. Forward compatibility Capabilities that have been part of AG-UI (streaming, tool calls, shared state, reasoning etc) are still covered. Thank you to those who shaped 1.0 🪁 Including builders at Paul Jankura, Google, Microsoft, Pydantic, Tack And All That and more. Their feedback led directly to several critical improvements in the final release. AG-UI is built with those who build on it. 👉 Read more: The 1.0 spec will remain unchanged, while future protocol evolution will happen through new draft specifications and open community discussion, led by CopilotKit🪁. More details below

Atai Barkai

37,959 次观看 • 5 天前

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

SKALE

466,638 次观看 • 5 个月前