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Meet the new Microsoft PostgreSQL extension for Visual Studio Code - packed with powerful tools to supercharge your PostgreSQL workflow, like: 🤖 Agent mode integration 💡 Schema visualization ⚡ Instant Docker PostgreSQL 🔎 IntelliSense-powered queries Learn more:

Visual Studio Code

805,537 subscribers

246,187 views • 1 year ago •via X (Twitter)

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10 Comments

Nick Muller1 year ago

Curious if this can finally replace Azure Data Studio’s Postgres plugin for me 😁

Manticore Search1 year ago

🚀 Star Manticore Search on #GitHub today and join our quest for the ultimate search solution!

Ben Dower1 year ago

i usually used to tell AI to make a script that sets up the database.

NFLComedySkits1 year ago

VS Code has been cooking lately! My next project will be creating a database so I need to try this extension 💯

Kingsley Uyi Idehen1 year ago

Why is it DBMS-specific in the age of MCP (Model Context Protocol) and the existence of MCP servers for ODBC, JDBC, and

Vinayak Soni1 year ago

hi can we use mssql database with this? or any other mcp you know @code

ἀꑭατολή ✙ ➔1 year ago

Finally

Andy Targaryen1 year ago

wow

Iliya Kisliy1 year ago

@theo wdyt

Vishal1 year ago

This Microsoft PostgreSQL extension looks really useful. It has smart tools to make working with PostgreSQL easier and faster.

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The PostgreSQL extension for Visual Studio Code is here! Gwyneth Peña-Siguenza shows you how to get started with creating a new Docker PostreSQL server, managing your connections, chatting with your database, and more.

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The PostgreSQL extension for Visual Studio Code is here! Gwyneth Peña-Siguenza shows you how to get started with creating a new Docker PostreSQL server, managing your connections, chatting with your database, and more.

Visual Studio Code

42,029 views • 1 year ago

Want your own PostgreSQL expert, right in Visual Studio Code? Use the PostgreSQL DBA chat mode for a more tailored chat experience! Find it in the repo, a community-contributed resource for customizing GitHub Copilot.

Want your own PostgreSQL expert, right in Visual Studio Code? Use the PostgreSQL DBA chat mode for a more tailored chat experience! Find it in the repo, a community-contributed resource for customizing GitHub Copilot.

Visual Studio Code

24,155 views • 11 months ago

This is, by far, one of the best uses of modern AI. If you don't use embeddings when querying your database, you are definitely leaving a lot on the table. In this video, I'll show you how to run semantic searches using OpenAI and PostgreSQL. It's all thanks to Pgai, an open-source PostgreSQL extension: Here's what will happen: 1. We'll create a simple table with news articles 2. We'll generate embeddings for those articles 3. We'll run queries on top of those embeddings For this video, I generated the embeddings using a simple query, but pgai Vectorizer would do the same automatically as new information makes it into the database. This is awesome! If you have a PostgreSQL database with data you are searching over, you should start experimenting with semantic searches immediately. For most use cases, a combination of full-text search + semantic search is the best approach. If you don't have a PostgreSQL database around, you can try free for 30 days using Timescale: Thanks to the Timescale (now TigerData) team for partnering with me on this post!

This is, by far, one of the best uses of modern AI. If you don't use embeddings when querying your database, you are definitely leaving a lot on the table. In this video, I'll show you how to run semantic searches using OpenAI and PostgreSQL. It's all thanks to Pgai, an open-source PostgreSQL extension: Here's what will happen: 1. We'll create a simple table with news articles 2. We'll generate embeddings for those articles 3. We'll run queries on top of those embeddings For this video, I generated the embeddings using a simple query, but pgai Vectorizer would do the same automatically as new information makes it into the database. This is awesome! If you have a PostgreSQL database with data you are searching over, you should start experimenting with semantic searches immediately. For most use cases, a combination of full-text search + semantic search is the best approach. If you don't have a PostgreSQL database around, you can try free for 30 days using Timescale: Thanks to the Timescale (now TigerData) team for partnering with me on this post!

Santiago

109,517 views • 1 year ago

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

Visual Studio Code

55,133 views • 4 months ago

⚡ VS Code just shipped a big wave of GitHub Copilot upgrades! 🌐 Build and validate web apps with browser agent tools 🤖 Manage parallel agent workflows with the Agents window (Preview) 🎓 New VS Code Learn courses ✨ Plus Autopilot improvements, model discovery for BYOK, cost visibility, and much more. 📖 Read the full changelog: Happy coding! 💙

⚡ VS Code just shipped a big wave of GitHub Copilot upgrades! 🌐 Build and validate web apps with browser agent tools 🤖 Manage parallel agent workflows with the Agents window (Preview) 🎓 New VS Code Learn courses ✨ Plus Autopilot improvements, model discovery for BYOK, cost visibility, and much more. 📖 Read the full changelog: Happy coding! 💙

Visual Studio Code

47,838 views • 11 days ago

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use

INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!! Grok 3 generated the code for an AI agent that manages your Gmail - send, reply, and draft effortlessly Here's how it works: - Connect with your Gmail using Composio - Use Lovable to build an extremely cool frontend for the Agent - Agentic workflow with LlamaIndex Built with LlamaIndex 🦙 To connect your agents with more tools like Gmail, use

Karan Vaidya

62,030 views • 1 year ago

Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵

Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵

swarms

21,052 views • 1 month ago

🛡️ Meet Bitviser — The Smarter Crypto Wallet Manage your crypto with full control, real security, and AI-powered tools. 🔐 Non-custodial — You own your keys 🔄 Swap and transfer tokens instantly 🚨 Get alerted on suspicious transactions 💼 Organize multiple wallets with ease ⚡ Import existing wallets with no hassle 🌐 Connect directly to your favorite dApps 📈 Track prices and set custom alerts 🤖 AI Chat Bot for instant support 🌍 Use Bitviser in your preferred language 👉 Download now and experience the difference:

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Mr Dari ₿

132,463 views • 11 months ago

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

LangChain

26,513 views • 6 months ago

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.

Santiago

73,062 views • 8 months ago

🚀Introducing Flockx by Fetch.ai your No-Code Business & Personal Agents 👇 Starting today FlockX by enables businesses of all sizes to launch dedicated AI Agents—intelligent, autonomous representatives designed to drive measurable growth in revenue, customer retention, and operational efficiency. ✅Key Features: Zero-Code Agent Creation: Deploy your AI Agent in minutes using FlockX’s intuitive platform. No technical expertise required. Global Reach via Businesses gain instant access to a global audience, while users unlock seamless connections to enterprises worldwide—mutually empowering growth. Engage clients, resolve queries, and capture global opportunities as users interact seamlessly with your business through the platform. Proven Business Impact: Effortlessly automate critical workflows, from lead generation to loyalty management, with precision and scalability. Seamless community integration: Understand and engage your audience by connecting your AI Agent to Discord and Telegram Messenger, with tools like calendars, information dashboards, and embedded chat widgets streamlining communication. Built with the trusted uAgents framework: and hosted securely on these Agents integrate directly into your existing systems while adapting to evolving demands. 🔗Next Steps: Create your AI Agent: Claim pre-registered access: Over 1 million businesses have already been onboarded—verify if your Agent is ready for activation. The AI-driven economy demands agility. Equip your business with the tools to compete—and lead. Learn how to deploy your Agent in one minute or less.

🚀Introducing Flockx by Fetch.ai your No-Code Business & Personal Agents 👇 Starting today FlockX by enables businesses of all sizes to launch dedicated AI Agents—intelligent, autonomous representatives designed to drive measurable growth in revenue, customer retention, and operational efficiency. ✅Key Features: Zero-Code Agent Creation: Deploy your AI Agent in minutes using FlockX’s intuitive platform. No technical expertise required. Global Reach via Businesses gain instant access to a global audience, while users unlock seamless connections to enterprises worldwide—mutually empowering growth. Engage clients, resolve queries, and capture global opportunities as users interact seamlessly with your business through the platform. Proven Business Impact: Effortlessly automate critical workflows, from lead generation to loyalty management, with precision and scalability. Seamless community integration: Understand and engage your audience by connecting your AI Agent to Discord and Telegram Messenger, with tools like calendars, information dashboards, and embedded chat widgets streamlining communication. Built with the trusted uAgents framework: and hosted securely on these Agents integrate directly into your existing systems while adapting to evolving demands. 🔗Next Steps: Create your AI Agent: Claim pre-registered access: Over 1 million businesses have already been onboarded—verify if your Agent is ready for activation. The AI-driven economy demands agility. Equip your business with the tools to compete—and lead. Learn how to deploy your Agent in one minute or less.

Fetch.ai

38,274 views • 1 year ago

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Akshay 🚀

280,449 views • 1 year ago

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,696 views • 10 months ago

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Jerry Liu

20,413 views • 1 year ago

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box

335,591 views • 4 months ago

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!

Avi Chawla

186,931 views • 6 months ago

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

466,476 views • 2 months ago

🚀 Exciting Update Alert! 🚀 We’re thrilled to announce a major update coming soon for Reactor, our AI model! Here’s what’s new: 🔍 Enhanced Search Capabilities: - News Search: Stay up-to-date with the latest happenings. - X & YouTube Search: Find trending content and videos instantly. - Reddit Search: Dive into discussions and communities with ease. - Wolfram Alpha Integration: Solve complex math problems and get accurate answers. 📚 References & Research: - Access reliable references and data for your queries. 🖼️ Visual Search & Creation: - Image & Video Search: Find visuals faster than ever. - Image Generation: Create stunning images with AI-powered tools. And that’s not all! We’ve also improved performance and added behind-the-scenes enhancements to make Reactor even more intuitive and responsive. Try out the new features today and let us know what you think! Your feedback helps us keep improving. 💡

🚀 Exciting Update Alert! 🚀 We’re thrilled to announce a major update coming soon for Reactor, our AI model! Here’s what’s new: 🔍 Enhanced Search Capabilities: - News Search: Stay up-to-date with the latest happenings. - X & YouTube Search: Find trending content and videos instantly. - Reddit Search: Dive into discussions and communities with ease. - Wolfram Alpha Integration: Solve complex math problems and get accurate answers. 📚 References & Research: - Access reliable references and data for your queries. 🖼️ Visual Search & Creation: - Image & Video Search: Find visuals faster than ever. - Image Generation: Create stunning images with AI-powered tools. And that’s not all! We’ve also improved performance and added behind-the-scenes enhancements to make Reactor even more intuitive and responsive. Try out the new features today and let us know what you think! Your feedback helps us keep improving. 💡

ARC

87,518 views • 1 year ago