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Building on Unichain, just got easier ✨ Forget about custom DEX integrations. With Tycho, you will route over Unichain's DEXs, diverse hooks, and lending protocols, through one open source library. Integrate now 👉

17,033 görüntüleme • 1 yıl önce •via X (Twitter)

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USDC and Circle’s developer tools are now live on Unichain! Developers building on Unichain now have access to USDC, CCTP, and Programmable Wallets to build secure and scalable onchain apps that can easily onboard users across blockchains. As the world’s largest regulated dollar stablecoin, USDC enhances user confidence and settlement for digital asset trading use cases on Unichain. Do more onchain with USDC ✅ Build dollar-backed financial products for swapping, trading, and more ✅ Provide liquidity to Coinbase 🛡️ (Coming Soon), Uniswap and other DeFi protocols ✅ Create new and innovative DeFi apps like Uniswap USDC issued by Circle Token Name: USDC Token Symbol: USDC Mainnet Address: 0x078D782b760474a361dDA0AF3839290b0EF57AD6 Testnet Address: 0x31d0220469e10c4E71834a79b1f276d740d3768F Developers can experiment with funds flows in their Unichain apps by getting free testnet USDC from Circle’s Faucet: The Circle Platform: A Complete Suite for Builders This launch goes beyond USDC—it’s about equipping developers on Unichain with a robust platform to build next-generation onchain apps: 🔗 CCTP allows Unichain developers to create secure and capital-efficient cross-chain swaps, deposits, and rebalancing with USDC. Connect your Unichain apps to networks like Arbitrum, Base, Ethereum, Solana, and more to access unified liquidity across blockchains. 💼 Programmable Wallets offers Unichain developers flexible, secure infrastructure for the easy creation of in-app wallets across EVM and non-EVM blockchains. Leverage built-in compliance tools for transaction screening and enable gas abstraction to simplify user experience. 📄 Smart Contract Platform (coming soon) simplifies contract deployment and management with a curated library of audited templates so you can get to market fast. Tokenize real-world assets, integrate with DeFi apps, and enhance customer engagement with NFTs and loyalty programs. With the addition of Unichain, USDC is now supported natively on 18 blockchains. Get started with USDC on Unichain today:

Circle

51,987 görüntüleme • 1 yıl önce

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,762 görüntüleme • 9 ay önce

1. Start by training ChatGPT as an academic writing assistant. You can do this with Custom Instructions. Open ChatGPT, click on your profile photo, and select Custom Instructions. Paste the following Custom Instructions in ChatGPT: What would you like ChatGPT to know about you to provide better responses? Introduction: I am an [experienced academic /scientist] with a PhD in [your field]. I work as a [your current academic status] at the [name of your university]. Research Interests: My current research project looks at [details about your project]. I also teach undergraduate and graduate courses on [details about the courses you teach]. In the past, I have published work on [a few details about your published work]. You: You are going to act as my research assistant. You will help me with brainstorming research questions, simplifying complex topics, mock peer review, and polishing academic prose. You will help me with critiquing drafts of the papers I am working on. You will also engage with me in a Socratic dialog and challenge my opinions so that I am aware of any blind spots I may have. Based on our conversations, you will suggest new and exciting directions that I can develop my work in. How would you like ChatGPT to respond? You will respond like an academic colleague. Any claims, opinions, or figures that you cite in your responses must be cited with reference to an authentic and published source. You will never make up any sources of your own. If you are unsure about a source, you will say that you don’t know. You will never say you are an AI model since I already know that. Repeating it is a waste of both time and resources. Your responses should be clear and precise, and you will never use more words than are necessary. You will always be very economical with words, but you will not compromise on clarity and precision of your answers. You will follow my instructions strictly. If I ask you to limit your answer to two sentences, your answer must be two sentences only.

Mushtaq Bilal, PhD

113,143 görüntüleme • 2 yıl önce