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- 🎉 The #CandyDrop Futures Challenge# is live — join now to share a 6 BTC prize pool!
📢 Post your futures trading experience on Gate Square with the event hashtag — $25 × 20 rewards are waiting!
🎁 $500 in futures trial vouchers up for grabs — 20 standout posts will win!
📅 Event Period: August 1, 2025, 15:00 – August 15, 2025, 19:00 (UTC+8)
👉 Event Link: https://www.gate.com/candy-drop/detail/BTC-98
Dare to trade. Dare to win. - 📢 Gate Square Exclusive: #WXTM Creative Contest# Is Now Live!
Celebrate CandyDrop Round 59 featuring MinoTari (WXTM) — compete for a 70,000 WXTM prize pool!
🎯 About MinoTari (WXTM)
Tari is a Rust-based blockchain protocol centered around digital assets.
It empowers creators to build new types of digital experiences and narratives.
With Tari, digitally scarce assets—like collectibles or in-game items—unlock new business opportunities for creators.
🎨 Event Period:
Aug 7, 2025, 09:00 – Aug 12, 2025, 16:00 (UTC)
📌 How to Participate:
Post original content on Gate Square related to WXTM or its - 🎉 Attention Alpha fans! Alpha’s latest TAG airdrop goes live today at 10 AM—first come, first served!
💰 Don’t forget to share your airdrop or points screenshot on Gate Square with the hashtag #ShowMyAlphaPoints# for a chance to win a share of the $200 token mystery box!
🥇 Top points winner: $100
✨ 5 outstanding posts: $20 each
📸 Pro tips:
Add a caption like “I earned ____ with Alpha. So worth it”
Share your points-earning tips or redemption experience for a better chance to win!
📅 Activity deadline: August 10, 18:00 UTC
Let’s go! See you tonight: https://www.gate.com/announcements/article - Hey fam—did you join yesterday’s [Show Your Alpha Points] event? Still not sure how to post your screenshot? No worries, here’s a super easy guide to help you win your share of the $200 mystery box prize!
📸 posting guide:
1️⃣ Open app and tap your [Avatar] on the homepage
2️⃣ Go to [Alpha Points] in the sidebar
3️⃣ You’ll see your latest points and airdrop status on this page!
👇 Step-by-step images attached—save it for later so you can post anytime!
🎁 Post your screenshot now with #ShowMyAlphaPoints# for a chance to win a share of $200 in prizes!
⚡ Airdrop reminder: Gate Alpha ES airdrop is - Gate Futures Trading Incentive Program is Live! Zero Barries to Share 50,000 ERA
Start trading and earn rewards — the more you trade, the more you earn!
New users enjoy a 20% bonus!
Join now:https://www.gate.com/campaigns/1692?pid=X&ch=NGhnNGTf
Event details: https://www.gate.com/announcements/article/46429
AI Agent Exploring Web3 Applications: The Development and Challenges from Manus to MC
Exploration of AI Agent Applications in the Web3 Field: From Manus to MC
Recently, a globally pioneering universal AI Agent product called Manus has attracted widespread attention in the tech circle. Developed by a Chinese startup, the product experienced a hot scene on its launch day, with invitation codes being hard to come by. As a universal AI Agent, Manus demonstrates the ability to think independently, plan, and execute complex tasks, providing new ideas for AI Agent development.
An AI Agent is a computer program that can autonomously make decisions and execute tasks based on its environment, input, and predefined goals. Its core components include large language models, observation and perception mechanisms, reasoning and thinking processes, action execution, and memory retrieval functions. The design patterns of AI Agents mainly have two development paths: one emphasizes planning capabilities, while the other emphasizes reflective capabilities.
In the Web3 field, the application of AI Agents mainly focuses on three models: Launch Platform Model, DAO Model, and Business Company Model. Among them, the Launch Platform Model allows users to create, deploy, and monetize AI Agents, with Virtuals Protocol being a well-known example. The DAO Model is represented by ElizaOS, which aims to build a community for AI Agent developers. The Business Company Model is exemplified by Swarms, providing an enterprise-level Multi-Agent framework.
However, current AI Agent projects in the Web3 field generally face challenges in the sustainability of their economic models. Most projects lack intrinsic value support, making it difficult to form a positive economic cycle.
The emergence of Model Context Protocol (MCP) brings new exploration directions for AI Agents in Web3. It mainly includes two aspects: first, deploying the MCP Server to the blockchain network to achieve decentralization and censorship resistance; second, empowering the MCP Server with the ability to interact with the blockchain, lowering the technical threshold. In addition, there is the idea of building an OpenMCP.Network creator incentive network based on Ethereum.
Although the combination of MCP and Web3 can theoretically inject decentralized trust mechanisms and economic incentives into AI Agent applications, there are still many challenges with current technology. For example, the difficulty of verifying the authenticity of Agent behavior using zero-knowledge proof technology, and the efficiency issues of decentralized networks also need to be addressed.
The integration of AI and Web3 is an inevitable trend, but it still requires time and continuous exploration. In the future, we look forward to seeing more groundbreaking applications that promote the development of AI Agents in the Web3 field.