Odaily News: AI Agent onchain operating system (AI Agent Onchain OS) X-Agent has released its latest whitepaper, systematically introducing its product architecture, MCP ecosystem, business model, and the use cases of $XAGT.The whitepaper points out that the next phase of the AI industry is not just about generating text, images, or code, but about enabling Agents to understand user intent, invoke tools, execute tasks, and complete transactions. Centered around the philosophy of "Speak to Build, Share to Connect," X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connectivity capabilities through natural language, without writing any code.In terms of business model, X-Agent aims to connect the full chain of Agent creation, MCP capability integration, distribution, payment, and monetization. Developers can package APIs, data, and professional services into MCP capabilities and earn revenue through pay-per-call, subscriptions, or transaction commissions.$XAGT is planned to be used for computing costs of secure runtime environments, LLM and API calls, Agent transaction settlement, MCP service payments, Premium Agent template purchases, and developer deployment. In the future, it will also expand to service staking, multi-Agent settlement, and ecosystem governance scenarios.According to the project team, X-Agent currently has over 1 million registered users, has completed over 1.1 million autonomous tasks cumulatively, and has consumed over 84 billion LLM Tokens. In the future, the project will also advance Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems.

Odaily News: Aave has launched an official MCP server, allowing AI agents to access real-time protocol data and prepare transactions on Aave V3 and V4. The server is compatible with ChatGPT, Claude, and other MCP-compatible tools, while users retain control over transaction signing.

Odaily News – While "Vibe Coding" has enabled more people to generate applications using natural language, the next competitive frontier for AI Agents is shifting toward a harder challenge: how to truly accomplish a real-world task that spans multiple platforms and services, involving budgets and authorizations.In X-Agent's latest Medium article, "Beyond Vibe Coding, Toward Agentic Execution," the team uses "booking a trip to Tokyo" as an example to outline its exploration of Agentic Execution. Users would no longer need to switch back and forth between flight, hotel, and payment pages; instead, they would initiate the task with a single request, and the AI would coordinate search, comparison, confirmation, and subsequent execution. Throughout the process, the user retains control over destination, budget, terms, and final authorization.However, the gap between "recommending options" and "delivering reliable execution" still involves a whole set of infrastructure challenges. Price fluctuations, login verifications, order timeouts, and partially successful bookings all require the Agent to preserve task state, distinguish between confirmed and unconfirmed results, and pause to re-request user authorization when needed—rather than blindly retrying or spending automatically.To address this direction, X-Agent proposes decoupling and coordinating four types of capabilities—conversation, task, execution, and events—while exploring different execution pathways such as WebMCP, APIs, MCP tools, browser automation, and Computer Use. The core principle is: tools can help Agents act, but they must not bypass user permissions, budget limits, or result verification.X-Agent notes that the article currently describes a product direction still under exploration and validation, rather than a general-purpose booking capability that has already been launched. The goal is to advance AI from "understanding and generating" toward "completing tasks under user control," gradually making natural language a new gateway connecting real-world services with digital execution.

Odaily News – According to official sources, the OKX AI Builder co-building program has been officially launched and is now open for applications. Developers can integrate OKX market data, trading, and account capabilities via MCP, CLI, or API to embed trading functionality into their own AI products. Once users complete trades through a Builder project, the Builder shares fee revenue with OKX, with rebate rates reaching up to 50%. Trades from both new and existing users count toward rebate eligibility.

Odaily News: The suite covers over 60 EVM-compatible chains and provides AI agents with structured, verified, real-time on-chain data access through three methods: MCP, CLI, and Skills. Etherscan MCP supports programming agents like Claude and Codex in querying on-chain information via natural language; the CLI tool outputs results in JSON, table, or CSV format in the terminal and comes with an interactive interface; the Skills module includes built-in features such as Orchestrator, contract auditing, transaction debugging, and workflow orchestration. Etherscan stated that developers can refer to the official documentation to use these tools and can submit feedback or share applications built on top of them.

Odaily News - Coinbase has disclosed the architecture and application of its internal AI system "CEEcil." This system is not a simple chatbot but is designed as an AI agent that functions like a "team member." It can be mentioned in Slack, and possesses long-term memory, proactive follow-up, and judgment capabilities.CEEcil retains team context through a three-tier memory mechanism: in the background, it continuously extracts information such as decisions, blocked items, and owners from authorized channels; each night, it consolidates short-term observations into long-term summaries; and when answering questions, it retrieves historical memories, recent conversations, and real-time data on demand. The system also adopts a tiered model architecture, where simple queries are prioritized for processing via APIs or knowledge bases, and only complex, multi-step tasks are delegated to more powerful AI models, thereby reducing cost and latency.In practical applications, CEEcil can proactively join relevant Slack discussions, send emoji reactions, and automatically follow up when issues go unaddressed. Coinbase states that the system also once refused to submit operational documents containing customer identity information to Git, suggesting the use of redacted versions or compliant storage methods instead—demonstrating a certain level of security judgment.Architecturally, CEEcil consists of a Go service and an AI agent runtime, and connects to tools such as memory retrieval, knowledge bases, real-time queries, and Slack via MCP. Coinbase also has set up a real-time "kill switch," call limits and spending caps, audit mechanisms, and requires human review and merging of the code it generates.Coinbase says CEEcil is now able to help teams handle production incidents and answer expert knowledge that previously would have required waiting hours to obtain. In the future, the company hopes to expand this model into multiple AI agents tailored to specific teams, enabling AI not only to "answer questions" but also to continuously remember, proactively participate, and complete actual work.

Odaily News, Coinbase stated on the X platform that the financial layer emerging around AI agents is called agentic finance, namely AiFi, covering agent transactions and agent commerce. AI agents can research information, make decisions, and execute actions on behalf of individuals and businesses, while also needing to perform fundamental financial activities such as making payments, receiving funds, storing value, and transferring money. Coinbase stated that it is building tools for AI agents to enable them to continuously execute financial operations within preset goals, permissions, limits, and security boundaries.Coinbase stated that Coinbase Advisor, Coinbase for Agents, x402, and Coinbase Business have formed the AiFi infrastructure. Coinbase Advisor is an SEC-registered investment advisor integrated into the app for Coinbase One users, providing portfolio analysis and guidance through a chat interface. Coinbase for Agents connects tools such as Claude, ChatGPT, and Cursor to Coinbase accounts via MCP, allowing users to set operating conditions and security boundaries for agents, as well as create separate sandbox accounts for agent use.Coinbase stated that x402 is an open payment standard initiated by Coinbase and now managed by an independent foundation, supporting AI agents in paying fees to other agents, applications, and services. To date, x402 has processed over 205 million transactions with a volume of $53 million, covering 200,000 sellers, with Coinbase facilitating 67% of this activity. Individual payments can be used for API calls, datasets, research materials, or computing resources.Coinbase stated that Coinbase Business supports enterprises in natively receiving USDC payments from AI agents, while Coinbiz helps merchants sell services and content to software without relying on card credentials, manual invoicing, or payment processes designed around human customers. Eligible businesses can earn a floating 3.35% reward on idle USDC balances. USDC currently accounts for 99% of on-chain agent commerce transactions, x402 accounts for 97% of agent finance protocol usage, and the related activities run on Base.

1. SEC proposes two-tier fundraising exemption for crypto projects, with nearly half of projects meeting the $5 million cap;2. "Set 10 big goals first" ETH short positions fully closed, BTC shorts reduced to approximately $51 million;3. Liquid Capital founder: The crypto downtrend cycle has ended, ushering in a new upward cycle;4. Musk and Buffett's historic reconciliation? Berkshire Hathaway indirectly holds 0.04% of SpaceX stock through Google parent Alphabet;5. Crypto stocks broadly rise in pre-market trading, Strategy up over 9.33%;6. Two whales sell 5,250 ETH and 550 BTC, with combined profits of $6.26 million;7. From a $120 million floating loss to breaking even: Hyperliquid's largest bull holds $487 million in BTC and ETH long positions for nearly 4 months;8. An address nails the "bull run," with returns exceeding 83x and cumulative profits surpassing $700,000;9. Binance launches Agent OS developer platform and MCP server;10. Yi Lihua: The greatest value of crypto is on-chain financial freedom, adhering to a "half crypto, half AI" approach.

Odaily News: According to the official announcement, Binance has launched the Binance Agent OS developer platform, integrating APIs, wallets, payments, and skill modules, and introducing an MCP server to support AI agents connecting to trading, market data, and more. Initially compatible with tools such as Claude and ChatGPT, users need to authorize through Agentic sub-accounts; withdrawals are not supported.

Odaily报道：币安宣布推出Agent OS。币安Agent OS是一个用于将AI Agent连接至币安的开发者平台，整合了币安MCP服务器、交易所API及现成的Agent技能。连接一次后，Agent即可读取加密货币和传统金融市场数据、跟踪仓位、发起交易，并与链上服务交互。