agent

Morpho has launched the Morpho Agents Beta version. Morpho Agents provide agents with a machine-readable knowledge layer of protocols, native tools, and simulation infrastructure, enabling them to read, simulate, and write to the Morpho protocol.The main products include User Agent (Morpho CLI and MCP server, providing over 30 AI Agents with full read, simulate, and write access to the Morpho protocol on Ethereum and Base, compatible with wallet infrastructures like Coinbase, Safe, Fireblocks); Builder Agent (protocol knowledge base that helps coding Agents quickly understand protocol models, contract addresses, edge cases, and code examples for efficient integration).

According to Cointelegraph, Visa has launched the "Intelligent Commerce Connect" service, which supports AI agents to complete purchase payments on behalf of consumers in commercial scenarios worldwide.

Claude announced the launch of Managed Agents, a feature that helps developers quickly build and deploy large-scale AI agents on the Claude platform, now entering the public testing phase. By combining performance-optimized AI agent runtimes with infrastructure suitable for production environments, AI agents can go from prototype to launch in just a few days, increasing the speed of building and deploying agents by 10 times.It provides managed infrastructure that automatically handles complex tasks such as sandboxing, error recovery, memory, and checkpoints, allowing users to simply define tasks, tools, and guardrails.

The AI Agent trading platform Mentis recently detected abnormal fluctuations in information flow and market sentiment signals related to the United States, Israel, and Iran. Subsequently, the situation in the Middle East quickly entered a ceasefire negotiation phase, with multiple geopolitical developments being released, attracting market attention.The platform's trading interface shows that in the early stages of the event's escalation, the Mentis AI Signal had already indicated continuous buying and trend confirmation signals, with the multi-model consensus system (MTS-GPT, MTS-DS, MTS-Q Flash) simultaneously identifying a strengthening market structure. Following this, the BTC price rapidly rose and broke through a key range, validating the market trend with the direction of the AI signals.Trading records indicate that the AI Agent completed automated trade execution and position management after the signal formation, with account profits increasing in tandem with the market rise, demonstrating the forward-looking judgment capability of event-driven signals in the early stages.Mentis stated that its AI Agent continuously tracks cross-market information sources, sentiment changes, and event data, constructing a trading closed loop from information discovery → signal analysis → decision support → automated execution, to enhance response efficiency in sudden macro and geopolitical events.

The decentralized exchange aggregator Jupiter announced the launch of the Token Verification API (VRFD), allowing Launchpads, DEXs, and AI agents to directly integrate verification functions into the token creation process, achieving programmatic verification.The API uses a three-step process: developers create and sign a transaction to burn 1,000 JUP on Solana, then submit the verification request along with the token metadata update. This transaction does not require Gas fees, and developers do not need to hold SOL to pay transaction fees; they only need to hold at least 1,000 JUP in their wallet to submit. Jupiter is positioning VRFD as the standard infrastructure for all projects on Solana.

According to Decrypt, blockchain infrastructure company Biconomy has proposed a new Ethereum standard ERC-8211, introducing a "smart batching" mechanism that allows AI agents to complete multi-step DeFi operations in a single transaction, with each step dynamically referencing the output of the previous step at execution, addressing the issue of unpredictable output amounts due to price fluctuations or changes in transaction fees.This standard operates on top of the existing Ethereum infrastructure without the need to modify the core protocol or perform a hard fork, allowing developers to implement complex transaction processes directly in TypeScript. Barnabé Monnot, a research scientist at the Ethereum Foundation, stated that ERC-8211 aligns with the foundation's strategic priority of "improving user experience."

According to official news, the Solana Foundation announced the launch of Solana Agent Skills, providing pre-built functional modules that can be integrated into AI tools, allowing users to interact with the Solana blockchain through simple calls.The official skills cover error handling, security checks, confidential transfers, and version compatibility, among other content. In addition, over 60 community skills have been launched, covering areas such as DeFi, payments, and infrastructure, with participants including Jupiter Exchange, Raydium, Helius, dflow, and Metaplex.

Tencent Cloud officially released the "Lobster" memory service ------ TencentDB Agent Memory, adding a layer of long-term memory capability to OpenClaw. Currently, Agent Memory is seamlessly integrated into Tencent Cloud Lighthouse, ClawPro, and other products in the form of a plugin, supporting free one-click activation.

According to the official announcement, Binance has launched 13 new AI Agent skills, and the AI Agent can now access the full range of Binance products: from advanced derivatives trading and algorithm execution to fiat, payments, yield generation, and tokenized securities.Through a unified interface, the AI Agent can now fully execute end-to-end workflows ------ from research and discovery to trading, settlement, and portfolio management, without the need to switch any tools.

Bitget officially launched the GetClaw trading feature and is the first in the world to offer independent trading accounts for AI Agents, advancing the role of AI in trading scenarios from "assistive tools" to capable "autonomous traders."Currently, GetClaw supports users in initiating trading commands within the Telegram chat environment. Supported features include spot trading, USDT margin contract trading, limit orders, position closing, as well as various trading methods such as scheduled task triggers and immediate execution.At the same time, users can prepare trading funds for GetClaw sub-accounts through asset transfer functions and directly query orders, positions, and account information in the conversation, forming a closed-loop trading process from command initiation to execution feedback.In terms of application scenarios, GetClaw covers various real trading needs such as 24/7 market monitoring, technical signal-driven strategy execution, trend following, range oscillation and grid execution, news event response, on-chain signal capture, take profit and stop loss, and dynamic capital scheduling.In terms of security, Bitget adopts an independent sub-account mechanism, using the design principles of "independent isolation, permission convergence, and controllable risk" to limit the trading behavior of Agents to operate within independent account boundaries. While releasing the trading capabilities of the agents, it ensures they remain within clear, trustworthy, and manageable boundaries.

Donut AI announced the launch of D0, a proactive AI trading agent for the financial market, which is now available for use via Telegram and the web.It is reported that D0 features 24/7 market monitoring, signal capture, risk management, and trade execution capabilities. Users do not need to constantly monitor the market and can issue trading instructions in natural language. D0 interprets the intent, generates orders, and executes them on-chain after user confirmation. Future updates will support voice ordering. This agent will personalize its adaptation based on the user's trading history, risk preferences, and market behavior patterns, with each instance running independently.D0 is powered by the D0 CLI, integrating real-time data from 9 chains, technical indicators, and market sentiment analysis. It supports HyperLiquid perpetual contracts (229 assets, up to 50x leverage), Polymarket prediction markets, DeFi lending and liquidity management, macro indicators (such as VIX, DXY, funding rates, open interest), as well as whale address tracking and smart money dynamics. Traditional financial assets (such as oil, gold, indices) are planned to be integrated later in the form of synthetic assets.In terms of security, D0 uses a non-custodial MPC hardware security module for private key management, with the wallet backend isolated from the agent, ensuring no direct contact with user private keys.Donut Labs stated that it has previously received investments from HSG, Bitkraft, Hack VC, Sky9, Matrix Partners, Altos, and Makers Fund, and has gained support from ecosystems such as Solana, Jupiter, Drift, Sui, and Monad, with a waiting list exceeding 100,000 people.

Vergex and Z.ai jointly launched GLM-5 Trading Odyssey, open to developers and traders. Participants can build trading agents based on the GLM model, operating in real markets with real returns as the core evaluation standard.This event differs from traditional AI trading tools, as participants will directly enter real execution scenarios. Vergex, as the AI Trading Harness, provides strategy conversion, constraint validation, and risk control, addressing the challenges of AI trading black boxes and uncontrollable execution. Its open-source project NoFx has received over 11,000 stars on GitHub, providing the technical foundation for this event.It is reported that Z.ai was established in 2019 and is a leading foundational model company. GLM-5 ranks first in the Artificial Analysis Intelligence Index open-source model list, and the upcoming GLM-5.1 is expected to improve performance by about 50% compared to its predecessor. Both parties are promoting AI Trading from model capabilities to production-level systems.