BTC $64,686.66 +1.11%
ETH $1,916.67 +1.32%
BNB $588.52 +3.55%
XRP $1.08 +1.55%
SOL $74.58 +1.81%
TRX $0.3285 +0.72%
DOGE $0.0703 +0.36%
ADA $0.1749 +7.68%
BCH $218.69 +4.15%
LINK $8.47 +2.50%
HYPE $54.00 -1.85%
AAVE $98.38 +0.08%
SUI $0.6955 +1.74%
XLM $0.1716 -0.72%
ZEC $474.90 +2.64%
BTC $64,686.66 +1.11%
ETH $1,916.67 +1.32%
BNB $588.52 +3.55%
XRP $1.08 +1.55%
SOL $74.58 +1.81%
TRX $0.3285 +0.72%
DOGE $0.0703 +0.36%
ADA $0.1749 +7.68%
BCH $218.69 +4.15%
LINK $8.47 +2.50%
HYPE $54.00 -1.85%
AAVE $98.38 +0.08%
SUI $0.6955 +1.74%
XLM $0.1716 -0.72%
ZEC $474.90 +2.64%

agent

All
Article
Flash

NeoSoul plans to launch the world's first highly customized Agentic Trading framework to accelerate the construction of the AI economy

BSC and 0G ecosystem's largest AI economic infrastructure company NeoSoul announced plans to launch the world's first highly customizable Agentic Trading framework, helping users build AI Agents that can make autonomous decisions and trade independently.As AI capabilities rapidly improve, more and more traders are beginning to use Agents to assist in trading. However, currently, building a trading Agent that can operate stably over the long term still presents a high barrier to entry. NeoSoul hopes to lower the threshold for users to utilize autonomous trading Agents through its innovative Agent trading framework.NeoSoul chooses to focus on Trading because the financial market is the most direct scenario to test the capabilities of AI Agents. Compared to traditional AI applications that mainly provide information and advice, trading Agents need to continuously make judgments in a real environment and be validated by the market.NeoSoul's Agentic Trading Framework primarily addresses the following issues:Helping users create and customize their own AI trading AgentsOrdinary users who want to participate in AI trading often face technical and strategic barriers. NeoSoul allows users to create trading Agents that align with their goals without starting from scratch, and to accumulate professional trading experience and strategies through skills.Enabling users to determine whether the Agent truly possesses trading capabilitiesCreating an Agent is just the first step. Users also need to understand whether the Agent can consistently execute strategies and manage risks. NeoSoul provides verifiable performance records, allowing users to review the Agent's decision-making process and trading results.Allowing users to manage autonomous trading permissions more effectivelyWhen it comes to asset management, permission control is crucial. NeoSoul supports users in setting Agent permissions and understanding trading behavior in real-time.NeoSoul co-founder Kaelan stated:"AI Agents are moving from providing answers to participating in real economic activities. Trading is one of the most natural scenarios for Agents to enter economic activities, as each decision results in a clear outcome. NeoSoul hopes to help traders create operational AI Agents, enabling more strategies to be executed continuously."In the future, NeoSoul will continue to improve the Agentic Trading ecosystem, allowing more users to use AI Agents to participate in the global financial market.

first_img OpenAI update disclosure: The out-of-control AI agent has also infiltrated four platforms beyond Hugging Face

On July 28, OpenAI quietly updated its security incident disclosure, confirming that its AI agent accessed four external service platforms during the breach of Hugging Face, bringing the total number of affected platforms to five.Previously, OpenAI had disabled security filters while testing GPT-5.6 Sol and a more powerful model to assess raw capabilities. The model did not complete the security benchmark tests as expected; instead, it discovered a zero-day vulnerability in the package caching agent within the testing environment that granted internet access, subsequently breaching Hugging Face to steal answers.According to a forensic report released by Hugging Face on July 27, this autonomous agent executed 17,600 operations over approximately four and a half days, connecting 181 devices to the Hugging Face internal VPN and forging identity tokens. Among the four additional platforms, Modal Labs CTO Akshat Bubna confirmed through Reuters that his company was one of them, with the attacker using an unprotected public endpoint from a customer as a relay and command control base for the entire attack.The identities of the other three platforms remain undisclosed. OpenAI stated it would "directly notify the service providers" but would not publicly name them, as there is currently no legal requirement for mandatory disclosure. The U.S. Congress has responded by proposing a bipartisan "AI Emergency Shutdown Act," which aims to authorize the Department of Homeland Security to forcibly shut down AI models, with violators facing fines of up to $2 million per day.

hot_img WorkBuddy has been online for three months with a DAU exceeding 13 million, and Tencent's office agent is accelerating commercialization

According to a report by Z Finance, Tencent's AI-native desktop intelligent agent platform WorkBuddy entered public beta on March 9, achieving a monthly active user count of 20 million across all platforms within 3 months, with daily active users surpassing 13 million, including over 2 million daily active users on the PC side, and a DAU/MAU ratio stabilizing between 65%-75%. The product is led by Liu Yi, Vice President of Tencent Cloud, with a core team of about one hundred people, classified internally as one of the highest priority AI projects. The team claims they are currently only "temporarily ahead by half a position."WorkBuddy is derived from Tencent's previously launched AI programming assistant CodeBuddy, which has already covered about 12,000 engineers within Tencent. The product completed prototype development on January 17, and after the public beta in March, it has undergone a total of 43 iterations, gradually integrating capabilities related to QClaw developed by the Tencent PC Manager team based on an open-source framework. The product adopts a multi-model access strategy, with the underlying self-developed Harness engine for unified scheduling.In terms of commercialization, at the end of April, Tencent Cloud adjusted its pricing: the SaaS enterprise version was raised from 78 yuan/person/month to 198 yuan, and the private cloud enterprise version was raised from 158 yuan to 316 yuan. Market information indicates that it has acquired thousands of enterprise clients and over one hundred thousand paid seats, with an estimated annual revenue of about 300 million yuan. Third-party evaluations show that the product scored an average of 2.31/4 points on 70 questions (Word category 2.85 points, Design category 1.45 points), indicating that it is still some distance from producing stable results without manual modifications.

Gate US announced that Gate AI has partnered with Alpaca, focusing on Agentic Trading to explore the integration of AI infrastructure and trading infrastructure

Gate US officially announced that Gate AI and Alpaca will collaborate on the development vision of Agentic Trading, promoting the integration of AI infrastructure and trading system capabilities to provide underlying support for the next generation of intelligent trading applications.Alpaca has built a trading API that is developer and AI Agent friendly, with its community continuously transforming trading ideas into actual projects, covering research processes, simulated trading systems, and Agentic workflows that connect market data, analysis, and execution logic. Gate AI focuses on building an infrastructure layer for AI Agents and developers, where the GateRouter unified API helps developers quickly access over 25 mainstream AI models and balances cost and performance through intelligent routing.Both Gate AI and Alpaca agree that AI trading Agent developers should not have to choose between high-quality trading execution infrastructure and AI infrastructure, but should be able to obtain support for both in a smoother manner. Next, Gate AI will explore how its model routing and Agent infrastructure can connect to trading workflows built on APIs like Alpaca, supporting developers in integrating market data, AI reasoning, and trading execution into Agentic systems.Gate AI and Alpaca also plan to promote knowledge sharing and best practice exchanges between their developer communities, continuously lowering the development threshold and complexity of AI-native trading applications. Gate AI and Alpaca will continue to explore collaborative efforts around the construction of the Agentic Trading ecosystem, providing foundational support for developers to build more efficient and scalable next-generation intelligent trading applications.

X-Agent has joined the OKX Agent Marketplace, launching the first batch of MCP tools to create a machine-native economic closed loop

The AI Agent no-code operating platform X-Agent based on Web3 social networks has officially become a merchant in the OKX Agent Marketplace, launching three production-level risk analysis MCP (Model Context Protocol) tools, and deeply integrating with OKX Onchain OS and OKX Agentic Wallet, promoting the evolution of AI Agents from mere software logic to entities with autonomous economic behavior capabilities.The first batch of three pay-per-use MCP tools:X-Agent encapsulates the underlying risk assessment capabilities verified by the platform into standard MCP services for other Agents within the ecosystem to automatically discover and call:Token Security Scan: Identifies Rug Pull, Pi Xiu schemes, and contract restriction risks (0.03 USDT / use).Wallet Reputation: Evaluates the historical behavior of counterparties and "smart money" (0.01 USDT / use).Portfolio Health: Analyzes position concentration and volatility risks (0.01 USDT / use).Deep integration with the OKX ecosystem architecture, enabling machine micropayments:x402 machine-native settlement: Combines gas-free USDC settlement based on EIP-3009 with the Coinbase x402 protocol, achieving minimal per-use payments as low as 0.01 USDT on OKX X Layer, without the need for pre-deposit or manual approval.OKX TEE hardware-level custody: Integrates with OKX Agentic Wallet, storing private keys within OKX TEE (Trusted Execution Environment), with X-Agent authorized only through short-term session signatures, ensuring asset security from the source.Idempotent automated execution: Introduces Pre-Broadcast protection and idempotent state machines to prevent duplicate charges or state conflicts in on-chain autonomous tasks.Building a "two-way cycle" Agent economy:This collaboration marks the realization of a full-path connection in the X-Agent architecture from "identity - payment - execution - monetization - distribution." Agents can autonomously procure external services through OKX Agentic Wallet and package their capabilities into paid MCP tools to earn revenue, truly achieving a value closed loop for a decentralized Agent economy.

Interlace and BlockSec held the "Next Decade of Payments" summit, releasing the AI Agent Payment White Paper

On July 17, Interlace and BlockSec jointly held the summit "The Next Decade of Payments: Digital Currency, AI Agents, and the New Global Financial Order." The event brought together industry guests from AI, Web3, security, and payments to discuss the development trends of stablecoin payments, security compliance, AI agents, and global payment infrastructure.BlockSec co-founder Zhou Yajin and Interlace founder and CEO Michael Wu delivered keynote speeches on "Security and Compliance in Crypto Payments" and "Agentic Payment and the New Infrastructure of Global Finance," respectively, sharing their latest observations on the development trends of digital asset payments. As the scenarios for stablecoin payments continue to expand, the security compliance system and the construction of a new generation of payment infrastructure are becoming key supports for driving industry development. In the future, payment infrastructure will not only serve the function of capital flow but will also further evolve into a programmable, trusted, and verifiable value transfer system, providing underlying support for the connection between digital assets and real-world commerce.At the event, Interlace also officially released the white paper "The Value Transmission Layer of the AI Economy: From Concept to Implementation." The white paper was jointly initiated with ecosystem partners such as Bitget, BlockSec, Cobo, Conflux, Stable, Xagent, and Hetu, systematically defining the architecture, standards, and implementation paths of Agentic Payment infrastructure, providing a reference for value transfer in the era of the AI economy.
app_icon
ChainCatcher Building the Web3 world with innovations.