AI Agents & Web3 Agent Ecosystem

Gate News message, April 21 — Tencent Cloud announced the official open-sourcing of Cube Sandbox, an execution environment foundation designed for AI agents. The sandbox is the industry's first to combine hardware-level isolation with sub-100-millisecond startup times, according to the company. Cub

Abstract: Li Auto and Amap announce the debut of an automotive travel AI Agent, enabling nuanced natural-language understanding, multi-turn route adjustments, personalized navigation, and intelligent long-distance charging planning, as demonstrated in Amap's promotional video. Summary: Li Auto teams with Amap to launch an automotive travel AI Agent that deciphers complex travel intents, updates routes via dialogue, offers personalized navigation, and plans long-distance charging.

MetaComp debuts StableX Know Your Agent for regulated AI in payments, combining multi-vendor analytics to slash false clean rates, with AgentX Skills supporting Claude; aims for auditable cross-border finance via downloadable AI Skills. Abstract: MetaComp introduces the StableX Know Your Agent framework to govern AI agents in regulated payments and wealth management, covering identity, permissions, monitoring, auditing, and agent-to-agent interactions. It reduces false positives by parallel analytics from multiple vendors and enables auditable cross-border finance through downloadable AI Skills (AgentX), starting with Claude support and expansion across regions.

Tencent Computer Manager’s AI agent product QClaw, under the company’s team, announced on April 20 that its overseas version has officially started internal testing. The first batch covers the United States, Canada, Singapore, and South Korea, supporting multiple languages including Chinese, English, French, Spanish, and Korean. During the internal testing period, 40 million Tokens are given away each day, and the first batch of 20,000 slots for “Founding Claw” is also opened on a first-come, first-served basis.

Adobe has introduced CX Enterprise, an AI suite aimed at automating and personalizing digital marketing for enterprises. It integrates with major platforms and is adopted by leading advertising agencies to enhance customer interactions and improve marketing performance.

Dark Matter Labs has released the Kimi K2.6 model, boasting enhanced long-context coding and improved autonomous execution abilities. It is now available on multiple platforms for all users.

a16z crypto’s latest report says that AI agents are evolving from support tools into economic actors, yet there are still major gaps in core infrastructure such as identity, payments, and cross-platform collaboration. The report emphasizes that as AI becomes involved in governance and transactions, verification mechanisms become the key to trust, and blockchain technology can provide verifiable infrastructure to address these challenges. The future will require cryptographic mechanisms to ensure that AI agents truly represent users’ intent and to change traditional payment systems.

Moonshot AI has released Kimi K2.6, featuring chat and Agent modes on kimi.com. It excels in coding benchmarks, supports 4,000 tool invocations, and upgraded parallel functionality for autonomous scenarios.

Nexchain introduced Smart Actions, a suite of intelligent modules designed to transform blockchain networks from manual, reactive systems into autonomous and self-optimizing environments, according to an announcement on April 18, 2026. The product reflects the company's commitment to building

Adobe has expanded its Agentic AI ecosystem, launching the CX Enterprise Coworker and partnering with major tech firms to enhance AI-driven enterprise operations, including streamlined payment integration for smoother workflows.

Morgan Stanley predicts a 2030 surge in CPU demand from autonomous AI systems, potentially adding up to $60 billion to the CPU market. This shift will impact data center investments and memory requirements, benefiting major chipmakers.

At the 2026 Hong Kong Web3 Carnival, Lennix discussed the impact of AI Agents on trading and the need for a comprehensive onchain operating system. He emphasized the importance of integrating security and efficiency to facilitate autonomous decision-making and promote collaborative market interactions.

Cobo has launched the Cobo Agentic Wallet, enabling AI agents to conduct on-chain transactions under user-defined controls. Utilizing Multi-Party Computation for security and incorporating Pact and Recipes protocols, it supports various operational modes for diverse risk levels.

David Meyer of Databricks highlights the limitations of top AI models in routine enterprise tasks, contrasting their success in complex problems. Fundamental differences in data types impact performance, leading to a shift towards smaller, efficient models tailored for specific workflows to improve reliability and cost-effectiveness in AI applications.

At a recent Silicon Valley conference, several AI startup CEOs shared their views on the current issues with using AI agents, saying they face two major challenges: token waste and system confusion. Experts noted that companies need to judge more carefully when to use large language models, to avoid unnecessary waste of resources. In addition, the collaboration of multiple AI agents often leads to message-passing and state-consistency problems, indicating that standardization still needs improvement. Although Huang Renxun mentioned token compensation metrics, feedback shows that this does not equal productivity; the real value lies in effective task design.

According to reports, in Q1 2026 the total global venture capital funding is close to $300 billion, of which AI-related companies account for about $242 billion alone, or 80% of venture capital. This shows that AI has become the primary focus of venture capital. As funding concentrates on AI, other areas such as crypto have been squeezed; industry players need to adjust their strategies, integrate AI more deeply into their businesses, and expect a trend of infrastructure consolidation.

The 2026 Beijing Yizhuang Half Marathon featured humanoid robots racing 21.0975 km. The autonomous team Qitian Dasheng won in 50:26, while the remote-control team Jueying Chitu finished first in net time but ranked lower due to penalties.

Hong Kong police revealed a cryptocurrency fraud where a woman lost HK$7.7 million to scammers posing as investment experts via Telegram, promising high returns through AI trading. The police warned the public of the risks associated with cryptocurrency investments.

Ethereum co-founder Joseph Lubin emphasized the transformative potential of AI for the cryptocurrency sector while cautioning against the risks of centralization among tech giants. He envisions AI-driven autonomous transactions on blockchain and highlights the convergence of traditional finance with DeFi.

Luffa, a Web3 social ecosystem, partnered with a digital asset trading platform to integrate AI-driven trading features, enhancing secure communication and trading in a unified interface while maintaining decentralization and risk mitigation.