Conflux (CFX) TreeGraph 3.0 Upgrade Boosts TPS to 15,000, Ignites 40% Price Surge

Conflux's (CFX) TreeGraph blockchain announced version 3.0 at a Shanghai conference, scheduled for mainnet integration in August. The new version boasts 15,000 TPS, supports AI agent calls and on-chain payments for real-world assets, and has processed 170 million transactions with over 25 million users worldwide. CFX price has risen 40% in the last 24 hours, trading at $0.1454.

Conflux Network, a prominent blockchain platform, has unveiled its latest iteration, Conflux Network 3.0, also known as Tree Graph. This new version, slated for mainnet integration in August, promises significant enhancements in transaction throughput, reaching up to 15,000 transactions per second (TPS). The upgrade aims to support on-chain invocation of Artificial Intelligence (AI) Agents, facilitate cross-border payments, and enable batch settlement of Real World Assets (RWAs), effectively creating a "digital expressway" for Web3 technologies [1].

The launch of Conflux Network 3.0 is part of a broader strategy to promote the issuance of an offshore RMB stablecoin. This initiative is supported by strategic partnerships with AnchorX, Dongxin, and Ping An. These collaborations aim to explore various application scenarios, including cross-border settlements and RWAs, in countries participating in the "Belt and Road" initiative. Pilot projects are planned for regions such as Central Asia and Southeast Asia, with a focus on establishing a financial technology model that emphasizes "technology-compliance-security" [1].

The development of Conflux Network 3.0 aligns with the growing global interest in stablecoins and RWAs, which are seen as key components of the Web3 digital world. Unlike the second-generation Internet (Web2), Web3 technologies offer enhanced digital rights protection and trustworthiness. By building a self-controllable high-performance public chain system, Conflux aims to support China's development of a robust Web3 ecosystem within the framework of the "Belt and Road" initiative. This initiative is expected to further activate the infrastructure value of the Conflux ecosystem in cross-border trade, fostering greater financial integration and technological advancement in the participating regions [1].

The announcement comes amidst a surge in the price of CFX tokens, which have risen by 40% in the last 24 hours, trading at $0.1454. This increase can be attributed to the positive reception of the new mainnet features and the potential market opportunities they present [1].

In a separate development, Amazon Web Services (AWS) has introduced AgentCore, a managed platform designed to bridge the gap between AI agent prototypes and production-ready enterprise applications. The platform addresses infrastructure complexities that frequently stall enterprise AI initiatives, offering seven integrated services that handle runtime management, memory systems, and security controls [2].

AgentCore's introduction signals AWS's recognition of a critical market need. While organizations increasingly experiment with AI agents, many struggle to deploy them at scale due to infrastructure limitations, security concerns, and operational complexity. AgentCore positions AWS to capture enterprise spending as companies move beyond pilot projects toward production deployment [2].

AgentCore consists of seven core services that work independently or together. The runtime component provides serverless execution environments with complete session isolation and support for workloads lasting up to eight hours, addressing a fundamental challenge where traditional serverless platforms struggle with the unpredictable execution patterns of AI agents [2].

The memory service manages both short-term conversational context and long-term knowledge retention across sessions, enabling agents to improve performance over time. Security integration is handled through AgentCore Identity, which connects with existing enterprise identity providers, addressing compliance requirements that often delay AI agent deployments [2].

Despite its comprehensive feature set, AgentCore faces implementation hurdles common to enterprise AI deployments. The platform requires organizations to restructure workflows around agent-based automation, which can encounter resistance from teams accustomed to traditional software development practices. Technical skills gaps remain a significant barrier, with many organizations lacking the expertise to effectively deploy and manage AI agents at scale [2].

The platform’s consumption-based pricing model, while offering cost flexibility, can create budget uncertainty for organizations with variable AI workloads. Runtime costs depend on CPU utilization and memory consumption, making it difficult to predict expenses for complex agent deployments [2].

AgentCore represents AWS’s strategic response to enterprise AI maturation. As organizations move beyond generative AI experiments toward production automation, managed agent platforms become critical infrastructure. The platform’s emphasis on security, scalability, and observability addresses key enterprise requirements that have limited AI agent adoption [2].

References:
[1] https://www.ainvest.com/news/conflux-network-3-0-to-launch-in-august-boosting-transaction-throughput-by-15000-tps-25071010fcc714f0389ff66a/
[2] https://www.forbes.com/sites/janakirammsv/2025/07/18/aws-targets-enterprise-ai-agent-production-gap-with-agentcore-platform/