BNB Chain has released Agent Studio v4, updating its AI agent builder with a simpler deployment path, automatic wallet setup and broader stablecoin payment support.

In its announcement, BNB Chain said developers can now deploy through NodeOps without setting up cloud infrastructure themselves. The company also said the updated flow reduces manual steps between creating an agent and getting it running.

The release adds support for USDT, USDC, USD1 and $U as payment options for agents, expanding the stablecoin set available inside the studio. BNB Chain said the change is meant to let developers use the assets they already hold without an extra conversion step.

Agent Studio v4 also automates parts of wallet setup that previously required more manual work. According to the company, TWAK wallet creation now runs in the background, new wallets are funded automatically with test BNB and a test stablecoin, and local wallets receive generated passwords instead of requiring manual setup.

BNB Chain framed the update as part of a broader effort to reduce the friction between prompting an agent and having it live. The company described NodeOps as one of three deployment paths now available in the studio, alongside options for developers using their own cloud accounts.

For teams building on BNB Chain, the main change is practical rather than theoretical: fewer setup steps, more deployment options and a wider choice of stablecoins for agent transactions.

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NEAR AI said its Cloud API is now OpenAI-compatible, allowing developers to point existing clients at a new base URL while keeping the rest of their code unchanged. The company also said requests are proxied through NEAR AI, so the model provider sees NEAR AI as the source rather than the end user or the workload owner.

The launch was outlined in NEAR AI’s announcement post, which describes the API as private-chat focused and says the privacy level depends on the model selected. According to the post, third-party models are proxied through NEAR AI, while models marked TEE are designed to keep prompts and outputs unreadable to anyone else, including NEAR.

Compatibility is the main change; privacy depends on the route

For developers, the practical change is that an OpenAI-style integration can be redirected to NEAR AI without rewriting the application logic. NEAR AI said the same API surface can be used while the underlying model choice determines how the request is handled and how much of the data remains visible outside the secure environment.

The company’s description suggests two layers of privacy handling. In the proxy setup, the lab receives the request from NEAR AI rather than from the original user. In the TEE path, NEAR AI said the prompt and output remain unreadable to anyone else, including NEAR itself.

The announcement does not change the basic fact that this is still a cloud API service, but it does position the product as a compatibility layer for teams that want to move existing OpenAI-based workflows without changing the client code structure.

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Aptos Labs said research on a quantum-resistant Byzantine fault tolerant, or BFT, consensus design has been accepted to IEEE S&P ’27. In the company’s announcement on X, Aptos Labs said the paper shows BFT consensus can be made quantum-resistant without sacrificing performance.

Congratulations to Aptos Labs’ @XiangZhuolun and his co-authors: Simple-IT has been accepted to IEEE S&P ’27! 🎉

The paper shows that BFT consensus can be made quantum-resistant without trading away performance.

Learn more below. https://t.co/ihkyhwSVaV pic.twitter.com/bO917aTE6a

— Aptos Labs (@AptosLabs) September 15, 2026

The update centers on a research result rather than a network change. Aptos did not say in the announcement that the paper represents a live protocol upgrade, only that the work has been accepted for presentation at the 2027 edition of IEEE’s security and privacy conference.

An additional post from Aptos co-founder Avery Ching congratulated researcher Xiang Zhuolun and co-authors, saying the paper, Simple-IT, had been accepted to IEEE S&P ’27. That post echoed the same core claim: that the design can preserve performance while adding quantum resistance.

Research claim, not deployment status

Based on the company’s wording, the key point for readers is that Aptos is highlighting a research contribution in consensus design, not announcing that users or validators must change anything immediately. The announcement frames the work as evidence that post-quantum security can be explored without an obvious performance trade-off.

That distinction matters because acceptance at a conference signals academic recognition of the paper, while actual network behavior would depend on whether and when any of the ideas are implemented in production.

The company did not provide implementation timing, rollout details or network-wide activation plans in the announcement. For now, the development is best read as a technical milestone for Aptos Labs’ research team.

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