ModelsSeptember 18, 2026

Ripple expands XRPL developer kit to enable autonomous payments for AI agents

Ripple has updated its XRP Ledger developer kit to integrate Stripe and Tempo’s Machine Payments Protocol. This enhancement allows AI agents to independently manage and execute payments for essential resources such as data and computing power. By bridging blockchain with agentic workflows, the update facilitates a more seamless financial layer for autonomous systems.

Why it matters

For enterprise teams, this provides a practical framework for building agents that can handle their own operational costs without human intervention. It streamlines the deployment of production-ready autonomous systems by solving the challenge of programmatic value exchange.

Key points

XRPL developer kit now supports Stripe and Tempo’s Machine Payments Protocol
AI agents can autonomously pay for computing, storage, and proprietary data
The integration reduces friction in machine-to-machine financial transactions

More AI news

Models

US allows domestic AI developers to share advance models with UK for safety testing

The United States has enabled domestic artificial intelligence developers to grant the United Kingdom government early access to proprietary models for security evaluations. This arrangement facilitates formal safety assessments prior to commercial deployment without triggering regulatory friction between both nations.

Tooling

Shanghai AI Lab unveils RSI-Anything framework to boost code repair and planning

Researchers from Shanghai AI Lab, CUHK, NTU, and Oxford have introduced RSI-Anything, a framework built upon JEPA-Anything. The system uses predictive world models to simulate environments and enhance autonomous agent decision-making. The approach lifts code-repair agent accuracy to 31.2 percent and lab planning success to 46 percent.

Tooling

Securing autonomous AI agents as integration shifts from answering to acting

As artificial intelligence transitions from conversational answering to autonomous action via protocols like the Model Context Protocol, systems increasingly execute operational tasks across external tools. This shift introduces distinct security risks for autonomous agents interacting with corporate software environments. Engineering teams must now navigate newly emerging attack surfaces as models gain permission to manipulate systems directly.

Ready to build something
extraordinary?

15 minutes. No pitch deck. Just a conversation about what AI can do for your team.

Talk directly with our AI specialists

15 min, no strings

No sales pressure

Prototype in 7 days