As MCP crosses 97 million monthly SDK downloads and AI agents move into production workflows, authentication has become the most critical infrastructure decision teams face. This guide ranks the eight leading platforms — WorkOS, Stytch, Auth0 by Okta, Composio, Nango, Arcade, TrueFoundry, and Cloudflare — on spec compliance, enterprise identity depth, integration breadth, and real-world fit for 2026 deployments.
The post Best Authentication Platforms for AI Agents and MCP Servers in 2026 appeared first on MarkTechPost.
Most web applications still have no structured way for an AI agent to register. auth.md proposes a fix: a Markdown file apps publish at their domain that tells agents which registration flows are supported, which scopes to request, and how to get credentials tied to a real user — without a human filling out a form.
The post WorkOS Releases auth.md: An Open Agent Registration Protocol Built on OAuth Standards appeared first on MarkTechPost.
Stablecoins became the default settlement layer for AI agents as crypto payment rails can handle sub-dollar transactions more efficiently, says a report from Keyrock.
The post AI agents are starting to pay with crypto as Coinbase, Stripe and Visa want in, Keyrock report says appeared on BitcoinEthereumNews.com.
Artificial intelligence (AI) agents autonomously spending money online is still a tiny market, but some of the world’s largest tech, payments and crypto firms are already racing to build the infrastructure for it, Keyrock said in a new report. The crypto trading and investment firm estimated that AI agents settled over $73 million across roughly 176 million transactions on blockchain rails between May 2025 and April 2026. The volumes remain negligible compared to traditional finance (TradFi). Visa, for example, alone processes $14.5 trillion annually. But the significance lies less in the headline U.S. dollar value and more in how quickly the infrastructure stack is forming, the report argued. Global firms such as Coinbase (COIN), Stripe, Google (GOOG) and Visa (V) all rolled out competing systems for machine-to-machine payments. The broader
The post NVIDIA’s AI Agents Automate Signal Discovery in Quant Finance appeared on BitcoinEthereumNews.com.
Darius Baruo
May 22, 2026 00:59
NVIDIA’s NeMo Agent Toolkit enables AI-driven automation for financial signal discovery, reducing research cycles in quantitative trading.
NVIDIA has unveiled a new application of its NeMo Agent Toolkit, showcasing how multi-agent systems (MAS) can transform financial signal discovery in quantitative trading. By automating traditionally manual processes, the system reduces research cycles and enhances the efficiency of uncovering alpha-generating signals, a critical component of systematic trading strategies. According to the blog post authored by NVIDIA’s Peihan Huo, the system coordinates three specialized AI agents: the Signal Agent, Code Agent, and Evaluation Agent. Together, these agents operate in a continuous loop of hypothesis generation, backtesting, and refinement. This self-improving workflow leverages NVIDIA’s Nemotron
AI agents start every session from zero — no memory of meetings, notes, or decisions. GBrain, the open-source memory layer Y Combinator's Garry Tan built to power his own OpenClaw and Hermes deployments, fixes that with a markdown-first knowledge graph that wires itself through regex inference, not LLM calls. This step-by-step coding tutorial walks through installing GBrain v0.38.2.0, building a brain repo, running hybrid search, and connecting it to Claude Code via MCP — about 20 minutes, all terminal output captured live.
The post A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents appeared first on MarkTechPost.
Alibaba’s Qwen team has unveiled Qwen3.7-Max, a flagship model built for the agent era. Unlike conventional chatbot-focused LLMs, it is designed as a foundation for autonomous AI agents that can code, debug, use tools, manage workflows, and execute long-running enterprise tasks. Alibaba claims the model can operate autonomously for up to 35 hours without performance […]
The post Qwen3.7-Max: Alibaba’s New Agent-First LLM for Coding, Reasoning, and Long-Horizon AI Workflows appeared first on Analytics Vidhya.
