Azure MCP Server 2.0 Brings Self-Hosted Agentic Automation to the Enterprise
Microsoft releases Azure MCP Server 2.0 with self-hosted remote support, enterprise security hardening, and sovereign cloud readiness for agentic AI workflows.
Articles by Tom Smith
Microsoft Brings SQL to the Agentic Era With SQL MCP Server
Microsoft’s SQL MCP Server provides AI agents with secure, deterministic access to enterprise SQL data — without exposing the schema or relying on unpredictable NL2SQL queries.
Anthropic Takes the Infrastructure Headache Out of AI Agent Development
Move from prototype to production in days. Anthropic’s new Managed Agents platform provides secure sandboxing, orchestration, and multi-agent coordination for enterprise-scale AI.
Microsoft Ships Agent Framework 1.0: A Production-Ready Foundation for Multi-Agent AI
Microsoft unifies AI development with the launch of Microsoft Agent Framework 1.0. This production-ready, open-source SDK succeeds Semantic Kernel and AutoGen, offering a consolidated platform for .NET and Python. Featuring multi-model support (OpenAI, Claude, Gemini), MCP interoperability, and a robust middleware pipeline, it provides a stable foundation for orchestrating complex, enterprise-grade multi-agent systems.
Cloudflare Says Containers Are Too Slow for AI Agent Sandboxing and Offers an Alternative That’s 100x Faster
Cloudflare launches Dynamic Workers in open beta, a 100x faster sandbox for AI-generated code. Discover why V8 isolates are replacing containers for disposable agent workloads, saving 80% on inference tokens via “Code Mode” and TypeScript-typed APIs.
Stripe’s Machine Payments Protocol Gives AI Agents a Way to Spend Money Without Human Help
Stripe and Tempo launch the Machine Payments Protocol, so AI agents can pay for services autonomously. An open standard for the agent economy.
Random Labs Says the Bottleneck in AI Agents Isn’t Intelligence — It’s Memory Management
Summary of Random Labs’ Slate—a thread-based episodic memory architecture that separates strategic orchestration from tactical threads to solve long-horizon task execution, working memory, and context management for AI coding agents.
IronCurtain Takes a Security-First Approach to AI Agents With Sandboxing and Plain-English Policy
IronCurtain sandboxes AI agents and compiles plain-English policy into enforceable rules. It’s a security-first alternative to OpenClaw’s approach.
OpenClaw Users are Using Scrapling to Bypass Cloudflare and Other Anti-Bot Systems
OpenClaw users are pairing the AI agent with Scrapling to bypass Cloudflare protections, highlighting a growing tension in AI agent data access policy.
KiloClaw Makes OpenClaw Production-Ready With Managed Hosting, 500+ AI Models, and a New Agent Benchmark
KiloClaw removes the operational friction of running OpenClaw in production with fully managed hosting, health monitoring, and model flexibility. As AI agents mature, infrastructure—not intelligence—is becoming the key differentiator.
