No-Code

Setting up AI agents in most platforms still looks a lot like configuring infrastructure: YAML files, JSON configs, deployment scripts, role definitions in nested attribute hierarchies. It’s powerful, but it’s a specialist skill that most team members don’t have — and it creates a bottleneck every time someone needs to add, modify, or remove an agent. OpenClaw.Direct wants to eliminate that bottleneck entirely. The company launched a Model Context Protocol (MCP) server that lets teams hire, train, and fire AI employees through natural conversation in Claude Desktop and ChatGPT. ...

Gumloop just landed $50 million in Series B funding led by Benchmark, and the bet is straightforward: most people who could benefit from AI agents can’t write code to build them. Gumloop wants to fix that. The round positions Gumloop alongside the growing class of no-code AI agent platforms targeting enterprise teams, but the customer traction sets it apart. Shopify, Ramp, and Gusto are already running on Gumloop — these aren’t pilot customers, they’re companies with serious automation requirements. ...

Getting OpenClaw running has always required a server — a Linux box, a VPS, a Raspberry Pi, something you configure, maintain, and keep online. MiniMax just changed that. MaxClaw, launched yesterday at maxclaw.ai, offers one-click cloud deployment of a fully functional OpenClaw instance in under 10 seconds. No server. No Docker. No config files. MiniMax is a Chinese AI unicorn that’s been building foundation models and infrastructure quietly while Anthropic and OpenAI dominate Western headlines. Their M2.5 model — a 229-billion parameter mixture-of-experts architecture — powers MaxClaw under the hood. But the product is OpenClaw-compatible: your agents, your skills, your integrations, running in their cloud. ...