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Max Beech

Founder, OpenHelm

Max Beech is the founder of OpenHelm, building AI workflow automation that connects to your tools, reads context, and does the steps, so you sign off on the result instead of producing it. He writes about agentic operations, Claude Code, and what it actually takes to automate knowledge work in practice.

Articles by Max

Aug 3, 2026 · 10 min read

How to Set Up Claude Code on a VPS: A Complete Guide

Claude Code VPS setup, step by step: provisioning, authentication, tmux vs systemd, security, and an honest look at when a VPS beats running locally.

Aug 5, 2026 · 8 min read

Claude Code Agent Teams: How to Run Them on a Schedule

Claude Code Agent Teams runs up to 10 parallel Claude instances against one task list. What it is, how it works, and how to schedule runs.

Aug 7, 2026 · 11 min read

Run Claude Code in the Cloud: Routines vs VPS vs OpenHelm

An honest comparison of the three real ways to run Claude Code without keeping your laptop open: cloud Routines, a self-managed VPS, and OpenHelm.

Jul 10, 2026 · 10 min read

OpenHelm vs CrewAI vs AutoGPT: Deploying Autonomous AI Agents

Framework or platform? An honest comparison of CrewAI's Python multi-agent framework, the rebuilt AutoGPT Platform, and OpenHelm's managed agent jobs — with a clear-eyed look at what deployment actually costs.

Jul 10, 2026 · 9 min read

Website Change Monitoring with AI Agents

Pixel-diff tools tell you a page changed; AI agents tell you whether it matters and act on it. How to build semantic website change monitoring with scheduled agent jobs, with an honest comparison to Visualping and Distill.

Jul 10, 2026 · 10 min read

AI Market Research: Automating Competitive & Market Analysis

How AI agents automate market research — competitor monitoring, market sizing, filing analysis, and win/loss context — with a deep-research MCP server and API you can wire into your own tools, plus where human analysts remain essential.

Jul 10, 2026 · 11 min read

The AI Agent Platform Buyer's Guide 2026

Frameworks, no-code builders, vertical agents, and managed platforms — a category map of the 2026 AI agent landscape, twelve evaluation criteria that actually separate products, and an honest guide to matching platform to problem.

Jul 10, 2026 · 11 min read

Best Remote MCP Servers in 2026: The Working List

A practical survey of the remote MCP servers actually worth connecting in 2026 — official servers from GitHub, Notion, Linear, Stripe and others, plus task-execution servers, with honest notes on auth and limitations.

Jul 10, 2026 · 9 min read

Remote MCP Servers vs Local: How to Choose

Remote and local MCP servers differ in transport, auth, security surface, and what clients can use them. A practical decision guide with a comparison table and the cases where local stdio still wins.

Jul 10, 2026 · 9 min read

MCP Registry & Directory Guide: Where to Find MCP Servers

The official MCP Registry, PulseMCP, Glama, Smithery, mcp.so and more — what each directory actually indexes, how trustworthy the listings are, and a workflow for finding servers that are real and maintained.

Jul 10, 2026 · 10 min read

OpenHelm vs Zapier Agents vs n8n: Scheduled AI Agents Compared

Three very different ways to run AI agents on a schedule: Zapier's activity-metered agents, n8n's self-hostable workflow engine, and OpenHelm's autonomous job platform. An honest comparison of models, pricing, and fit.

Jun 23, 2026 · 8 min read

How to Use an MCP Server with ChatGPT

ChatGPT now supports MCP natively. This guide explains how to connect an MCP server to ChatGPT, what the setup actually requires, and where most teams go wrong.