Insights

Analysis, benchmarks, and ideas shaping MCP

October 20, 2026

The most common questions about agent harnesses, explained. October 2026

Six months ago almost nobody said “agent harness” out loud. Now the term shows up in LangChain’s docs, Microsoft’s Agent Framework, OpenAI’s engineering blog, and a steady stream of Reddit …

October 19, 2026

Own your intelligence, own your tools

An agent has three parts you can control: the model, the harness that runs the model in a loop, and the context the model sees. Own all three and you …

October 13, 2026

The model is easy to swap. The agent layer isn’t

Here’s what 520 enterprise AI leaders told us about getting locked into frontier labs TL;DR. The technical leaders responsible for AI adoption say vendor lock-in worries them, and many have …

October 13, 2026

Why AI spend needs to be attributable, not just visible

The monthly cloud bill lands and the AI line item has tripled. Finance asks why. Security asks who. The platform team pulls up the usage dashboard they turned on three …

October 12, 2026

Why AI governance breaks down the moment no human is in the loop

An agent kicks off a scheduled run at two in the morning. It calls a tool, that tool triggers a code change, and by the time anyone is at a …

September 15, 2026

What Are the Leading Open Source AI Agent Harnesses? (2026)

Answer summary: The leading open source AI agent harnesses in 2026 include Stacklok Mecatl, OpenCode, and Pi, each taking a different approach to orchestrating agents, tools, and execution environments. Mecatl …