Markdown Agent Studio — Documentation skill for Claude Code

Markdown Agent Studio (MAS)

[](https://www.npmjs.com/package/markdown-agent-studio) [](https://github.com/RobThePCGuy/markdown-agent-studio/actions/workflows/ci.yml) [](https://opensource.org/licenses/MIT) [](https://nodejs.org/)

**Stop writing boilerplate Python. Stop wiring together visual spaghetti graphs. Start building AI teams that actually learn from their mistakes.**

Markdown Agent Studio is a local-first, browser-based IDE for building self-improving AI agent systems. An agent is not a stateless API call - it is a living document that can work, remember, collaborate, and evolve.


The Problem

Every AI agent built on the same model starts with the same intelligence. The industry tries to differentiate them through prompt engineering (telling them what to be) and fine-tuning (showing them what others have done). Neither is actual learning. A prompted agent doesn't get better at writing stories by writing stories. It gets the same result every time, from the same static starting point.

Humans don't work this way. We learn by doing, failing, reflecting, and carrying that experience forward. AI agents have had no equivalent - until now.

What MAS Does

You give an agent a task. It runs, produces output, and reflects on what it did. On the next run, its memory from the previous session feeds back in. It sees what it tried, what fell flat, what worked. It spawns sub-agents to research or review. When context fills up, a summarizer compresses working memory into long-term knowledge - deduplicating what it already knows, preserving what's new.

Run after run, the agent's accumulated knowledge grows de