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The article describes an experiment with Perdure, a tool that records AI agent decisions as markdown files for seamless integration and handoff between agents, featuring validation and linting.
An empirical study analyzes 8,351 Claude Code plugins, finding that Markdown files often control runtime behavior, leading to misclassified documentation changes and tight coupling between scripts and instructions, which necessitates automated synchronization checks.
A developer has built a free, open-source platform for sharing and discovering .md files, skills, and instructions for AI agents, aimed at solving organization issues and fostering community collaboration.
The author describes building a growth operator system using an Obsidian vault with markdown files to manage niches, creators, partners, content, and decisions, integrating with AI agents like Grokbot.
The author introduces VITA, a cognitive engine where orchestration is declared in plain-text Markdown files instead of code, enabling dynamic tool loading, no framework lock-in, and provider-agnostic execution.
The author argues that an AI agent is best understood as a folder of markdown files containing business knowledge and instructions, separate from the model and harness, enabling portability between rapidly improving harnesses.
Lovable introduces Skills, a feature enabling users to create reusable markdown-based instructions and context for AI agents, allowing task-specific playbooks to be applied without repeating instructions.