Protocols tell agents how to connect. Standards tell them what to know. As the agent ecosystem matures, a second layer of convergence is emerging: open formats that give agents consistent, structured context — about projects, capabilities, and design systems. Unlike protocols (which define communication between systems), these standards are file-based, human-readable, and version-controlled alongside your code. Here are the three standards shaping how agents are informed and extended in 2026.
1. AGENTS.md
agentsmd/agents.md | Agentic AI Foundation (Linux Foundation) | MIT
The universal context file for AI coding agents. Where a README explains a project to humans, AGENTS.md explains it to agents: build commands, test commands, code style conventions, testing frameworks, architectural decisions, and anything else an agent needs to work effectively in the codebase. Plain Markdown, no required schema, no tooling to install — any agent that reads it benefits immediately.
The problem it solves is fragmentation. Before AGENTS.md, every tool was reading different files, or nothing. Cursor read .cursorrules. Claude read CLAUDE.md. Most agents read whatever they found and hoped for the best. AGENTS.md gives a single, predictable location for agent-specific context without bloating the human README with instructions no human needs.
