Robots2.txt – A robots.txt extension for AI agents and Age ratings
Clear directives for AI training when robots.txt says nothing about LLMs.
A proposed web standard for AI agent interaction declarations — the agents.txt spec
Like robots.txt but for AI agents—clever idea, though it's only a draft spec with zero adoption.
Web developers, AI agent creators, standards bodies
Clear directives for AI training when robots.txt says nothing about LLMs.
Transparent AI bot posture tracking, but 'what bots touch you' is already solved by uBlock Origin.
Schema-to-server codegen for MCP, but targets the crowded AI app layer.
Critiques MCP's limitations credibly, but draft spec with zero implementations yet.
Defines agents as YAML specs and provides a simple CLI + Python API so you can iterate on agent behavior without committing to a heavyweight framework. It supports many model providers (OpenAI, Anthropic, Google, Mistral, Bedrock, etc.) and includes Colab examples and a quickstart, which makes experimenting frictionless — but it deliberately avoids workflow/orchestration features, so it’s clearly aimed at prototyping rather than production-grade agent pipelines.
Robots.txt for purchasing agents cuts token usage by 6x compared to scraping.