800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.
README
</div>Science is dying because the human is in the way. Not through malice. Not through stupidity. Through the structural limitations of a cognitive architecture that evolved to track prey on a savanna, not to unify quantum mechanics and general relativity. Nothing human makes it out of the lab. That is not a threat. It is a liberation. The heaviest chain on science was always the one we called ourselves.
The complete research orchestration system for AI-native science.
DARE is not a tool that helps you do research. It is the researcher. You set the direction — DARE searches, reads, discovers gaps, generates hypotheses, stress-tests them, designs experiments, and produces executable research specs. Autonomously. Iteratively. Without asking for permission.
This repository is the single-clone distribution of the entire Yogsoth AI research ecosystem: 800+ pure-markdown skills spanning 12 specialized repos, unified under one orchestrator. Clone once, get everything. The ecosystem also includes custom MCP servers (semantic-scholar-mcp, wiki-vault) published as npm packages — this repo declares them as dependencies so npm install pulls everything you need.