yogsoth-ai/de-anthropocentric-research-engine

yogsoth-ai★ 381HTML最后同步: 2026-08-15

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900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

README 摘要

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. De-Anthropocentric Research Engine (DARE) The complete research orchestration system for AI-native science. - What It Does - Design Philosophy - Architecture (v3.2.2) - Quick Start - Configuration - Roadmap - License 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: 900+ pure-markdown skills organized as 10 freely-composable research packages , unified under one orchestrator. The packages are fully self-contained — every skill declares its dependencies inlin…

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Agent/智能体academic-researchagent-native-research-artifactai-scientistauto-researchautonomous-researchautoresearchclaude-codecodex

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