by Pthahnix · MCP Server · ★ 143
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🧠 DARE — De-Anthropocentric Research Engine Human-centered AI-assisted research can no longer sustain the next great leaps of our civilization. What we need is not just more tools, but an AI researcher that thinks and acts independently — a new entity to replace the human role in science. This is DARE. 🚧 Personal side project. Actively under development. DARE is not a tool that helps you do research. It is the researcher. You set the direction — DARE searches, reads, discovers gaps, generates ideas, designs experiments, and executes them on GPUs. Autonomously. Iteratively. Without asking for permission.
| Stars | 143 |
| Forks | 11 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 46.72/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-28 |
| Created | 2026-02-10 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~66k |
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De-Anthropocentric-Research-Engine is De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap analysis, idea generation, experiment design & execution. Combines iterative deep research. It is categorized as a MCP Server with 143 GitHub stars.
De-Anthropocentric-Research-Engine is primarily written in TypeScript. It covers topics such as academic-research, ai-agent, ai-scientist.
You can find installation instructions and usage details in the De-Anthropocentric-Research-Engine GitHub repository at github.com/Pthahnix/De-Anthropocentric-Research-Engine. The project has 143 stars and 11 forks, indicating an active community.
De-Anthropocentric-Research-Engine is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to De-Anthropocentric-Research-Engine on Agent Skills Hub include ResearchClawBench, AutoResearch-SibylSystem, sibyl-research-system. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.