Documentation
Everything you need to install, configure, and run c4reqber. From first pip install to paradigm-shifting proposals.
Documentation Hub
Getting Started
Installation, first commands, and 3-minute quickstart. Get from zero to your first discovery.
API Keys
Register OpenRouter, NCBI, CORE, Tavily, and 20+ free science APIs. BYOK step-by-step.
GPU Setup
Apple Silicon, NVIDIA CUDA, and external engines. GROMACS, OpenFOAM, PySCF installation guides.
MCP Setup
Configure 21 MCP tools for Claude, Cursor, Cline. JSON Schema and stdio JSON-RPC.
Social Publishing
Zenodo, ORCID, Mastodon, Bluesky, Telegram, Reddit, Discord, Slack — setup + blast social post. Honest limits documented.
Research Audiences
Who is c4reqber for? PhD students, interdisciplinary researchers, engineers, psychologists.
Technical Whitepaper
Full system whitepaper: C4-META, 9 verifiers, 38 engines, pipeline, MCP, TUI v9. EN + RU.
FAQ
What is c4reqber?
A cognitive exoskeleton for AI agents and human researchers. 38 simulation engine bridges, 47 knowledge sources, formal verification, Z₃³ topology, and O₀→O₁→O₂ observer — turning questions into gated research proposals.
How much does it cost?
Free and open-source (AGPL-3.0). You only pay for LLM API calls. A full pipeline run costs $0.002–$0.11 depending on tier.
Do I need a GPU?
No. GPU is optional. Apple Silicon (MLX) and NVIDIA CUDA accelerate simulation; the core pipeline runs on CPU.
What operating systems are supported?
macOS and Linux are fully tested. Windows may work under WSL2.