Claude Scholar is a semi-automated research assistant for academic research and software development that integrates with multiple AI coding platforms.
The tool addresses the fragmented workflow researchers face when moving between literature review, implementation, experimentation, and writing. It provides structured support across these phases by connecting to Claude Code, Codex CLI, Kimi Code CLI, and OpenCode, allowing researchers to leverage AI assistance while maintaining project continuity. The approach organizes work into distinct stages—from initial ideation through coding, running experiments, and preparing publications—with integration points for knowledge management and paper writing.
Researchers in computer science and AI who work across both theoretical and implementation aspects will find this tool most useful. It suits projects that require moving fluidly between reading papers, writing code, conducting experiments, and documenting results. The tool maintains separate branches for different AI platforms, so adopters should select the branch matching their preferred coding environment rather than expecting a unified interface across all four platforms.
The project maintains active development across multiple platform-specific branches, with each branch tailored to its respective AI coding environment. Documentation is available in multiple languages to serve a broad user base.
