claude-scholar (Galaxy-Dawn/claude-scholar) is an open-source AI project on GitHub. Repository summary: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication. Its focus includes MCP and tool-calling integration, developer-centric engineering workflows. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
4,173
Features
- Core capability: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.
- Provides MCP or tool-calling integration
- Built for code generation, debugging, or engineering integration
- Repository: Galaxy-Dawn/claude-scholar
- Primary language: Python
- Open-source license: MIT
Use Cases
- Connects external systems into agent workflows
- Supports AI engineering build-and-iterate workflows for dev teams
- Build internal AI workflow prototypes with claude-scholar
- Validate claude-scholar in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/Galaxy-Dawn/claude-scholar. Community traction is around 4,169 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Supports AI engineering build-and-iterate workflows for dev teams, Build internal AI workflow prototypes with claude-scholar.
