claude-scholar is a retrieval and knowledge workflows repository at Galaxy-Dawn/claude-scholar; the project summary says: 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 recorded primary language is Python. License metadata lists MIT. GitHub metadata shows about 4,169 stars.
License
MIT
Stars
4,482
Features
- GitHub description for claude-scholar: 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.
- claude-scholar uses Python as its recorded primary language, which helps with stack-fit review.
- claude-scholar supports investigation of retrieval, embedding, or knowledge-grounded application flows.
- claude-scholar fits engineering teams assessing code, CLI, SDK, runtime, or developer-tooling workflows.
- claude-scholar lists MIT license metadata; review obligations before redistribution or hosted use.
- claude-scholar has about 4,169 GitHub stars in the local metadata snapshot.
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
Start from the 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.), then verify maintenance status, integration boundaries, and whether its retrieval and knowledge workflows, developer engineering workflows focus matches the intended workflow. Repository: https://github.com/Galaxy-Dawn/claude-scholar. Stars: about 4,169. License: MIT. Language: Python.
claude-scholar is best treated as a repository-level component or reference implementation for retrieval and knowledge workflows, developer engineering workflows. Good evaluation scenarios include: Test claude-scholar when the need is retrieval and knowledge workflows and the repo summary matches: Semi-automated research assistant for academic research and software development. Suppo... Compare the Python implementation in claude-scholar before choosing a similar internal architecture. Use claude-scholar to prototype retrieval-backed knowledge features using the repository direction.
