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cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.
literature-review-agent
An auditable, resumable AI workflow that searches scholarly literature via Europe PMC and arXiv, screens and deduplicates records, and writes evidence-grounded literature reviews using LangGraph agents.
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License
AGPL-3.0
Last updated
2026-07-31
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It bridges literature retrieval and review with a transparent, auditable pipeline that explicitly labels evidence depth, supports interactive outline approval and resumption, and combines two specialized LangGraph agents.
Who it is for
- Researchers and systematic reviewers who need reproducible literature searches
- AI/ML engineers evaluating retrieval-augmented generation evidence
- Technical writers or analysts producing evidence-grounded reviews
- Open-source developers contributing to scientific AI workflows
Use cases
- Searching Europe PMC and arXiv on a topic and exporting a deduplicated CSV
- Generating an evidence-informed outline and writing an abstract-grounded literature review
- Running a full-text review from local PDF or Markdown documents with the Review Agent
- Recovering or adjusting a session with feedback before approval
Strengths
- Combines two LangGraph agents for retrieval and review in one workflow
- Uses official Europe PMC and arXiv APIs with bounded one-hop citation expansion
- Explicitly labels abstract-level vs full-text findings
- Resumable sessions and audit artifacts support transparency
Considerations
- Default model requires DEEPSEEK_API_KEY and .env is not automatically loaded
- Combined abstract pipeline does not read full text; full-text review requires separate local documents
- Requires Python 3.11+ and setup via scripts; AGPL-3.0 license may limit some reuse
README quick start
Quick start
Description
A LangGraph-powered agent for literature search, evidence screening, outline generation, and evidence-grounded review writing.
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