S
Scholar-Agent
OPEN SRCAutomate Literature Benchmarking & SOTA Metric Extraction
► Academic researchers, data scientists, and students who need to automate literature reviews, extract benchmark metrics from papers, and track state-of-the-art research efficiently
VG SCORE6.2
WEBCLOUD (SAAS)
Product Details
PricingOpen Source
DeploymentCloud (SaaS)
Learning CurveModerate
Platforms
Web
Integrations7 available
■ INTELLIGENCE BRIEFING — Weekly tool drops. No spam.
PROS & CONS
STRENGTHS
- It accurately extracts text and data from complex academic PDF documents
- The tool is constructed using the LangGraph framework for stable workflows
- It connects published research papers with related raw experimental datasets
WEAKNESSES
- −The tool provides minimal documentation about its customer support options
- −Its website does not list any specific pricing plans or tiers
KEY FEATURES
PDF parsing with Docling and OCR fallback for tables/equations
SQLite persistence for projects and reports
React/Vite frontend with real-time agent tracking
Docker Compose for containerized deployment
WHO IS Scholar-Agent BEST FOR?
Researchers
Automate extraction of metrics from academic papers.
Data Scientists
Quickly benchmark algorithms against literature.
INTEGRATIONS
ZoteroMendeleyGoogle ScholararXivSemantic ScholarPubMedOverleaf
TECHNICAL DETAILS
LEARNING CURVE
MODERATE — FEW HOURSFIELD REPORTS (0)
No field reports yet. Be the first to review Scholar-Agent.
FILED UNDER
PRICING MODEL
BEST FOR
ResearchersData Scientists
FINAL ASSESSMENT
ADEQUATE — PROCEED WITH CAUTION
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