AutoScholar

Autonomous Scientific Research Engine

The first fully standalone macOS app that generates publication-grade academic research papers autonomously. No server — runs entirely on your Mac using Claude, local Python analysis, and local LaTeX compilation. 7 specialized AI agents orchestrate a 7-phase research pipeline from gap analysis to peer review.

 macOS 14+ Swift 5.9+ 10,119 LOC v3.0.0

Download DMG (1.4 MB) View Source

AutoScholar 3.0.0

Autonomous Research Engine

7 Agents LaTeX Python

● Capabilities

Features

📚

7 Specialized Agents

Euler (writer), Gauss (gap analysis), Turing (data collection), Newton (data prep), Fisher (analysis), Governor (supervisor), Popper (peer review).

📊

4,018 Research Prompts

24 domains across finance, econometrics, ML, and more. 24 methodological approaches from Panel Regression to Bayesian MCMC.

🌐

8+ Data Providers

FMP, FRED, EODHD, World Bank, IMF, OECD, Semantic Scholar, OpenAlex, arXiv, CrossRef, Tavily, Firecrawl, Exa, Polymarket.

📄

Local LaTeX Compilation

pdflatex multi-pass compilation with iterative error repair. Native PDFKit viewer with zoom, export, and print.

🔥

Local Python Analysis

NumPy, Pandas, SciPy, Statsmodels, Scikit-learn, Matplotlib, XGBoost, LightGBM — figures and econometrics without leaving your Mac.

⚙

Governor System

Rule-based quality control with zero LLM calls. 7 profiles, retry budgets, confidence tracking, and publication verdicts.

Installation

Download

Get AutoScholar-3.0.0.dmg from Releases

Open DMG

Double-click the downloaded file

Drag to Apps

Move the app to Applications

Add API Key

Anthropic API key required for paper generation

✓ Apple Notarized ✓ Code Signed ✓ macOS 14+ ✓ Apple Silicon