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Your ultimate research companion

Project description

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Alithia Research Companion

PyPI version

Alithia Overview

Time, is one of the most valuable resources for a human researcher, best spent on thinking, exploring, and creating in the world of ideas. With Alithia, we aim to open a new frontier in research assistance. Alithia aspires to be your powerful research companion: from reading papers to pursuing interest-driven deep investigations, from reproducing experiments to detecting fabricated results, from tracking down relevant papers to monitoring industrial breakthroughs. At its core, Alithia forges a strong and instant link between your personal research profile, the latest state-of-the-art developments, and pervasive cloud resources, ensuring you stay informed, empowered, and ahead.

Features

Alithia connects your personal research profile with publicly available academic resources, leveraging cloud infrastructure to automate the research workflow.

AI Agents

  • PaperScout — Personalized ArXiv paper recommendations delivered via email

    • Analyzes your Zotero library to understand research interests
    • Monitors ArXiv for new papers matching your profile
    • Ranks papers by relevance using embeddings + LLM
    • Sends daily curated digests with TLDR summaries
  • PaperLens — Deep paper interaction and analysis

    • Parses PDFs using Docling with IBM Granite VLM
    • Extracts text, figures, tables, and equations
    • Semantic search across your paper collection
    • Interactive Q&A for paper exploration

Researcher Profile

  • Research interests, expertise, and preferences
  • Connected services:
    • LLM (OpenAI compatible APIs)
    • Zotero personal library
    • Email notifications (SMTP)
    • GitHub profile
    • Google Scholar profile
  • Gems — Save and organize research ideas and digests

Academic Data Sources

  • arXiv — Latest papers from cs.AI, cs.CV, cs.LG, and more
  • Google Scholar — Profile sync and publication tracking
  • Web search — Tavily and other search engines
  • Researcher homepages — Automated discovery

Usage

Docker (Recommended)

The easiest way to run Alithia is using Docker:

docker pull ghcr.io/caesar0301/alithia:latest

Run the dashboard:

docker run -d -p 8080:8080 \
  -v $(pwd)/alithia_config.json:/app/config.json \
  ghcr.io/caesar0301/alithia:latest \
  python -m alithia.run dashboard --config /app/config.json

Running from Source

Installation

Alithia uses optional dependencies to keep the base installation lightweight. The default installation includes PaperScout agent dependencies.

Recommended: Default Installation

For most users, install with default dependencies (includes PaperScout agent: ArXiv fetching, Zotero integration, email notifications, etc.):

pip install alithia[default]

Optional Features:

Install with PaperLens support (PDF analysis and deep paper interaction):

pip install alithia[docling]

Install all features:

pip install alithia[all]

Configuration

Create a JSON configuration with your credentials. See alithia_config_example.json for a complete example.

Running the Dashboard

Production mode:

python -m alithia.run dashboard --config alithia_config.json

Open http://localhost:8080 in your browser.

Development mode (with auto-reload):

python -m alithia.run dashboard --config alithia_config.json --dev

For frontend development, see docs/DEVELOPMENT.md.

Storage Backend

Alithia supports three storage backends for persistent data storage with automatic fallback support. By default, SQLite is used for local development, while Supabase or PostgreSQL can be configured for production use. This enables:

  • Persistent caching of Zotero libraries and parsed papers
  • Continuous paper feeding that handles ArXiv indexing delays
  • Deduplication to prevent duplicate email notifications
  • Query history tracking for PaperLens interactions
  • Google Scholar profile synchronization
  • Dashboard background task management

See docs/STORAGE_SETUP.md for storage details.

License

MIT

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

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