arxiver

Personal arXiv research assistant: semantic search, ML-based recommendations, LLM summaries, and an MCP server so Claude (or any agent) can query your reading history. FastAPI + ChromaDB + TensorFlow.

Description supplied by the publisher; it is a claim, not verified evidence.

Name
github:w00jay/arxiver
Listed in
GitHub
Publisher
@w00jay
Published
2026-01-01
License
MIT-0
Evidence
Listed only, not analyzed yet

Source: https://github.com/w00jay/arxiver

What a full analysis of arxiver checks

Not checked yet. About 60 tools are analyzed every hour; each check links to its source when it runs:

Before you install it

  1. Open the repository and confirm the account is the one you expect: look-alike names are common.
  2. Read what it asks for: files, accounts, network access and credentials it needs.
  3. Prefer a version from a verified publisher when one exists.

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