DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to export a Reading Report and cross-paper reading plan with Papergraph MCP

Save checkpoints and notes, then export Markdown reports that summarize your reading across papers.

  • Research
  • Intermediate
  • 45 minutes
  • From the README
  • Any agent

Who it is forA researcher reading several related papers who needs a written record of progress and a suggested order.

The problemReading progress, notes, and open questions get scattered across papers, making it hard to resume or hand off work.

The outcomeA Reading Report for each paper and a Cross-Paper Reading Plan in Markdown, backed by the local workspace state.

What you need first

  • uv installed (see the uv getting-started guide linked in the README)
  • An arXiv ID, a local LaTeX project with its main .tex file, or a born-digital PDF of a math paper
  • A workspace database location outside the repository

Steps

  1. Save checkpoints, notes, and open questions in the workspace as you read each result.
  2. Follow the export commands in the first-workspace walkthrough to produce a Reading Report.
  3. Export a Cross-Paper Reading Plan once two or more papers are in the same workspace.
  4. Keep the workspace database outside the repository and back it up before any schema upgrade.

Prompt for your agent

Using the papergraph-mcp repo and workspace <workspace path>, export a Reading Report and a Cross-Paper Reading Plan. Return both as Markdown files and check that each open question in the report appears in the workspace state.

Caveat. Papers and reading state stay local, and older PaperGraph versions cannot open schema 9 workspaces, so back up before upgrading.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page