mempipe

Now in public beta

Turn your files into knowledge your Agents can use.

Search across PDFs and notes. Build a lasting Markdown wiki with citations that open the source passage.

Check the evidence yourself. Let your agent reuse and update the same work.

Try Mempipe Watch the 58-second demo
  • Free plan to start
  • Bring your own model key; your provider bills usage
  • Ordinary Markdown, no lock-in
  • MCP for Claude Code, Cursor, Codex
A citation opened in Mempipe, shown close up. The left pane is the paper's extracted Markdown with the cited paragraph highlighted in gold and marked p.6. The right pane is page 6 of the original PDF with the same paragraph boxed in gold.
A citation from a wiki page, opened. The same paragraph is highlighted in the paper’s extracted text and on page 6 of the PDF it came from, so a sentence can be checked instead of trusted. View full size

A research question becomes a saved page.

A real example using Attention Is All You Need. Three steps, each one a capture of the running app.

58 seconds: ask a question about a paper, save a cited wiki page, open the citation in the PDF, extend the same page. The stills below are frames of the same session, each 1920 pixels wide, so the cited text is readable at full size.

  1. Ask a question about the paper.

    We put the PDF in raw/ and asked why the Transformer replaced recurrence with attention. A bare question gets a chat reply, so the prompt on screen also names the file to write, the title, and a word cap. The how-to post carries both prompts verbatim.

    The paper open in Mempipe as extracted Markdown, with a raw folder holding the PDF and a wiki folder beside it. The agent panel on the right carries the question that was asked and the first two tool calls the agent ran to find the file.

    View full size

  2. Keep the answer as a page.

    The agent wrote wiki/attention-workflow.md and left every existing file untouched. The chips in it are citations; opening one shows the passage behind that sentence in the PDF.

    The saved page wiki/attention-workflow.md open in Mempipe, titled Understanding the Transformer with a Why attention section and citation chips. The agent panel on the right reports that it created the file and lists the four sources it used.

    View full size

  3. Ask the next question. Update the same page.

    Then we asked how the model knows word order. The agent reread the saved page and appended a cited section on positional encoding. The earlier explanation stayed byte-for-byte unchanged.

    The same wiki page after a follow-up question. The original Why attention section is unchanged and a new How does it know word order section sits below it with its own citation chips. The agent panel reports that the first five lines are unchanged byte for byte.

    View full size

Captured in Mempipe with the in-app agent on a model of our choosing. Outputs vary with the model, and a citation that resolves proves the passage exists, not that the sentence summarizes it fairly.

From a folder of sources to knowledge that stays useful

Leave the next session more than a chat transcript. Your research becomes a named page you can reopen, edit, and build on.

  1. 01

    Find the evidence

    Upload PDFs and notes. Search for a phrase or ask a question across your source folder.

  2. 02

    Keep the useful work

    Ask the agent to save a brief, report, or wiki page as Markdown, with citations back to the sources.

  3. 03

    Check the source

    Open a citation to inspect the passage behind it. Review important claims and correct the page when needed.

  4. 04

    Build on it next time

    Add a new source and ask the agent to update the existing wiki. Pick up from the same pages in your next session.

Citations that open the evidence

Follow a citation from your wiki to the source passage. Mempipe connects extracted text to its place in the document, so you can inspect the evidence behind the work.

Explore source search →

Your files stay files

Keep source PDFs beside the wiki. The pages your agent writes are ordinary Markdown you can read and edit yourself.

Search and citations connect that work to its sources. If your research includes CSV data, query its tables with SQL alongside your documents.

Explore the LLM wiki workflow →

Works with your AI agents

What humans see is what agents use

  • Claude Code
  • Claude
  • Cursor
  • Codex
  • ChatGPT desktop
  • VS Code
Every Space is an MCP endpoint
$ claude mcp add --transport http mempipe \
    https://api.mempipe.ai/v1/@your-org/your-space/mcp

Use the in-app agent, or connect your own through MCP. Each Space is an MCP endpoint, and both agents work with the files, document search, and source references you can inspect in the workspace.

You choose an external agent’s access when connecting it to a Space. With your approval for write access, it can create and update Markdown pages. Ask it to read the existing wiki before making changes, then review the result.

Other clients connect from the same screen, or from a copied URL and their own remote HTTP MCP setup. Sign-in is a Mempipe sign-in, not a key you paste.

Connect your agent →

Build your first wiki →

Follow the guide from source upload to saved pages and a later update.

Coming from NotebookLM or Gemini Notebook? →

Compare the workflows for document Q&A and persistent Markdown work.

Build knowledge that comes with receipts.

Bring your sources. Find the evidence. Leave behind something worth keeping.

Try Mempipe Read the how-to

Public beta. Start on Free and upgrade to Starter for more capacity. Bring your own API key for the in-app agent. Reading, searching, and editing files needs no key.

Talk with the founder for help getting started.