RagMarks

Private bookmark memory

Your bookmark archive, upgraded into a query layer

Chat with your saved tweets.

Turn your X bookmarks from a static graveyard into a personalized, intelligent second brain. Never lose a great thread again. Just ask RagMarks.

10k+

Saved tweets turned searchable

Cited

Answer format

< 2 min

Setup time

From cluttered bookmarks to usable memory

A wider workspace that shows retrieval, synthesis, and sources at once

1,284 savedPrivate index ready

X Bookmarks

Saved threads, still buried in a feed-shaped UI

Static archive

@agentbuilder

Saved 4 days ago · 27 posts in thread

Long AI agents thread you meant to revisit, with notes on evals, tool use, and where retrieval beats memory.

agentsRAGevals

Also saved

Design systems notes from a product lead.

Also saved

Startup growth tactics from last quarter.

RAG pipeline

Ingest, embed, retrieve

RagMarks Chat

Answers grounded in your own saved knowledge

Ready

Summarize that AI thread about agents from last week.

You saved a thread comparing tool-using agents, workflows, and eval loops. The clearest pattern: small, reliable chains beat broad autonomy for most product use cases.

Citation 1: "On agents, evals, and production safety"

Citation 2: "Why retrieval beats memory for bookmarks"

Ask follow-ups: "Which ones mentioned evaluation?" or "Give me the top five quotes."

2 source threads

The Pain

Are Your Best Ideas Getting Buried?

Lost in the algorithm

Scrolling through thousands of bookmarks is tedious when you only need one great thread.

Knowledge disappears

If the creator deletes the tweet, your context is gone. RagMarks keeps the useful parts within reach.

Search fails memory

You remember saving something smart about agents or design, but not the exact words to find it.

How It Works

From Saved to Sentient in 3 Steps.

RagMarks wraps a simple retrieval pipeline around the tweets you already trust, so the interface feels like chat while the answers stay grounded in your own archive.

Step 1

Connect Your X Account

Use a familiar OAuth flow to point RagMarks at the bookmarks you already save.

Step 2

Ingest & Index

We build a private semantic index so your saved tweets become retrievable by meaning, not just keywords.

Step 3

Query Your Memory

Ask for summaries, patterns, or the exact thread you forgot, with links back to the source tweets.

Value

Built for people who save too much and remember too little.

Semantic Search

Ask conceptual questions like "Give me the best design threads I saved this month."

Persistent Memory

Your private archive stays useful even when the original post is deleted or buried.

Instant Summaries

Skip the re-reading. Pull the core insight from a long thread in a few seconds.

Privacy-First

Your dataset powers your assistant, not a public training corpus or shared recommendation engine.

Waitlist

Turn Your Knowledge Graveyard into an Active Brain.

If your bookmarks already act like raw research, RagMarks should act like the interface over that research. Join early and help shape the first release.