Timeln
Your entire reading history, as context for any LLM
What it does
Timeln makes your personal context instantly queryable across Claude and ChatGPT. It captures what you read, save, and decide behind the scenes, ensuring your insights stay intact across every AI tool you use. Tap ⌘C three times and whatever you're reading is saved: text, links, PDFs, screenshots. No folders, no tags, nothing to organise. Press ⌘\ in any app to find memories, or connect it with Claude or Cursor to answer from everything you've read.
Timeln is your AI knowledge partner. It saves what you read online, connects new saves to old ones, and answers with sources. Chrome extension, no folders or tags. Free to start.
Save anything from the web, then ask questions later. Timeln connects it to what you already know, and answers with sources. Save once. Timeln tags and links it for you. Then put that context to work whenever you’re ready. Hundreds of people have already made the switch from Apple Notes, WhatsApp notes, Google Keep, and other note-taking apps. You save. Timeln links it, clusters it, and turns it into answers and next steps. The extension stays in your browser while you work. Like a post on LinkedIn or X, a finished long read, or a dropped file. Timeln captures it and starts linking. Turn on autonomous mode when you want saves without extra clicks. Capture articles, PDFs, videos, and posts…from timeln.app
Does the same job
all alternatives →- COCore – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112
I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
- GLGPT–LLM native macOS app with time travel, versioning, search2023 · thellm.app · ▲12
Hey everyone! I made a Mac app for exploring large language models. It’s fast, small, has a tiny memory footprint. It’s immutable by design with both immediate time travel and automatic versioning as foundational elements. The app is written in Swift and a bit of Rust for the tokenizer. I used SwiftUI for structure and animations and Cocoa for advanced behavior. All storage is SQLite and local-only. You can go through the database as needed and backup it as well. The app has support for variants, which is the `n` parameter in the OpenAI chat completion API—equivalent to the drafts feature in…
- MAMCPs aren't enough, give Codex/Claude accurate memory of everythingMay 2026 · timeglass.ai · ▲17
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com