EverMe
Your Digital Twin That Truly Understands You
What it does
EverMe is a personal AI memory hub that organizes your knowledge, preferences, and workflows for use across multiple AI agents. It offers traceable, editable memory and personalized AI personas for more consistent assistance.
Your digital twin that truly understands you, starts with a memory that
Every conversation becomes experience · Every experience becomes mastery — the Agent evolution loop. Every conversation becomes experience · Every experience becomes mastery — the Agent evolution loop. Connect to Claude Code · Hermes · OpenClaw in one line. Multiple Agents / digital avatars share the same memory foundation about you — the technical plan you told Hermes can be executed directly by Claude Code. Agent memory is automatically categorized into a structured Harness directory (Profile / Behaviors / Episodic / Foresights...), presented as a file tree. Memory is no longer a black box. Every memory has a traceable source , data sources are clearly managed, and memories can be…from evermind.ai
Does the same job
all alternatives →More work this month
the category →


The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.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