Developer Tools4 weeks ago
recall - flashcards your AI makes while you read
Connect recall's MCP to Claude, ChatGPT, or any MCP client and turn your notes into flashcards you actually review.
@tusharnathh · X
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Connect recall's MCP to Claude, ChatGPT, or any MCP client and turn your notes into flashcards you actually review.
@tusharnathh · X
Reflow PDFs in your browser using a local AI model.
ldenoue · HN
Show HN: PDF reflow in the browser with local AI model
Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents
@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -
Mask sensitive data before sending to any LLM, then restore it in the reply.
@velumprivacy · X
Connect once with Itsuki to share structured memories across Claude, Cursor, and 24 other AI tools.
12ziyad · HN
Itsuki – shared memory for Claude Code, Cursor and 24 other AI tools
Sync your AI agent setup and skills across platforms without vendor lock-in.
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Calculate GPU VRAM requirements for LLM fine-tuning and inference.
@FaiqAdzlan · X
Built a GPU VRAM calculator to try out Claude Code (#cursorfanboy). I wanted it as granular as possible so I based it off of LLMem) which really just covers fine-tuning tbh. Please tear it to shreds: GitHub:
Measure your GPU's real memory-bandwidth ceiling for local AI in 30 seconds.
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
Save bookmarks, videos, and notes in an AI knowledge base that summarizes and connects ideas.
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them
The simplest AI collections assistant for solo Stripe users. One-click connect, personalized escalating reminders, configurable Trust Mode. Get paid without lifting a finger.
@StripeCopilot · X
RearAware is a Chrome extension that uses on-device AI to detect and censor cat butts during video calls. Real time, private, free.
u/BumBumModerate · Reddit
I made an AI that censors cat butts during work video calls. I've been spending the past few months on a project called RearAware. It's an experimental AI tool that runs locally on your computer and censors cat butts during your work video calls. If you work from home with a cat, you've probably had at least one moment where your cat decided the best place to flash its butt was directly in front of your webcam. It's a pretty ridiculous concept, but it's been a really fun project. The