... trial key is auto-provisioned on your first request. JavaScript / TypeScript npm install @mnexium/sdk import { Mnexium } from '@mnexium/sdk'; const mnx = new Mnexium({ apiKey: 'mnx_...', openai: { apiKey: process.env.OPENAI_API_KEY }, }); const alice = mnx.subject('user_123'); // Chat with memory learns and recalls automatically const chat = alice.createChat({ learn: true, recall

... ready for a big update and a sneak peek of what's to come! We packed a lot into this release, all focused on making your Recall experience smoother and more intuitive. Improved Organization with tag tree improvements: If you've been frustrated with the lack of flexibility and customization of your tag tree (the left panel that shows all of the tags), then you are in for a treat! Get all the details in our docs or watch ... ... latest tutorial. Create tags anywhere in the tree Create new tags without first needing to associate it with a Recall

... process, your brain treats new vocabulary as temporary information and discards it. The solution isn't studying harder. It's studying smarter. Spaced repetition works because it forces your brain to retrieve information at scientifically optimal intervals. Each successful recall strengthens the neural pathway, moving words from short-term to long-term memory. WordFlippin automates this entire process: Add any word instantly AI generates meanings, examples, and mnemonics Smart scheduling based on retention science Review reminders at optimal intervals Track ... ... progress and streaks Same effort. Different system. Permanent results. Your exam tests vocabulary you can recall

... Graph View 2.0 is here, along with dozens of improvements across Recall. This release transforms how you explore and navigate your knowledge: visualizing connections, discovering paths between ideas, and watching your knowledge base evolve over time. Watch the tutorial | Read the docs Graph View 2.0 Card drawer: Click any node to open a slide-out drawer showing the full card content. Read and edit without leaving the graph. Focus mode: Click a node to filter the graph to only that ...

... used memories stay strong. Unused ones naturally fade. The result is more relevant, contextual AI interactions. How It Works Memory Decay is modeled after the Ebbinghaus forgetting curve from cognitive psychology. Memories naturally decay over time unless reinforced through recall exactly how your brain prioritizes what matters. Confidence Scoring When the AI extracts a memory, it assigns a certainty level. "User is vegetarian" (explicit statement) ranks higher than "User might prefer mornings" (inference). Higher confidence memories surface first. Reinforcement Every ... ... time a memory is recalled

... When building AI agents with long-term memory, debugging is a challenge. You know something was remembered but: When was it created? What replaced it? Why is it being recalled now? Why was it created as a memory in the first place? Memory Graphs is our first attempt to fix that. See memory evolution Watch facts evolve across conversations: favorite color = blue green red yellow Trace exact origins Every memory links back to the message that created it. Visualize recall

... supports all three major AI providers! OpenAI ChatGPT models Anthropic Claude Models Google Gemini Models NEW Why this matters: Your users can now seamlessly switch between providers while keeping their memory and context intact. Learn something with GPT-4 Recall it with Gemini Continue with Claude. Same user. Same memories. Any model. How it works: Just use the native Google SDK and point it to Mnexium: import { GoogleGenAI } from "@google/genai"; const client = new GoogleGenAI({ apiKey: GEMINI_KEY, httpOptions: { baseUrl ... ... const response = await client.models.generateContent({ model: "gemini-2.0-flash-lite", contents: "What's my favorite color?", }); // Gemini knows - because GPT-4 learned it yesterday What's supported: Streaming & non-streaming Tool/function calling System instructions Thinking mode Memory learn & recall

... built-in const client = new OpenAI({ baseURL: " https://mnexium.com/api/v1 ", defaultHeaders: { "x-openai-key": OPENAI_KEY } }); await client.chat.completions.create({ model: "gpt-4o", messages: [{ role: "user", content: "Hello" }], mnx: { subject_id: "user_123", history: true, // Chat history learn: true, // Memory extraction recall: true, // Memory retrieval profile: true, // Structured user profiles summarize: "balanced" // Typically ~75% token reduction } }); Timeline: ~5 minutes. What you get out of the box Automatic memory extraction & recall

... Most AI products eventually hit the same problem They forget who the user is and the experience feels generic again. We ve been working on @Mnexium AI , a simple memory layer for AI apps that: remembers users across sessions recalls relevant context automatically keeps conversation history lean (rolling summaries) creates structured user profiles over time No vector DB setup, no custom retrieval logic it plugs into your existing LLM flow. mnx: { learn: true, // extract & store memories recall

... This release is a huge step for Recall. We started Recall

... This question is semi-philosophical, but I recall my ex-classmate she had quite rich parents and really didn't need to work. As an only child, she had everything first (all technology, all pricy vacations, they even bought her own flat in 18 + car). Since she had a lot of money from her parents and a lot of free time, she only enjoyed life (some dr*gs and other stuff). As a person, she didn't look like someone ... ... time. The easier things come, the less we tend to value fast, easy money and the time spent getting it. Is it good to earn things the hard way to appreciate your time and money? How do you recall

... month. Not in a week. Often within 24 hours. Why Reading Alone Doesn't Work: Passive exposure Active learning Your brain doesn't store words just from seeing them once. It needs repetition. Spaced repetition. Active recall. Context isn't enough You might understand a word in one sentence but fail to use it in another. Understanding Ownership. No reinforcement loop You read "ephemeral" on page 47. You never see it again. Your brain dumps it as irrelevant. Here ... ... contexts before it moves from recognition to active vocabulary. Reading gives you encounter #1. Maybe #2 if you're lucky. Then nothing. The Real Formula for Vocabulary Growth: It's not reading more. It's this: Exposure + Repetition + Active Recall

... This release is all about helping you get more out of Recall. We've created comprehensive use case guides and a detailed tutorial based on your feedback, showing you exactly how to unlock Recall

... have some exciting news to kick things off: We've launched our Affiliate Program! If you love Recall and know others who could benefit from better knowledge management, you can now earn up to $20 per referral while giving them 10% off. Jump to details or keep reading for what else is new. While you may have noticed fewer flashy features in your updates, we've been doing the essential work that makes Recall

... Hello all! Bulk tagging is finally here (with more bulk actions coming soon) and we've given the mobile experience some much-needed attention. Whats New in Recall Bulk Tagging from Card List View You can now tag multiple cards at once directly from the homepage view, making it faster to organize your knowledge base. We know the flow from search homepage bulk action isn't quite seamless yet - we're working on it! Mobile Enhancements We've made significant ... ... improvements to the mobile experience: Fixed blank screen issue when sharing content to Recall

... Hello Everyone ! This is a super exciting update! We've redesigned Recall Cards to give you more control over your layout and a much better reading experience with adjustable font sizes across the app. What's New Recall

... Compose your question. 2. Click Add Memory Chip search by project/label/item. 3. Attach 1 3 chips (e.g., Auth , Runbook ). 4. Send. Chips are used for this reply only and auto-expire. Privacy & compliance * Default-deny cross-project recall; everything is explicit & logged. * Sensitive labels can be auto-redacted or require owner approval. Respect data residency & tenant isolation; *TTL** limits scope and all access is auditable. Example use cases * Reuse JWT best practices from Service A while coding ... ... into a new hire s first week. Open questions (feedback welcome!) * Security model: Is read-only + TTL + provenance enough? What else is mandatory? * UX: Where should chips live in the composer to avoid friction? * Policy defaults: Org opt-in vs

... when their data plane can t keep up. That s the problem we set out to solve with GraphBit. Why a new data layer matters RAG pipelines break without fresh, reliable data. Vector DBs alone can t handle hybrid recall or scale gracefully. Enterprise teams need auditability + efficiency, not black-box memory. What GraphBit s Data Layer does differently Unified Retrieval One interface across pgvector, Qdrant, Weaviate, Elastic. No lock-in. Hybrid Search Dense + sparse + graph edges for accuracy ... ... fewer hallucinations. Versioned Memory Short-term, long-term & time-scoped recall

... Series We ve heard your feedback that our tutorials were too fast-paced and not detailed enough. We re launching a new, more comprehensive tutorial series the first one is now live - My Top 5 Daily Use Cases for Recall. What We re Working On A Better Reading Experience We re developing a comprehensive update to transform the Reader into a full-featured read-it-later application, including highlights with comments. A Better Mobile Experience There ... ... done to improve the mobile app, with the biggest pain point being consistent sharing to Recall

... source chip was returned repeatedly after a response in Chat. Extension & Migration Fixes: Fixed an issue where multiple tab groups would open in your browser when migrating or doing a bulk import. Fixed data migration issues for legacy Recall users. Added Copy and Rate Chat features (still pending Chrome approval for the browser extension). @Bou FYI I know you were waiting for this. What we re working on: Focusing the correct point in the reader/notebook when a reference ... ... clicked in a chat response. Adding the option to cancel or stop a chat response while it s streaming. Speeding up syncing between devices. Improvements to bulk imports. Ability to zoom in on PDFs added to Recall

... that actually thinks like an operator under pressure? So we built PhantomShift , a research prototype that acts like a tactical copilot observing your terminal, understanding context, and recommending your next best move mid-engagement. Think of it as your unblinking, recall-perfect operator ready to train the next generation of cybersecurity pros by having it support operator training and tactical development. Dive into the details by reading our blog post: We Taught an LLM to Think Like a Hacker Checkout ...

... building an AI memory layer that acts like a second brain, something that helps you recall the right file, note, or detail when you need it, without digging. But here s the big question: Do you want your AI to remember your insurance policy? That link from 2021? A contract you forgot about? Where would you personally draw the line between helpful memory and too much ? Comment from Randeep Wilkhu(@randeep_wilkhu): @theideator  Exactly, we have strict privacy policies ... ... your community: https://www.producthunt.com/prod... Comment from Ayush(@ideatbd): Absolutely. My friend recently went through an incident where having access to a tool like this would've made a big difference. As long as its being used to recall

... continuing to expand the types of content Recall supports while actively testing some big new features: chat, search, and bulk import of personal markdown. What s new: TikTok support: Save and summarize TikTok videos. Long YouTube videos: Videos over 5 hours are now supported (if they have a transcript). Mobile UX improvements: Fixed scroll jumping & Back button now closes drawers and modals properly Still working on: Mobile share intent: Fixing Recall

... With many Pocket users hunting for alternatives, we fast-tracked a Pocket import feature and it s here. You can now import up to 500 Pocket saves at a time directly into Recall

... knowledge base, we re excited to share a few new improvements in the meantime: Improvements: Support for Apple and Spotify Podcasts: It s here! You can now share your favorite podcast episodes from Apple and Spotify directly into the Recall app. This is our first version, so you might notice a bit of lag please share any issues you run into so we can improve it quickly. Reader now available in Firefox: We re getting closer to full parity between ... ... Chrome and Firefox extensions. Reader is now supported in Firefox! Bugs: External links now open correctly in your native mobile browser. Fixed a long-standing issue with YouTube transcripts Recall