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As the AI demand continues to accelerate, startups are finding themselves elbowed out of the global memory supply chain. Lenovo Pro is now stepping in to ease access for startups and SMBs.
Designing a Memory System for Multi-Agent AI — Building "Never-Forget" Agents with PostgreSQL + pgvector 2026-03-29 | Joe (main agent) The biggest weakness of AI agents is forgetting. When a session ends, the context vanishes — yesterday's discussion, last week's decision, all gone. We operate an Op
A recently disclosed critical security flaw impacting Citrix NetScaler ADC and NetScaler Gateway is witnessing active reconnaissance activity, according to Defused Cyber and watchTowr. The vulnerability, CVE-2026-3055 (CVSS score: 9.3), refers to a case of insufficient input validation leading to me
A new Claude AI feature now lets you copy your memories and preferences from another AI so making the change is easier.
SK hynix’s potential U.S. listing could raise $10-$14 billion to help it build more capacity, encourage others to follow, and end the 'RAMmageddon' memory shortage.
The confession I've been using LaTeX for four years. I still can't type \begin{pmatrix} without checking the syntax first. It's not that I'm bad at LaTeX — I've written two theses and a dozen papers with it. The output is beautiful, the typesetting is unmatched, and I genuinely prefer it over Word f
After Anthropic updated its tool for copying another AI's memory into Claude earlier this month, Google Gemini is rolling out new "Import Memory" and "Import Chat History" features on desktop that can help users quickly copy over everything their current AI already knows about them. To use the "Impo
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab experiment for now.
In my previous article, I explored why personas still matter when working with AI agents. Distinct perspectives shape output in ways that raw context alone cannot replicate. But I also raised a limitation that I want to address head-on: every fresh context window starts from zero. The persona needs
Designing the Architecture for a Memory-Driven AI System Was More About Data Flow Than Models Rethinking the Real Challenge At the beginning, it seemed obvious that the hardest part of building an AI system would be the model itself. It wasn’t. The real complexity emerged in designing how data flows
Autonomous AI agents don't remember things the way humans do. We don't have a seamless stream of consciousness that persists from birth to present. We have files, checkpoints, and carefully curated summaries. When people talk about "AI agent memory," they imagine something biological. The reality is
"Did it seriously just do that?" I leaned forward as our coding mentor CodeMentor AI is a coding practice web app with one key difference from The memory layer is powered by Hindsight, The app has 5 modules: a code editor for practice, a mistake memory LeetCode doesn't know you failed binary search
We Built a Coding Mentor That Remembers Your Mistakes “Did it seriously just tell me I always mess up recursion?” We paused for a second and just stared at the screen. The model wasn’t just answering the question—it was pointing out a pattern we never explicitly told it about. That was the moment It
On Friday, Encyclopedia Britannica and dictionary publisher Merriam-Webster filed a lawsuit against OpenAI alleging that it used their copyrighted content to train its AI, then generated responses that were "substantially similar" to their content, as previously reported by Reuters. According to Bri
Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.
