Topic
274 articles found
Building an AI Agent with Persistent Memory Most AI assistants start fresh every conversation. Hermes Agent doesn't. Hermes uses a three-layer memory system: 1. SQLite FTS5 (Full-Text Search) — Fast keyword search across all past conversations. Every session is indexed and searchable within millisec
How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them. The post Unified Agentic Memory Across Harnesses Using Hooks appeared first on Towards Data Science.
FY26 guidance puts operating profit at ¥1.6 trillion. The PS5 install base, royalty income from streaming, and a smartphone-camera business with no obvious challenger are doing the work while the gaming hardware unit absorbs a memory-cost shock. Sony Group on Friday set out FY26 guidance the market
Sony sold just 1.5 million PS5 consoles in its most recent fourth fiscal quarter, down 46 percent year over year. The slump in PS5 sales comes after Sony raised the price of its PS5 consoles twice over the past year, pushing the price of the regular PS5 from $499.99 all the way up to $649.99. Sony b
Higher console prices could affect its gaming division results next year, too.
Sony anticipates a profit jump of 11% to 1.6 trillion yen by March 2027. The company expects lower sales in its gaming division but higher profits due to strong software releases. Sony will also buy back shares worth up to 500 billion yen. Investors are watching chip prices and supply chain issues.
In the high-stakes world of digital infrastructure, speed isn't just a metric — it’s currency. At Google Cloud Next ‘26 we announced the Bigtable in-memory tier, a breakthrough for our fully managed cloud database service that delivers: Sub-millisecond read latency for time-sensitive data ~10x highe
I spent a few weeks trying to build an agent that could remember specific user preferences across sessions without bloating the context window to a point where latency became unbearable. The standard advice is always "just use a vector database." But as the memory store grew, I noticed a weird gap:
The Token Tax Problem: How I Built a Super Memory Layer for AI Coding Assistants We Solved the Wrong Problem First When AI coding assistants arrived, we celebrated. Faster delivery. Less repetitive work. Developers doing more meaningful things. Then the invoices arrived. Token utilization had quietl
Bitcoin Core disclosed a use-after-free bug that could have let miners crash nodes and potentially execute remote code.
I was deep in debugging a React application one lazy afternoon, staring at the console as error after error cropped up. I had implemented a pretty standard state management pattern to ensure that my component re-renders whenever specific data changed. But somehow, things were behaving strangely. Com
Samsung’s stock has more than quadrupled in a year. The KOSPI broke 7,000 for the first time. Two Korean chipmakers now account for 42% of the index. The supercycle that built this rally is, by Samsung’s own forecast, not yet at its peak. There is a particular type of market moment that does not hap
A proof-of-concept exploit (PoC) shows how someone with admin privileges can exploit the issue to steal passwords, and thus use them to engage in further malicious activity.
A $725bn hyperscaler capex ramp and a 20% HBM price rise have made the South Korean chipmaker the second-most valuable company on the KOSPI. The harder question is when supply catches demand. There is a small joke in semiconductor circles about which part of an AI server is most expensive. The graph
For about a year, my primary coding agent was goose. Since I worked at Block and served as a Developer Advocate for the project, I was deeply embedded in its ecosystem. I contributed code and provided product feedback that shaped how it functioned. Then, I moved to a company called Entire that provi
You can update this photo as often as you want. I love when my friends have their fridges covered in Polaroids. It’s often a visual crash course of what’s been going on in their lives chronicling recent adventures, get-togethers, and other fun moments. But I don’t love the idea of schlepping around
If you use ChatGPT, Claude, Grok, Copilot, or Gemini daily, it feels like you're talking to a person. It remembers what you said three messages ago. It references the project details you shared yesterday. It feels like the model has a persistent brain that is learning about you. But it’s a lie. From
Maybe recognition is less about detached labels than it is about where something is, what surrounds it, and how that context gets reinforced. That is what pushed me to build this repo. I wanted a smaller problem that still felt close to the thing I cared about. The question that kept pulling me back
Imagine an AI chatbot that forgets everything the moment you close the app. Every interaction starts from scratch, every preference is lost, and the "intelligence" feels fleeting. For modern AI applications, persistence isn't just a convenience—it’s a fundamental requirement. To build a truly robust
If you have 30 seconds. A Claude Code agent without versioned memory drifts — measurably, empirically, and all the more so as the project grows. This article gives the setup I use for 91,000 lines produced in 29 days: five types of memory files (user, feedback, project, reference, sessions), three a
