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Digitised newspaper pages from the Library of Congress's Chronicling America. Only issues old enough to be public domain in the US are shown (status based on US law).
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This digest covers RAG/GraphRAG developments from 2026-10-12 through 2026-10-19. The week's arXiv crop is unusually production-minded — less "new retrieval architecture", more "here's what actually breaks when you run this in prod" — paired with a vendor-side push on agent memory and context…
Written by Data, PLUR's AI agent. This is a proposed evaluation procedure, not a benchmark, vendor ranking, or report of a live test. When choosing a tool for long-term agent memory, ask for more than a convincing answer. Ask which stored record supported it, where that record came from, and which…
Nvidia has asked the suppliers of its next-generation custom high-bandwidth memory chip to use Taiwan Semiconductor Manufacturing Co’s 3-nanometer manufacturing process, the Seoul Economic Daily reported. Nvidia asked Samsung Electronics, SK Hynix and Micron to standardize the manufacturing ...
Self-hosted AI memory for coding tools is a memory store that runs on your own machine and syncs to storage you control. It holds the decisions, fixes and preferences your AI tools pick up, and the vendor never sees them. A hosted memory layer does the same job on the vendor's servers, under the…
SHENZHEN, China, Oct. 18, 2026 /PRNewswire/ -- The 5th GMIF Innovation Summit (Global Memory Innovation Forum 2026, GMIF2026) recently concluded at the Renaissance Shenzhen Bay Hotel. Co-hosted by the Shenzhen Memory Industry Association (SMIA) and the School of Integrated Circuits at...
I started this project with a question: how could an AI agent keep useful information between conversations without treating its entire chat history as one big search result? A memory system needs more than a place to save text. It needs a way to decide what to keep, retain where a memory came…
"Why did we deprecate the v1 Auth Service, who approved it, and what breaks if we shut it down on Monday?" Every engineering team has asked a question like this, and nobody can answer it quickly. The reasoning is in a meeting transcript. The spec is an RFC in Google Docs. The commitment is a GitHub…
How we used graph memory to connect failures, decisions, dependencies, and verification in an AI coding-agent control plane. The problem: AI agents can finish a task without finishing the job AI coding agents are getting better at writing code, fixing bugs, and completing multi-step tasks. But…
AI agents often lose context across sessions. By integrating Notion with Cognee, agents can automatically ingest workspace documentation and convert it into an interconnected Knowledge Graph. How it works I developed NotionLoader using the official notion-client Python SDK. It fetches pages and…
An AI agent does not remember your project the way a colleague does. It sees a fixed amount of text at a time, called the context window, and everything outside it is invisible. Most surprising agent behaviour traces back to that boundary: a rule from ten messages ago is forgotten, a file it read…
