shared memory
shared memory on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on shared memory in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around shared memory, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Claude Cowork finally remembers what you told the app in chat
Claude Cowork just got a significant upgrade: persistent memory. Anthropic is introducing shared memory across chat and Cowork, eliminating the need to repeatedly provide context about your projects, preferences, and ongoing conversations. This transformative update empowers users to seamlessly build upon previous interactions, fostering a more intuitive and productive AI experience. Discover how this advancement streamlines workflows and unlocks new levels of collaboration.
Tencent's Team Memory shares AI agent memory across a team — with no governance yet for when it's wrong
Tencent’s Agent Memory, now extended with the beta launch of Team Memory, addresses a critical gap in AI agent technology: enabling teams of agents to leverage a shared context. This open-source project, already trending No. 1 on GitHub, moves beyond individual agent memory, offering a shared hub with reusable assets like Chat Memory, Skill, LLM-Wiki, and Code-Graph.
Asana's AI agents share memory across your company — but not your secrets
Enterprise teams are encountering a common challenge: AI agents capable of responding to prompts but lacking memory and consistency. Asana’s Agentic Work Management (AWM) tackles this, leveraging the company's 18-year-old Work Graph—a comprehensive, graph-based database—to create AI teammates that share knowledge and operate alongside human colleagues. AWM also incorporates robust access controls to safeguard confidential data and dynamically routes prompts to optimize performance, demonstrating a future-focused approach to scalable AI integration, as highlighted by early adopters like FedEx and CoreWeave.
Presentation: Parting the Clouds: The Rise of Disaggregated Systems
The future of cloud databases is shifting. Murat Demirbas’s presentation, "Parting the Clouds: The Rise of Disaggregated Systems," explores this evolution, driven by the need for greater cost efficiency and scalability. Demirbas details how decoupling compute from storage—a concept foreshadowed by classical Paxos—unlocks elastic scaling and robust fault isolation. He analyzes the network tradeoffs and emerging self-assembling database designs shaping this transformative architecture. For deeper insight into related trends, explore "AWS Lambda's Self-Managed Code Storage" and its implications.