21:00
Introducing Loom: agent memory that keeps up with your code
Loom gives coding agents shared memory and a code index grounded in the repository, so each session can build on what the last one learned.
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AI coding / 01AnthropicAnthropic upgrades Claude Code Projects to run parallel AI workers
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Anthropic upgrades Claude Code Projects to run parallel AI workers
Hacker News · AI热门原文Products & applications / 02Architecture patterns for fast session startup on Amazon Bedrock AgentCore runtimeAWS Machine Learning Blog
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Architecture patterns for fast session startup on Amazon Bedrock AgentCore runtime
AWS Machine Learning BlogCompute & infrastructure / 03b12362llama.cpp releases
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KiroCoding & developmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首EEvoMapAgents & automationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首MMemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首AAI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首OOpen DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首JJAXModels & infrastructureJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首UUdacity AI学院Education & languagesUdacity AI Academy is the gateway to AI courses and learning paths, covering machine learning, deep learning, computer vision, natural language processing, and AI product management, with courses and project-based training available at both beginner and advanced levels.
待评分 · 分类列表推荐MMeta AI助手Assistants & searchMeta's free AI chat assistant
待评分 · 分类列表推荐RRowsData & analyticsRows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.
待评分 · 分类列表推荐ZZoom Workplace is Zoom’s team collaboration platform, integrating video conferencing, chat, calendars, and documents, and leveraging built-in AI to organize discussions, draft messages, and track follow-up tasks.
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1931 published storiesDatabases & vector search · News · 56 storiesClear filters ×
2026-11-13
Follow the timeline17:32
SET allow_preview_features = 1: Self-service previews in ClickHouse Cloud
ClickHouse Cloud now has a Previews page where anyone can discover preview features, enable some themselves, join waitlists for others, and send feedback, with API support for automation.
2026-11-12
Follow the timelineLocal Analytics Doesn’t Need a Database Server
From interactive maps to graph exploration, DuckDB makes it possible to analyze data without a database server. Ilya Boyandin shares how this approach led to SQLRooms, a toolkit for building analytics applications that bring data, visualizations, and AI-assisted analysis together on the user’s machine.
2026-11-11
Follow the timeline08:00
Bring high-performance analytics to your lakehouse with ClickHouse and Amazon S3 Tables
Connect ClickHouse to Amazon S3 Tables to query Iceberg data in place, transform retail analytics, and write reusable results back for dashboards and AI agents.
2026-11-10
Follow the timeline08:00
Ducks in a Column
DuckDB is fast among other reasons because it stores data by column, so a query reads only the columns it names. This post covers DuckDB features that take advantage of that design choice: querying files in place, column-level SQL, aggregation shortcuts, window functions, ASOF joins, and writing well-organized Parquet.
07:21
Why Is AI Slop So Frustrating to Read?
Article URL: https://zonderlabs.com/slop Comments URL: https://news.ycombinator.com/item?id=50433799 Points: 20 # Comments: 5
01:00
Announcing ClickHouse Observability - fully managed observability on ClickHouse Cloud
Introducing ClickHouse Observability: fully managed observability with the speed and scale of ClickHouse. Just send telemetry; we'll handle the rest. Plus, build the observability experience you've always wanted with a simple prompt in Observability Apps.
01:00
The observability UI as we know it is dead. So what comes next?
Your observability UI shouldn't limit the questions you can ask. Explore how ClickHouse Observability Apps turns a prompt into custom investigation experiences, why SQL makes it possible, and what we still need to get right.
00:59
Introducing ClickHouse Security in private preview, built on RunReveal
ClickHouse Security, an agentic SIEM built on RunReveal and ClickHouse Cloud, is now in private preview, with AI agents, 100+ integrations and built-in detections running on your own ClickHouse service.
00:57
Langfuse launches AI Gateway
One open source entry point for all AI usage in your company. See every model call, who made it and what it cost, natively traced in Langfuse.
00:56
ClickHouse Managed Postgres goes GA and Xata acquisition brings agentic capabilities to the service
ClickHouse Managed Postgres, our NVMe-backed Postgres service natively connected to ClickHouse, is generally available, and we're acquiring Xata to add instant branching, cloning and scale-to-zero for developers and AI agents.
2026-11-07
Follow the timeline00:16
What I learned from a month with WalShadow on ClickHouse Managed Postgres
Hidehiko ASAHI shares a month of WalShadow private-preview testing, comparing replication latency with ClickPipes and checking data correctness, schema changes, and recovery.
2026-11-06
Follow the timeline22:59
How Infinitas Learning uses ClickHouse Managed Postgres to process billions of events for 1.6M unique learners
Infinitas Learning runs transactions for 1.6 million learners on ClickHouse Managed Postgres and serves real-time analytics to teachers from ClickHouse Cloud, where distributed cache cut P99 latency from about 13 seconds to 410 milliseconds.
00:40
Oracle wants to pull stalled AI agents out of demo mode and into production
Companies want AI agents faster than they can build the AI architecture to run them. Most can put together a convincing demo. Far fewer can move agents into production without exposing data, hurting uptime or blowing their budgets. That gap is pushing database providers to rethink what a data platform for agents has to deliver. […] The post Oracle wants to pull stalled AI agents out of demo mode and into production appeared first on SiliconANGLE.
00:25
Same model, better answer: Enterprise data is what turns generic AI into a business tool
Generic AI models can write SQL, but they don’t know a company’s orders, customers or revenue definitions. Now, Oracle Database aims to give AI agents the context to move a stalled order forward. But that shift raises questions about complexity, lock-in and security as AI agents start acting on live transactions. Oracle Corp.’s answer is […] The post Same model, better answer: Enterprise data is what turns generic AI into a business tool appeared first on SiliconANGLE.
2026-11-05
Follow the timeline04:22
Oracle connects AI-driven testing with a new approach to database security
Frontier AI models that uncover software flaws by the hundreds are forcing database providers into larger, faster patch cycles, and real application testing is becoming the safeguard that keeps those fixes from breaking production systems. The same AI wave is also undermining security rules written into applications. Oracle Corp. has responded on two fronts, hardening […] The post Oracle connects AI-driven testing with a new approach to database security appeared first on SiliconANGLE.
03:39
Customers are pulling data back into the Oracle database as agents demand real-time access
A shared semantic layer is fast becoming the dividing line between lakehouses built for reporting and those built for artificial intelligence. As AI agents join human analysts in querying corporate data, enterprises need platforms that make sense of information scattered across clouds, formats and rival systems. Oracle Corp. has spent the past year rebuilding its […] The post Customers are pulling data back into the Oracle database as agents demand real-time access appeared first on SiliconANGLE.
01:52
Fencing a Postgres primary that might still be alive
Promoting a standby doesn't stop the old Postgres primary from taking writes. Here's how the control plane behind ClickHouse Managed Postgres fences it on bare metal, AWS and GCP, and why the design is fail-open.
2026-10-28
Follow the timeline08:00
The new cost-based join optimizer with reordering support for non-inner joins
ClickHouse’s new exhaustive cost-based join optimizer safely reorders inner, outer, semi, and anti joins to find the cheapest valid plan.
00:57
The Agentic Analytics Benchmark: ranking tables and labeling failures with Jev
Jev ranks warehouse tables and labels agent failures in under a second, but adding retrieval hints leaves accuracy flat across 20 models on the Agentic Analytics Benchmark.
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