Four agentic AI memory systems for smarter LLMs
Four open-source projects—Graphiti, Hindsight, Mem0, and others—offer expanded memory capabilities for AI agents and large language models, using techniques like temporal knowledge graphs and multi-st…
Four open-source projects—Graphiti, Hindsight, Mem0, and others—offer expanded memory capabilities for AI agents and large language models, using techniques like temporal knowledge graphs and multi-st…
The integrated development environment (IDE) is being replaced by agentic development environments (ADEs) as AI-powered coding agents take over code writing. Developers now manage multiple agents work…
Microsoft's June 2026 Visual Studio update adds a GitHub Copilot usage window that tracks token consumption in real time under GitHub's new usage-based billing model. The update also introduces trust …
JetBrains announced JetBrains AI for Teams and Organizations, a unified system for agentic software development that connects AI tools with shared context, reusable workflows, and governance. The vend…
JetBrains tested the viral 'Caveman' prompting style for AI coding assistants and found it reduces token usage by only 8.5%, far less than the claimed 65%. The technique trims conversational padding b…
Salesforce's acquisition of Informatica positions trusted context as the new currency for enterprise AI, as organizations shift from experiments to production. The combined strategy integrates Tableau…
Data products standardize raw data sets, warehouse views, and data lake logical views to deliver analytics and AI capabilities, streamlining data pipelines, governance, and management. Experts recomme…
AI agents perform better when using the web's accessibility tree instead of screenshots, reducing latency from 2-5 seconds to under 500ms and cutting token costs by an order of magnitude, according to…
Cloud security in 2026 is being reshaped by rapid adoption of zero-trust architecture and a growing focus on quantum-safe encryption, driven by advanced AI, autonomous agents, and the quantum computin…
The Silicon Data LLM Token Expenditure Index, a measure of daily AI usage spending, has fallen 20% from its May peak to $1.62 per million tokens, signaling a potential slowdown in AI adoption. The dec…
Meta's Chief AI Officer Alexandr Wang announced a forthcoming Muse Spark update, codenamed Watermelon, with major improvements in coding and agentic capabilities, aiming to close the gap with rival AI…
Microsoft launched the Microsoft Frontier Company, a new business focused on AI engineering, with a $2.5 billion investment and 6,000 experts to co-design and deploy AI systems for customers. The comp…
Microsoft released Visual Studio Code 1.127, improving tools for AI agents with generally available browser tools and per-site permissions. The update also introduces session organization and subagent…
AWS increased Amazon Bedrock AgentCore runtime quotas by up to fivefold, raising default concurrent session limits to 5,000 in US East and US West, and interaction rates to 200 tokens per second, to h…
AI-powered tools like GitHub Copilot, Claude Code, and Cursor AI are increasingly used by .NET developers to generate C# code, but experts warn that generated code may contain logic errors, bugs, or s…
Organizations rushing to deploy AI in production are finding that traditional software monitoring tools fail to address AI-specific failures like drift, hallucination, and degradation. Current AI obse…
SnapLogic released MCP Builder, a template-based tool that turns existing integration pipelines into Model Context Protocol (MCP) servers, enabling faster AI operationalization. The tool, announced Ju…
AWS launched a new log analytics engine for Amazon OpenSearch Service that reduces storage costs by 70% and improves price-performance, addressing rising telemetry costs from AI and agentic applicatio…
Microsoft will end support for .NET 8 and .NET 9 on November 10, 2026, urging users to upgrade to .NET 10, an LTS release supported through November 2028. After that date, no security updates or techn…
AI agents suffer from limited memory due to the stateless nature of large language models, but retrieval-augmented generation (RAG) offers a solution by offloading long-term memory to external storage…