AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Four Agentic AI Memory Systems for Smarter LLMs
An overview of four third-party projects—Graphiti, Hindsight, Mem0, and Supermemory—that expand how AI agents and LLMs can draw on facts, documents, and conversations to deliver results through persistent memory capabilities.
Questions Remain About Estonia's State ID System and AI Agent Exposure
Estonia's plan to issue state-backed digital identities to AI agents raises major security concerns. A security & compliance analyst breaks down the administrative, cryptographic, and operational risks.
Slack and The 18 Best AI Platforms in 2026 – Tested & Reviewed | Lindy
Salesforce is transforming Slack into an agency powerhouse by integrating CRM, Tableau, and Data 360 through the Model Context Protocol (MCP), enabling seamless conversational workflows.
Every Company an AI Lab: Why Investors Valued Prime Intellect at $1B to Open-Source Agentic Training
Prime Intellect raised $130 million to help enterprises bypass closed frontier labs by training specialized, reinforcement-learning-driven AI agents on their own data and infrastructure.
OpenAI is sunsetting its AI-powered browser after less than a year. But it's moving some agentic browsing features to its ...
OpenAI is sunsetting Atlas, the standalone AI browser launched just nine months ago. Rather than kill its web ambitions entirely, it’s embedding Atlas’s most useful agentic capabilities directly into ChatGPT — first in Chrome and then in the desktop app, turning your browser into a co-pilot.
The Agentic Silicon Myth: Why 'AI CPUs' Are Just Well-Optimized General-Purpose Processors
An analysis of the marketing push behind so-called 'agentic CPUs' from industry giants, arguing that these processors are evolutionary improvements in datacenter efficiency rather than a new architectural paradigm.
Beyond Prompts: The Reality of 'Loop Engineering'
'Loop engineering' is the newest buzzword in AI, promising to replace manual prompting with autonomous agentic workflows. But is it a breakthrough, or just a new incentive to consume more tokens? We explore the transition to agentic AI, the hype, and the hard engineering realities—like data governance and human oversight—that actually define successful automation.
Microsoft SkillOpt: Training Frozen LLM Agents with Text-Space Optimization and Validation-Gated Edits
Microsoft's SkillOpt treats natural-language skill documents as the trainable state of frozen LLM agents—training procedures, not weights—via trajectory-driven edits and held-out validation gates. This text-space optimization bypasses fine-tuning to deliver reproducible agentic upgrades.
The "Five-Character Fix": Decoding the Lighthouse Agentic Browsing Audit's llms.txt Requirement
A detailed analysis of how Chrome's new Lighthouse Agentic Browsing audit parses llms.txt, why failing the audit doesn't mean your content is bad, and how a simple formatting tweak enables a clean pass.
Anthropic's Sonnet 5: A More 'Agentic' Mid-Sized Model
Anthropic has released Sonnet 5, their latest mid-sized AI model, emphasizing enhanced agentic capabilities, cost-effectiveness, and refined safety for complex, long-horizon tasks.
Beyond Live Testing: How Qwen-AgentWorld Uses Environment Simulation to Train Resilient Agents
Alibaba's new open-weight Qwen-AgentWorld models simulate the behavior of complex environments like Linux terminals, Android, and MCP, allowing developers to inject edge cases on demand and train agents without sandboxes.
Why 61% of Multi-Location Brand CMOs are Stuck—and How an Orchestration Layer Unlocks Real AI ROI
61% of CMOS say local marketing is too complex — here's how an AI orchestration layer, using Uberall’s UB-I agent and the four pillars of Location Performance Optimization (LPO), can restore search visibility, deliver real-time ROI tracking, and automate GBP management at scale.