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Browsing: Agentic
Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product…
Alibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads
Qwen3-Max-Thinking is Alibaba’s new flagship reasoning model. It does not only scale parameters, it also changes how inference is done, with explicit control over thinking depth…
Moonshot AI Releases Kimi K2.5: An Open Source Visual Agentic Intelligence Model with Native Swarm Execution
Moonshot AI has released Kimi K2.5 as an open source visual agentic intelligence model. It combines a large Mixture of Experts language backbone, a native vision…
Build reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpay’s journey on GenAI evaluation
This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations…
GitHub has opened up the internal agent runtime that powers GitHub Copilot CLI and exposed it as a programmable SDK. The GitHub Copilot-SDK, now in technical…
A Coding Guide to Anemoi-Style Semi-Centralized Agentic Systems Using Peer-to-Peer Critic Loops in LangGraph
In this tutorial, we demonstrate how a semi-centralized Anemoi-style multi-agent system works by letting two peer agents negotiate directly without a manager or supervisor. We show…
This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering…
How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, Tool Use, and Automated Quality Checks
In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that…
Companies confess their agentic AI goals aren’t really working out – and a lack of trust could be why
Business risks, transparency, and compliance are the biggest hurdles for agentic AI deploymentNearly half of organizations are running AI agents in silosAllowing AI to adapt to…
Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce
Can AI shopping agents move beyond sending product links and actually complete trusted purchases end to end inside a chat? Universal Commerce Protocol, or UCP, is…
