AI Agents

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Anthropic’s 10 AI Agents are Redefining Finance Work

The headline may sound extreme here. Of course, Claude is not replacing CFOs tomorrow morning. But with the debut of Claude’s new Financial Services Solution by Anthropic, it has clearly moved to a new direction in the world of finance, one where AI does way more than crunch numbers or explain stuff. Think specific financial […]

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A Groq-Powered Agentic Research Assistant with LangGraph, Tool Calling, Sub-Agents, and Agentic Memory: Lets Built It

In this tutorial, we build a Groq-powered agentic research workflow that runs directly using Groq’s free OpenAI-compatible inference endpoint. We configure LangChain’s ChatOpenAI interface to work with Groq by setting the Groq API key and base URL, allowing us to use fast hosted models such as llama-3.3-70b-versatile for tool-based reasoning. We then connect the model

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CopilotKit Introduces Enterprise Intelligence Platform That Gives Agentic Applications Persistent Memory Across Sessions and Devices

Most agentic applications today have a memory problem. Every time a user opens a new session, the agent starts from zero. There is no recollection of what was discussed, what workflows were in progress, or what decisions were already made. The session ends, and everything disappears. For dev teams shipping production agentic applications, the only

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Anthropic’s 10 AI Agents are Redefining Finance Work

The headline may sound extreme here. Of course, Claude is not replacing CFOs tomorrow morning. But with the debut of Claude’s new Financial Services Solution by Anthropic, it has clearly moved to a new direction in the world of finance, one where AI does way more than crunch numbers or explain stuff. Think specific financial

Anthropic’s 10 AI Agents are Redefining Finance Work Read More »

From predicting risk to changing behavior: Rethinking medication adherence with agentic AI

Medication non‑adherence remains one of health care’s most persistent and expensive challenges. Across chronic conditions, only about half of patients take medications as prescribed, even when effective treatments are available. The consequences are significant: disease progression, avoidable hospitalizations, increased mortality, and hundreds of billions of dollars in preventable health care […] The post From predicting

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Google tests Remy AI agent for Gemini as focus turns to user control

Google is testing Remy, a new AI personal agent for Gemini, according to Business Insider. The tool is designed to take actions for users in work and daily tasks. Remy is being tested in a staff-only version of the Gemini app. The report said it reviewed an internal document and spoke with two people familiar

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Top Search and Fetch APIs for Building AI Agents in 2026: Tools, Tradeoffs, and Free Tiers

Web search and content retrieval have quietly become the most critical infrastructure decisions in AI agent development. An agent without reliable access to live web data is effectively operating on stale knowledge — a hard limitation for any production deployment handling research, lead enrichment, competitive intelligence, or real-time monitoring. In 2026, the ecosystem of search

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Google made agentic AI governance a product. Enterprises still have to catch up.

Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it made agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex AI

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15+ Solved Agentic AI Projects with Github Links

Projects are the bridge between understanding AI and actually building with it. While the last couple of years were dominated by generative models, the shift now is toward systems that can think in steps, use tools, and act with a clear objective. This guide brings together over 15 solved agentic AI projects designed to help

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Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation

In this tutorial, we build a multi-agent workflow for biological systems modeling and explore how different computational components work together inside one unified systems biology pipeline. We generate synthetic biological data, analyze gene regulatory structure, predict protein-protein interactions, optimize metabolic pathway activity, and simulate a dynamic cell signaling cascade, all within a Colab environment that

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