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Category: agentic AI

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Can Coding Agents Improve Themselves? Researchers from University of Bristol and iGent AI Propose SICA (Self-Improving Coding Agent) that Iteratively Enhances Its Own Code and Performance
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Can Coding Agents Improve Themselves? Researchers from University of Bristol and iGent AI Propose SICA (Self-Improving Coding Agent) that Iteratively Enhances Its Own Code and Performance

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The development of agentic systems—LLMs embedded within scaffolds capable of tool use and autonomous decision-making—has made significant progress. Yet, most […]

Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy, Latency, and Cost
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Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy, Latency, and Cost

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OpenPipe has introduced ART·E (Autonomous Retrieval Tool for Email), an open-source research agent designed to answer user questions based on […]

How to Create a Custom Model Context Protocol (MCP) Client Using Gemini
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How to Create a Custom Model Context Protocol (MCP) Client Using Gemini

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In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of […]

A Coding Guide to Different Function Calling Methods to Create Real-Time, Tool-Enabled Conversational AI Agents
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A Coding Guide to Different Function Calling Methods to Create Real-Time, Tool-Enabled Conversational AI Agents

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Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply […]

Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories
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Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories

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Devin AI recently introduced DeepWiki, a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using […]

Researchers from Sea AI Lab, UCAS, NUS, and SJTU Introduce FlowReasoner: a Query-Level Meta-Agent for Personalized System Generation
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Researchers from Sea AI Lab, UCAS, NUS, and SJTU Introduce FlowReasoner: a Query-Level Meta-Agent for Personalized System Generation

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LLM-based multi-agent systems characterized by planning, reasoning, tool use, and memory capabilities form the foundation of applications like chatbots, code […]

Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems
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Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems

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As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows correspondingly. Recognizing this, Microsoft’s AI […]

Building Fully Autonomous Data Analysis Pipelines with the PraisonAI Agent Framework: A Coding Implementation
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Building Fully Autonomous Data Analysis Pipelines with the PraisonAI Agent Framework: A Coding Implementation

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In this tutorial, we demonstrate how PraisonAI Agents can elevate your data analysis from manual scripting to a fully autonomous, […]

Implementing Persistent Memory Using a Local Knowledge Graph in Claude Desktop
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Implementing Persistent Memory Using a Local Knowledge Graph in Claude Desktop

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A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It […]

Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries
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Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries

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Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the […]

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