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agents

16 articles in this category

aiagentspython

AI Agents from Scratch Part 6: Complete Agent & Best Practices (Research Report Generator)

The finale! Run your complete Research Report Generator, learn best practices, explore advanced memory strategies, and discover how to extend your agent with new capabilities.

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aiagentspython

AI Agents from Scratch Part 5: The Agent Core & Loop (Research Report Generator)

Build the brain of your AI agent! Implement the ReAct loop, system prompts, tool execution, and phase handlers that orchestrate the entire research workflow.

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aiagentspython

AI Agents from Scratch Part 4: Human-in-the-Loop Validation (Research Report Generator)

Keep humans in control of AI agents. Build checkpoints for plan approval, source selection, fact verification, and draft review—so agents stay helpful without going rogue.

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aisoftware-architectureagents

Beyond the Window: Engineering Cognitive Architectures

Why sliding windows and naive RAG failed us, and how we're building the next generation of "thinking" machines using structured memory and metacognition.

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aiagentspython

AI Agents from Scratch Part 3: State Management & Memory (Research Report Generator)

Give your AI agent a memory! Learn short-term vs long-term memory, prevent context overflow, and enable agents to resume interrupted work.

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aiagentspython

AI Agents from Scratch Part 2: Building the Tool System (Research Report Generator)

Give your AI agent superpowers! Build a clean tool system with web search, content extraction, and file operations—the foundation that lets agents interact with the real world.

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aiagentspython

AI Agents from Scratch Part 1: Understanding the ReAct Pattern (Research Report Generator)

Start your journey building AI agents without frameworks. Learn the foundational ReAct pattern that powers modern agents—with a hands-on Research Report Generator example.

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AI NewsAgentsInference

Open Responses: A New Standard for AI Agent Inference

Open Responses, initiated by OpenAI and built by the open source community, aims to address the limitations of the Chat Completion format for agentic workloads.

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AI NewsSoftware ArchitectureAgents

Google’s Eight Essential Multi-Agent Design Patterns

Google released a guide detailing eight multi-agent system design patterns, leveraging their Agent Development Kit for improved scalability and reliability.

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AI NewsLarge language modelsAgents

Intel DeepMath Improves LLM Math Reasoning with Python Executors

Intel’s DeepMath agent, built on Qwen3-Thinking, reduces LLM output length by up to 66% and improves accuracy on math problems by using Python code execution.

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AI NewsAgentsHiring

LinkedIn’s Hiring Assistant: From Prompt Chains to Agentic Systems

LinkedIn’s transition to an agentic Hiring Assistant demonstrates a shift from simple prompt chains to a modular, scalable system, improving recruiter efficiency by automating candidate evaluation.

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AI NewsAgentsMachine Learning

IBM Research Releases CUGA, a Configurable Agent Framework

IBM Research launched CUGA (Configurable Generalist Agent) on Hugging Face, demonstrating strong performance on complex API tasks and web automation.

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AI NewsGoAgents

Google Launches Agent Development Kit for Go

Google’s Go Agent Development Kit (ADK) enables idiomatic Go development for multi-agent systems, supporting rapid MVP creation.

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AI NewsAIAgents

Meta and Hugging Face Launch OpenEnv: Standardizing AI Agent Environments

Meta and Hugging Face launch OpenEnv, an open-source hub for standardizing AI agent environments, enabling safe and scalable development.

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AI Newsagentsgemini

Laravel AI Agent Integration with Telex.im Using Neuron AI and Gemini 2.5 Flash

A Laravel-based AI assistant (Dev Assist) integrated with Telex.im using Neuron AI and Gemini 2.5 Flash for code explanation, generation, and debugging.

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AI NewsArchitecture & DesignAI

AI Agents Evolve: From Assistance to Execution Engines in Enterprise Architecture

A significant shift is occurring in enterprise software architecture as AI agents transition from providing assistance to autonomously executing tasks. This article details the architectural changes, adoption rates, real-world examples, and key considerations for implementing agentic AI, including governance, transparency, and cost management.

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