This comprehensive compilation organizes the technical reports and publicly available resources for MiroThinker, an advanced open-source research agent system. Currently, MiroMind has released three major technical reports covering MiroThinker 1.0, MiroThinker 1.7, and MiroFlow.Official ResourcesProject WebsitesResourceLinkDescriptionProject Homepagemirothinker.ioOfficial introduction, technical features, model version comparisonsWeb Demodr.miromind.aiInteractive web-based demo for direct testingCompany Pagemiromind.aiMiroMind team introduct...
Posts under the category AI & Machine Learning
Mastering Structured Chat ReAct Agents in LangChain: A Production-Ready Guide to Stable Tool Invocation
Introduction: The Evolution of ReAct Agents in Production EnvironmentsIn the rapidly evolving landscape of large language model (LLM) based agent systems, the ReAct (Reasoning + Acting) paradigm has emerged as a foundational framework for building intelligent agents capable of multi-step task execution. However, not all ReAct implementations are created equal. This comprehensive guide dives deep into LangChain's Structured Chat ReAct agent architecture, contrasting it with the traditional ZeroShot ReAct approach, and provides actionable insi...
Building a Claude Agent from Scratch: Tools, Execution, and the Agent Loop
IntroductionRecently, I discovered an invaluable resource called Learn Claude Code. Despite its name suggesting a guide to using Claude Code, it actually teaches you how to build a nano Claude Code-like agent from the ground up, adding one mechanism at a time through twelve progressive stages.Let me share the link again: https://learn.shareai.run/zh/The website opens with a refreshingly direct statement: All AI programming agents share the same fundamental loop—call the model, execute tools, return results. Production-grade systems layer str...
Building AI Agents from First Principles: A Comprehensive Guide to the Core Agent Loop Architecture
Introduction: Demystifying AI Agent ArchitectureThe rapid emergence of AI coding assistants like Claude Code has sparked widespread interest in understanding how these systems actually work beneath the surface. While marketing materials often emphasize capabilities and use cases, the underlying architecture remains opaque to most developers. This comprehensive guide pulls back the curtain, revealing the elegant simplicity at the heart of all AI programming agents.The fundamental insight is both surprising and empowering: all AI programming a...
Understanding RAG: Comprehensive Guide to Retrieval-Augmented Generation for Enterprise AI
The Interview That Changed EverythingDuring a job interview at a major technology company, the interviewer asked: "How does your project's knowledge base Q&A system work?"The response: "We directly call OpenAI's API, feeding documents into the model for reading."Three seconds of uncomfortable silence followed. The interviewer's furrowed brow signaled the problem—project documentation exceeded 200,000 characters, every request surpassed token limits, and the model couldn't remember interface documentation updated last week.Only after rejectio...
AI's Real Value for Ordinary People: Eight Transformative Scenarios That Matter
When friends ask: "AI is everywhere, but what does it actually do for ordinary people like us?"The answer comes down to three fundamental concepts: fairness, confidence, and possibility.If you're uncertain about AI's practical value in your daily life, these eight real-world scenarios will resonate with your experience.Scenario 1: PhD-Level Personal Tutor, Available 24/7The Situation:Xiao Zhang wants to transition into operations management. Online courses are chaotic and inconsistent. Asking colleagues yields either ignorance or unavailabil...