#AI agent building
3131 related articles
·3 min
Building a Local AI Agent Architecture: From Scattered Scripts to Your Personal Jarvis
A practical guide to consolidating scattered automation scripts into a local AI Agent hub. Covers Function Calling, Ollama+Qwen2.5 deployment, tool orchestration architecture, and a complete implementation roadmap.
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·3 min
Building a GitHub Code Review Bot from Scratch: A Hands-On Guide to AI Agent Automation
A detailed guide on building a GitHub code review bot from scratch, covering cloud deployment, secure sandboxes, Vercel AI SDK, and multi-agent collaboration for automated development workflows.
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·3 min
Building an AI Agent from Scratch: A Full Development Process Retrospective and Pitfall Guide
A complete guide to building AI Agents from scratch based on real developer experiences: task selection, tool comparison (no-code vs frameworks vs hand-written), stability challenges, and evaluation criteria.
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·3 min
Ollama + Qwen-Agent: Building a Local Private AI Assistant — From Deployment to Security Best Practices
A complete guide to building a local private AI assistant with Ollama and Qwen-Agent. Covers RAG knowledge integration, voice interaction, and permission isolation for a secure local AI Agent architecture.
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·4 min
FlowTask 2.0: Building a Unified Enterprise Memory Layer for AI Agents
FlowTask 2.0 proposes a "Company Brain" that unifies data from Email, Slack, WhatsApp and more to provide real-time enterprise context for AI Agents, reducing repetitive context-feeding costs.
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·3 min
Athena: One-Click AI Orchestrator Agent for Building Ready-to-Operate E-commerce Businesses
Shoplazza launches Athena, an AI orchestrator agent that topped Product Hunt. It covers the full e-commerce chain—store setup, product sourcing, logistics, and ad campaigns—enabling solo entrepreneurs to build truly operational cross-border businesses.
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·2 min
Deploying an iMessage AI Assistant on Raspberry Pi: Building a Home-Resident Smart Agent
iMessage Hermes is an open-source project deploying AI agents on Raspberry Pi, enabling iMessage and SMS interaction via real phone numbers. A deep dive into its architecture and potential.
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·3 min
The ISNAD Framework: Building a Trust Verification Layer for Multi-Agent AI Systems Using a Millennium-Old Scholarly Tradition
The ISNAD framework adapts Islamic chain-of-transmission verification to build a trust layer for multi-agent AI systems, focusing on claim verification over agent authentication to combat hallucinations and silent failures.
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·4 min
LangChain Guardrails Explained: Building Safe and Controllable AI Agents
A detailed guide to LangChain Guardrails covering layered ecosystem architecture, middleware implementation, deterministic and model-driven protection for building production-grade secure AI Agents.
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·5 min
WebMCP in Practice: Building Browser AI Agent Tools & DevTools Debugging Guide
A detailed guide to Google's WebMCP standard proposal, covering imperative and declarative tool building, smart home and car configuration demos, and Chrome DevTools debugging for AI agent tools.
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·3 min
Building AI Agents with Coze: From Beginner to Multi-Agent Collaboration
Coze is ByteDance's homegrown agent-building platform. This article explains getting started with Coze, comparison with Dify, its skill system, workflow orchestration, and multi-agent collaboration.
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·3 min
Spring AI Alibaba Graph in Practice: Building a Full-Process HR Recruitment Agent
A detailed guide on building a full-process HR recruitment Workflow Agent with Spring AI Alibaba Graph, covering resume parsing, multi-dimensional screening, tiered questions, human-in-the-loop, and state rollback.
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·3 min
Pi Agent Configuration Guide: Building Your Own AI Coding Assistant
A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.
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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·3 min
AI Agent in Action: Building a Local Netlist Analysis Plugin for JLCEDA from Scratch
How a Bilibili creator used AI Agent, MCP, and Playwright to build a JLCEDA local netlist analysis plugin from scratch—covering features, setup, and the full Agent-driven dev process.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·2 min
Dependency Drift in Production AI Agents: Detection, Response, and Building Resilient Systems
AI Agents in production face systemic dependency drift risks — model updates silently change outputs and silent failures are hard to detect. Learn detection strategies, hidden costs, and engineering practices.
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·3 min
Coze Expert Agent: A Complete 5-Step Guide to Building an AI Collaborative Team
Learn how to build a reusable AI work team in 5 steps using Coze Expert Agents — create agents, set up projects, invite members, and assign tasks efficiently.
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·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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