#AI Agent
1122 related articles
A 6-Step Framework for AI Agent Development: From Beginner to Real-World Deployment
A complete 6-step AI Agent development framework — from tool use and prompt engineering to large-scale production deployment — to help beginners avoid common pitfalls.
AI Agent Learning Roadmap: From Fundamentals to Real-World Practice
A structured AI Agent learning roadmap covering Fundamentals, Advanced, and Hands-On Practice — including Prompt engineering, RAG, multi-agent collaboration, and tool calling.
AI Agent + Vue3 in Practice: A Complete Guide to Building an Intelligent Conversation App
A full tutorial on building an AI chat app with Coze agents and Vue3/TypeScript/Pinia, with differentiated learning paths for AI trainers and frontend devs.
SupportMind AI: Solving AI Customer Support's Context Problem with Persistent Memory
SupportMind AI is a Hindsight-powered AI support agent with persistent memory across sessions. Learn how its four-step workflow solves the context-loss problem in traditional AI customer support.
Hindsight: An Open-Source Long-Term Memory Solution for AI Agents
Hindsight is Vectorize's open-source long-term memory solution for AI Agents. It uses Retain, Recall, and Reflect to build a persistent cross-session memory bank for Agents.
Can Emotional Manipulation Make AI Work Better? One Developer's Controversial Experiment
A Reddit developer asks: is emotionally manipulating an AI Agent ethical? We explore why emotional prompts work, the ethics behind them, and the real limits of prompt engineering.
White-Label AI Agents in Practice: Opportunities and Pitfalls of Connecting Hermes to Zoho
A developer shares real-world lessons on white-labeling Hermes AI Agent: platform dependency risks, post-launch instability, and the challenges of integrating Zoho CRM via MCP protocol.
Vex: A GitOps Skill Version Manager Built for AI Agents
Vex is an open-source GitOps skill version manager for AI agents — treating memory as versioned assets with auto-branching, rollback, and MCP support for Claude Desktop and Cursor.
Semos.ai: The AI Management Assistant Built for Managers
Semos.ai Manager Agents is an AI assistant built for managers that learns from meetings to proactively surface overdue feedback, team recognition, and conflict resolution. Ranked #4 on Product Hunt with 154 votes.
Is a Self-Hosted AI Agent Beginner Course Worth Enrolling In? Advice for Newcomers
A Berlin AI beginner asks Reddit about a self-hosted AI Agent course. We break down the value of self-hosting, Hermes open-source models, and practical tips for newcomers deciding whether to enroll.
AI Coding Agents Can Write the Code. But Who Controls What Happens Next?
AI coding agents can write code autonomously — but who controls what happens after? This article explores runaway agent risks and the case for an engineering control plane covering identity, permissions, verification, and human approval gates.
Should AI Agents Have Version Control and Signing? A Practical Guide to OCI Packaging
Should AI Agents have version control and signing like models? This article explores packaging Agents as OCI artifacts using KitOps — covering prompts, MCP configs, skills, and policies — for traceable, tamper-proof governance.
Agent Engineering in Practice: 10 Key Steps to Building an Intelligent Agent from Scratch
From requirements to deployment, this guide breaks down the complete Agent-building process into 10 engineering steps — covering architecture, tools, Skills, memory, prompts, testing, and monitoring.
AI Agent Learning Roadmap for Beginners: Four Stages from Zero to Employment
How to break into AI Agent development from scratch? This article outlines a four-stage roadmap covering LLM boundaries, Prompt Engineering, RAG, tool calling, and workflow orchestration.
Career Transition Guide to AI Agent Engineering: From API Calls to Production-Ready Systems
Want to become an AI Agent engineer but only know how to call APIs? This guide covers the 3 skills companies actually test, RAG, function calling, and how to bridge the gap from demo to production.
AI Gateway vs. MCP Gateway: How to Define the Boundary Between Two Architectural Layers
Should you use an AI Gateway or MCP Gateway when running multiple Agents and MCP servers? This article breaks down responsibility boundaries, tool selection trade-offs, and log observability for Agent infrastructure.
FAB Financial Due Diligence Benchmark: Can AI Agents Handle Financial Due Diligence?
FAB benchmark by ex-EY team tests AI Agents on financial due diligence. Agents can locate facts but struggle with end-to-end analysis. Open-sourced on GitHub & Hugging Face.
Building a Reporting Agent: Structured Analysis Tools or LLM-Generated SQL?
Structured analysis tools or LLM-generated SQL for a reporting Agent? This article analyzes architectural trade-offs, context management strategies, and correctness challenges like bad joins and duplicate counting.
The Memory Paradox in AI Decision Systems: Teaching Agents Not to Blindly Trust Past Experience
ED Resolve treats AI memory as evidence, not instruction — using applicability checks, constraint validation, and simulation to prevent agents from blindly trusting past experience.
Hermes Agent Hands-On: Run Local AI on Any Computer with One Click
How do you run local AI with one click? This hands-on with Hermes Agent covers hardware expectations, Qwen3 model deployment, and when to use local vs. cloud.