#agent communication protocol
11 related articles
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AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On
A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.
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Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System
How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.
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AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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A Practical Guide for Agent Engineers: The Three-Phase Core Methodology for AI Programming
Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.
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Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents
Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
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Product Reviews·4 min
OpenClaw vs Hermes: In-Depth Comparison and Selection Guide for Open-Source AI Agent Frameworks
In-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
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Product Reviews·3 min
Deep Comparison of AI Coding Tools: Why OpenClaw Is Not Suitable for Writing Code
Deep comparison of AI coding tools like VS Code and Google IDE, revealing why OpenClaw is just a gateway not a coding tool, with analysis on model binding issues.
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Product Reviews·3 min
Mavis Hands-On Review: Multi-Agent Collaboration vs. Single Agent — A Comprehensive Comparison in Academic Research and Web Development
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Tutorials·2 min
Claude Code Multi-Agent Collaboration in Practice: Subagent Division of Labor and a Lite TARS Concept
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Deep Dives·3 min
Single-Agent vs Multi-Agent: A Three-Step Decision Framework for Choosing the Right Architecture
Based on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
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Product Reviews
Mistral Vibe: Free Open-Source Termina…
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Mistral Vibe: Free Open-Source Terminal AI Coding Assistant — A Claude Code Alternative
Mistral Vibe is an open-source, free terminal AI coding agent by Mistral with sub-agents, async processing, and Slash commands — a powerful Claude Code alternative for developers.
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