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Agent communication

8 articles · Page 1 of 1
Data Party THU
Data Party THU
Jun 15, 2026 · Artificial Intelligence

Beyond Single-Model Limits: How Collaborative Multi-Agent Architecture Drives AI Evolution

The article examines the shortcomings of single-agent AI systems—such as context overload, lack of specialization, and poor scalability—and explains how multi‑agent architectures with coordinated, specialized agents, shared memory, and parallel execution overcome these issues, offering a roadmap for the next generation of AI platforms.

AI architectureAgent communicationMulti-agent systems
0 likes · 8 min read
Beyond Single-Model Limits: How Collaborative Multi-Agent Architecture Drives AI Evolution
Data Party THU
Data Party THU
May 28, 2026 · Artificial Intelligence

Replacing Fragile Monoliths with Multi‑Agent Networks for Stable Productivity

The article explains why single‑agent LLM pipelines are brittle for complex tasks, how mature multi‑agent toolchains enable cooperative or competitive agent designs, and provides concrete communication protocols, task‑decomposition rules, framework comparisons, code samples, and scaling considerations for building robust production AI systems.

AI orchestrationAgent communicationFramework Comparison
0 likes · 29 min read
Replacing Fragile Monoliths with Multi‑Agent Networks for Stable Productivity
AI Engineer Programming
AI Engineer Programming
May 23, 2026 · Artificial Intelligence

Is the A2A Protocol Worth Using? An In‑Depth Technical Review

The article examines the emerging A2A (Agent‑to‑Agent) protocol, tracing its evolution from function calling to MCP and finally A2A, and evaluates its core concepts, security model, task lifecycle, transport options, design guidelines, and operational best practices for building interoperable AI agent systems.

A2AAgent CardAgent communication
0 likes · 15 min read
Is the A2A Protocol Worth Using? An In‑Depth Technical Review
TonyBai
TonyBai
May 9, 2026 · Artificial Intelligence

Why a Top Anthropic Engineer Claims HTML, Not Markdown, Is the Ultimate Language for AI

In the age of powerful AI agents, Anthropic’s Thariq argues that Markdown’s simplicity becomes a limitation, advocating HTML for its superior information density, visual clarity, two‑way interaction, and shareability, while the community debates token costs and editing friction.

AI agentsAgent communicationClaude
0 likes · 11 min read
Why a Top Anthropic Engineer Claims HTML, Not Markdown, Is the Ultimate Language for AI
Ops Development Stories
Ops Development Stories
Mar 1, 2026 · Artificial Intelligence

Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw

This guide explains why a single AI bot becomes inefficient, introduces OpenClaw’s multi‑agent architecture, and provides a step‑by‑step tutorial—including CLI commands, configuration files, and JSON bindings—to set up isolated agents in different Feishu groups that can collaborate through internal communication channels.

AI agentsAgent communicationCLI configuration
0 likes · 12 min read
Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 11, 2025 · Artificial Intelligence

How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks

This article explains how the authors built a multi‑agent framework for the energy domain that splits complex tasks into simple subtasks, uses a planner‑scheduler‑executor pipeline, implements structured communication, memory management, and streaming output to overcome large‑model attention diffusion and improve efficiency and reliability.

Agent communicationTool Invocationstreaming output
0 likes · 23 min read
How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks
Sohu Tech Products
Sohu Tech Products
May 21, 2025 · Artificial Intelligence

Beyond LLM Limits: Function Calling, MCP, and A2A Compared

The article examines the inherent knowledge cutoff of large language models, introduces function calling, Model Context Protocol (MCP), and Agent‑to‑Agent (A2A) as solutions for real‑time data access, compares their architectures, communication patterns, and use cases, and discusses their respective strengths and drawbacks.

A2AAI protocolsAgent communication
0 likes · 17 min read
Beyond LLM Limits: Function Calling, MCP, and A2A Compared