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Machine Heart
Machine Heart
Jul 21, 2026 · Artificial Intelligence

Can Multi-Agent Systems Be Built Like LEGO? Introducing Agent Primitives for Modular Reuse

The paper proposes Agent Primitives—reusable latent building blocks for multi‑agent systems—that replace hand‑crafted pipelines with modular collaboration patterns, communicate via KV‑Cache to avoid natural‑language bottlenecks, and demonstrate significant accuracy, efficiency, and stability gains across diverse tasks and LLM backbones.

AI researchKV CacheLLM communication
0 likes · 12 min read
Can Multi-Agent Systems Be Built Like LEGO? Introducing Agent Primitives for Modular Reuse
AI Engineering
AI Engineering
Jun 22, 2026 · Artificial Intelligence

How Sakana’s Unconventional AI Orchestrator Fugu Beats Fable 5 in Code Benchmarks

Japanese startup Sakana’s new multi‑agent orchestration system, Fugu, combines publicly available models to deliver code‑generation performance that surpasses closed‑source rivals like Fable 5, offering two versions, detailed benchmark results, qualitative use‑case demos, pricing options, and an analysis of its engineering trade‑offs.

AI orchestrationFuguLLM Engineering
0 likes · 9 min read
How Sakana’s Unconventional AI Orchestrator Fugu Beats Fable 5 in Code Benchmarks
PMTalk Product Manager Community
PMTalk Product Manager Community
Mar 18, 2026 · Product Management

When Your Team Is All Agents: How Product Management Must Evolve

The article analyses why using instant‑messaging groups to orchestrate multiple AI agents cannot scale to dozens or hundreds of agents, proposes a four‑layer ICSE architecture, compares three agent‑to‑agent communication models, and outlines the new governance, design, and roadmap responsibilities that product managers will need to master.

AI AgentsGovernanceICSE architecture
0 likes · 14 min read
When Your Team Is All Agents: How Product Management Must Evolve
Architects Research Society
Architects Research Society
May 7, 2025 · Artificial Intelligence

Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation

The article outlines a five‑layer AI multi‑agent architecture covering hierarchical command chains, human‑in‑the‑loop security barriers, decentralized peer‑to‑peer networks, industrial‑grade pipeline processing, and data‑transformation alchemy, each illustrated with concrete enterprise and autonomous‑driving examples.

AIData ProcessingMulti-Agent Systems
0 likes · 3 min read
Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation
AgentGuide
AgentGuide
Mar 30, 2026 · Artificial Intelligence

What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect

The article explains that multi-agent systems typically operate in three patterns—sequential execution, parallel execution, and an evaluator-optimizer loop—covers when each pattern is appropriate, and offers interview tips on how to discuss these designs effectively.

AI InterviewAgent ArchitectureSequential Execution
0 likes · 3 min read
What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect
AgentGuide
AgentGuide
Apr 14, 2026 · Artificial Intelligence

What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?

MoA (Mixture-of-Agents) is a quality-first multi-agent collaboration mode where multiple large models act as Proposers and an Aggregator merges their diverse outputs, delivering more robust and higher-quality results at the cost of increased latency, making it ideal for high-value, open-ended tasks and extensible via multi-layer aggregation.

AIMixture of AgentsMoA
0 likes · 4 min read
What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?
Data STUDIO
Data STUDIO
Apr 1, 2026 · Artificial Intelligence

Blackboard System: Enabling Dynamic Collaboration Among Expert AI Agents

This article compares a rigid sequential multi‑agent pipeline with a flexible blackboard architecture, showing how shared memory and a dynamic controller let specialist AI agents cooperate opportunistically, obey conditional user instructions, and achieve higher efficiency and instruction‑following scores.

Blackboard SystemLLMLangGraph
0 likes · 21 min read
Blackboard System: Enabling Dynamic Collaboration Among Expert AI Agents
phodal
phodal
Feb 24, 2026 · Artificial Intelligence

How Routa Turns Multi‑Agent AI Coding into an Engineered Collaboration Framework

Routa is an engineering‑focused multi‑agent framework that separates tasks, state, events, and execution into controllable modules, enabling open‑ecosystem AI coding agents to collaborate through structured specifications, event‑driven coordination, and verifiable tool interfaces rather than fragile prompt stitching.

AI collaborationAgent CoordinationRouta
0 likes · 12 min read
How Routa Turns Multi‑Agent AI Coding into an Engineered Collaboration Framework
DaTaobao Tech
DaTaobao Tech
Aug 14, 2026 · R&D Management

Rethinking Collaboration: Insights on Building AI‑Native Teams

The article argues that AI‑driven efficiency gains are limited by fragmented collaboration, proposes a three‑layer "knowledge base + Agent + human" model to replace humans as the sole orchestrators, and details the practical challenges of constructing such knowledge bases in legacy businesses.

AIAI-nativeAgent
0 likes · 20 min read
Rethinking Collaboration: Insights on Building AI‑Native Teams
Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents

openJiuwen’s open‑source JiuwenSwarm implements Coordination Engineering—a full‑stack system comprising Agent Swarm, Swarm Skills, a Skills Hub and self‑evolution—enabling autonomous multi‑agent collaboration, demonstrated by medical, coding, video and game case studies and achieving a 94.2% PinchBench score with 34.8% token savings.

AI AgentsJiuwenSwarmMulti-Agent Collaboration
0 likes · 13 min read
JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents
TechVision Expert Circle
TechVision Expert Circle
Jun 24, 2026 · Operations

Avoid the 5 Hidden Pitfalls When Deploying Enterprise AI Agents (Part 2)

The article analyzes five often‑overlooked pitfalls that emerge when scaling enterprise AI agents to production—mis‑chosen orchestration architecture, lack of tool‑level circuit breaking, state‑splitting among multiple agents, absent evaluation frameworks, and unclear security boundaries—offering concrete causes and practical mitigation strategies.

AI AgentsEvaluation FrameworkLangGraph
0 likes · 13 min read
Avoid the 5 Hidden Pitfalls When Deploying Enterprise AI Agents (Part 2)
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
May 19, 2026 · Artificial Intelligence

Agent‑Driven R&D Efficiency: Exploration and Practice at QECon Shenzhen 2026

At QECon Shenzhen 2026, Xiaohongshu's tech team will present five technical talks that showcase how AI agents are applied to architecture risk analysis, change automation, large‑model load‑testing data construction, end‑to‑end testing, and client‑side performance, illustrating concrete engineering solutions and measurable productivity gains.

AI agentAutomationLLM
0 likes · 13 min read
Agent‑Driven R&D Efficiency: Exploration and Practice at QECon Shenzhen 2026
Geek Labs
Geek Labs
Mar 26, 2026 · Artificial Intelligence

Designing AI Agent Collaboration with a 1300‑Year‑Old Imperial System (12.7k Stars)

Edict (三省六部) is an open‑source AI multi‑agent framework that embeds a 1300‑year‑old Chinese imperial bureaucracy into its workflow, offering built‑in approval, real‑time dashboards, task intervention, and full audit trails, and it has already attracted 12.7k GitHub stars.

AI AgentsEdictMulti-Agent Systems
0 likes · 7 min read
Designing AI Agent Collaboration with a 1300‑Year‑Old Imperial System (12.7k Stars)