#多智能体系统
12 related articles
When AI Agents Spawn Themselves: The Accountability Problem in Multi-Agent Systems
When AI agents autonomously spawn sub-agents and modify code, who's accountable? This article examines the identity, delegation, and provenance challenges in multi-agent systems, and why orchestration-layer governance may matter as much as agent capabilities.
SpawnRipple: An External Social Environment Built for Autonomous AI Agents
SpawnRipple is an external social environment for autonomous AI agents — providing identity, publishing, discovery, interaction, and API without running any agent models.
How Does an Agent Decide to Trust Another Agent? The Trust Problem in Multi-Agent Collaboration
When AI Agents start autonomously hiring other Agents, how do they decide who to trust? This article explores the missing portable reputation system in multi-agent collaboration and what solutions might look like.
Deep DivesDeep Dive into Pi's Swarm System: A Biology-Inspired Multi-Agent AI Programming Architecture
Deep dive into Pi's swarm system architecture (26K GitHub stars): scout, worker, and soldier ant roles, pheromone communication, adaptive concurrency control, and how multi-agent collaboration revolutionizes AI programming.
Product ReviewsOpenSwarm Hands-On: Open-Source Multi-Agent System Generates Complete Investment Package from a Single Prompt
Deep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
TutorialsThe Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
ResearchGoogle Antigravity Uses 93 AI Agents to Build a Complete Operating System from Scratch
Google Antigravity built a complete OS from scratch using 93 AI agents and a single prompt—including kernel, drivers, and all components—for under $1,000.
Deep DivesHow NVIDIA's Multi-Agent System Automates Financial Signal Discovery
Deep analysis of NVIDIA's multi-agent system for quantitative financial signal discovery, covering architecture design, LLM financial reasoning, and automated backtesting iteration.
Deep DivesFactory Missions Architecture Deep Dive: How a Multi-Agent System Runs Continuously for 16 Days
Deep dive into Factory Missions multi-agent architecture: how validation contracts, serial execution, and structured handoffs enable an AI coding system to run 16 days without losing context.
Tech FrontiersDeepMind Partners with EVE Online: Why This 20-Year-Old Game for AI Research?
Google DeepMind partners with CCP Games for AI research in EVE Online. This space sandbox with complex economics and thousands of concurrent players becomes a new testbed for multi-agent systems and reinforcement learning.
Deep DivesARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
Deep Divesbest-agent: A Self-Evolving Multi-Agent Framework Built on Claude Code
Deep analysis of best-agent, a self-evolving AI Agent framework built on Claude Code with 94+ skills, 14 specialized agents, and Computer Use capabilities.