#Multi-Agent Systems

2026

• 08-10 EN

  GRAFT: Global Optimization and Inference-Time Region Grafting for Agentic Workflows

• 08-10 中

  阅读笔记：GRAFT——给智能体工作流做「全局定骨架、局部动手术」的推理时嫁接

• 07-25 EN

  When Does Adding More Agents Actually Help? An Information-Bottleneck Answer

• 07-25 中

  多智能体到底什么时候才有用？一个信息瓶颈视角的答案

• 06-15 EN

  Parallel-Synthesis: Direct KV-Cache Synthesis for Parallel Branches in LLM-Agent Workflows

• 06-15 中

  Parallel-Synthesis：让 LLM 综合智能体直接消费并行分支的 KV 缓存

• 06-01 EN

  AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle

• 06-01 中

  AutoSci：以记忆为中心的全科研生命周期自主智能体系统

• 05-18 EN

  Why Single-Agent LLMs Beat Multi-Agent Systems on Multi-Hop Reasoning — A Budget-Controlled Story

• 05-18 中

  思考预算锁死之后，单 Agent 为什么打过多 Agent —— 阅读笔记

• 05-11 EN

  MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems

• 05-11 中

  MASPO：面向 LLM 多智能体系统的联合提示词优化

• 03-16 EN

  MetaGPT: When LLM Agents Form a Software Company — Multi-Agent Collaboration Done Right

• 03-09 EN

  AutoGen: Microsoft's Framework for Building Multi-Agent Conversations That Actually Work

• 03-09 EN

  Generative Agents: 25 AI Characters Living in a Simulated Town — Believable Human Behavior from LLMs