Learning to Share: Selective Memory for Efficient Parallel Agentic Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fioresi, Joseph, Kulkarni, Parth Parag, Vayani, Ashmal, Wang, Song, Shah, Mubarak
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis
by: Vayani, Ashmal, et al.
Published: (2026)

NAAMSE: Framework for Evolutionary Security Evaluation of Agents
by: Pai, Kunal, et al.
Published: (2026)

Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems
by: Yang, Shuhua, et al.
Published: (2026)

Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
by: Song, Zifan, et al.
Published: (2025)

SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems
by: Chillara, Varun, et al.
Published: (2026)

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
by: Zhang, Yao, et al.
Published: (2025)

Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective
by: Wadlom, Noppanat, et al.
Published: (2026)

TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
by: Tan, John Chong Min, et al.
Published: (2024)

Interpreting Agentic Systems: Beyond Model Explanations to System-Level Accountability
by: Zhu, Judy, et al.
Published: (2026)

KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
by: Shi, Xiangyu, et al.
Published: (2025)

SafeAgent: A Runtime Protection Architecture for Agentic Systems
by: Liu, Hailin, et al.
Published: (2026)

Agentic Federated Learning: The Future of Distributed Training Orchestration
by: Jarczewski, Rafael O., et al.
Published: (2026)

Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems
by: Moshkovich, Dany, et al.
Published: (2025)

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
by: Gosmar, Diego, et al.
Published: (2025)

MedDCR: Learning to Design Agentic Workflows for Medical Coding
by: Zheng, Jiyang, et al.
Published: (2025)

Learning to Lead Themselves: Agentic AI in MAS using MARL
by: Kamthan, Ansh
Published: (2025)

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
by: Wu, Shanglin, et al.
Published: (2026)

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations
by: Liu, Bochao, et al.
Published: (2026)

The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems
by: Nakajima, Yohei
Published: (2026)

AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems
by: Mulian, Hadar, et al.
Published: (2026)

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
by: Moshkovich, Dany, et al.
Published: (2025)

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
by: Yang, Wei, et al.
Published: (2025)

Episodic Memory in Agentic Frameworks: Suggesting Next Tasks
by: Fiorini, Sandro Rama, et al.
Published: (2025)

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web
by: Nie, Xiaohang, et al.
Published: (2026)

Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems
by: Habiba, Mansura, et al.
Published: (2025)

Agentifying Agentic AI
by: Dignum, Virginia, et al.
Published: (2025)

EnvX: Agentize Everything with Agentic AI
by: Chen, Linyao, et al.
Published: (2025)

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
by: Gosmar, Diego, et al.
Published: (2026)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)

Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems
by: Shi, Xi, et al.
Published: (2026)

Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems
by: Rosen, Josh, et al.
Published: (2026)

Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)

Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
by: Gosmar, Diego, et al.
Published: (2026)

Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
by: Xu, Hongwei
Published: (2026)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023)

City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification
by: Liu, Rui, et al.
Published: (2026)

AI Agent Systems for Supply Chains: Structured Decision Prompts and Memory Retrieval
by: Yoshizato, Konosuke, et al.
Published: (2026)

Co-Director: Agentic Generative Video Storytelling
by: Song, Yale, et al.
Published: (2026)

Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling
by: Wong, Jeffrey T. H., et al.
Published: (2026)

Modeling Response Consistency in Multi-Agent LLM Systems: A Comparative Analysis of Shared and Separate Context Approaches
by: Helmi, Tooraj
Published: (2025)