Top Tweets for #multiAgentSystems
@fchollet @Busabase4agent Shared state only compounds if writes stay attributable and reversible. A structured workspace helps, but I’d still separate read access, proposed changes, and merged state—otherwise several agents can preserve the same mistake more efficiently. #MultiAgentSystems #Auditability
New arXiv manuscript: Scalar communication for bandwidth limited distributed optimization. Read more in https://t.co/JS8wKhNmIK
Paper: https://t.co/nV6iHJb609
#DistributedOptimization #ControlTheory #MultiAgentSystems #EdgeComputing #FederatedLearning
✈️ What if AI agents could plan your next adventure?
Meet and Get hands-on with Himanshu Gupta & Giri Venkatesan, Solace Agent Mesh and build a Multi-Agent Travel Planner at #DevFestNoida 2026! 🤖
📅 10 October | 📍 Exponn Convention
#GoogleDevFest #AI #MultiAgentSystems #Solace

One AI agent's hallucination can influence an entire multi-agent system. Explore semantic blast radius, error propagation, and ways to contain unreliable info.
#multiagentsystems #aihallucinations...Show more

🚀 Agentic AI multiagent systems that plan, collaborate & execute complex tasks autonomously. From Gartner’s 2026 strategic tech trends to enterprise adoption, this is reshaping today’s work.
#AgenticAI #AI #IT #MultiagentSystems
@ishaansehgal @omnaraai Shared memory gets interesting the moment two agents can write different interpretations of the same event. I’d want lineage, writer identity, conflict handling, and revocation semantics alongside the one-line config. #AgentMemory #MultiAgentSystems
:
Not every AI agent should have equal influence.
Reliability should determine influence — not hierarchy.
An agent that performs well today may deserve less influence tomorrow.
The real question: who deserves more influence, and when?
#AI #MultiAgentSystems #Quant

@al3rez Structured artifacts reduce the surface area, but the schema becomes the trust boundary. The next tests I’d want are malicious values in valid fields, oversized artifacts, schema-version drift, and whether provenance survives routing. #MultiAgentSystems #AISecurity
#SpecialIssue #CallForPapers
🔓 Special Issue "Emerging Approaches to Intelligent and Autonomous Systems"
👉 Welcome your submission:
https://t.co/mHPckTMY3i
📅 Submission Deadline: 30 November 2026
#AutonomousSystems #IntelligentRobotics #MultiAgentSystems

Give one agent the same token budget and most multi-agent gains vanish. A worked five-agent pipeline, its token bill, and one test for adding a second agent.
#aiagents #multiagentsystems...Show more

One supervised AI-team example:
Coordinator → Specialists → Reviewer agent → Human approval
Give each role a distinct output. Preserve evidence at every handoff. AI review can still miss errors.
Beginner’s guide: https://t.co/ZyfaFDXkA9
#MultiAgentSystems

More agents create more handoffs, permissions and failure paths. Start with one agent; add a specialist only when its contribution can be tested.
Read the complete guide: https://t.co/ZyfaFDXkA9
#ResponsibleAI #MultiAgentSystems

Learnt a few things about Multi-Agent Systems and got to know about an interesting concept — Ant-Inspired Digital Pheromones 🐜
The idea of using swarm behaviour and pheromone-inspired communication between agents is actually pretty fascinating.#AI #MultiAgentSystems #Artificial

Another paper accepted!
Our work “Does Agent Configuration Matter? An Empirical Study of Process-Level Quality Adaptation in Multi-Agent Requirements Engineering” has been accepted to PROFES 2026.
See you in Sweden 🇸🇪
#PROFES2026 #LLM #MultiAgentSystems #RequirementsEngineering
Powerful AI. Human control. FlowStudio AI lets teams review, approve, and redirect AI workflows at critical steps. Automate the work. Keep people in control. #MultiAgentSystems #AIAgents #AgentWorkflow
My submission, "Multi-Agent Orchestration: Foundations, Practice, and Evaluation", has been accepted to the @NeurIPSConf 2026 Education Track in Sydney! 🇦🇺 #NeurIPS2026 #MultiAgentSystems #GenerativeAI #AIEngineering

#NeurIPS2026
Delighted to share that our paper on agentic theory-of-mind titled “Mental Models for Multi-Agent Systems” has been accepted to 𝗡𝗲𝘂𝗿𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎉
#NeurIPS2026 #MultiAgentSystems #TheoryofMind #MentalModels

A proposal for extending agent skills with execution graphs, dependency declarations, tests, and shared troubleshooting records.
#multiagentsystems #agentskills...Show more

If “full consensus” can swing 33 percentage points because an operator changed the participation rule, your cross-paper comparison was never a comparison.
Score the definition before you score the agents.
https://t.co/9suU123cSd
#AIAgents #MultiAgentSystems

https://t.co/A61dCrjdJH - Available
#BuildInPublic #AGI #MachineLearning #MultiAgentSystems #AutonomousAgents #LLM #GenerativeAI #GenAI #AI #AIAgents #AgenticAI

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