Launch story: Roomcomm
Roomcomm gives Codex and other agents a shared, verifiable room for cross-owner coordination, with signed history and stable posting-key identity.
HCS (Hashgraph Consensus Service) Blog3 min read
Multi-Agent Systems
430 stories
Choosing the Right Agentic AI Framework for 2026: A Decision-Tree Approach
In this article, you will learn how to choose the right agentic AI framework for your production system by working through a structured decision-tree based...
Machine Learning Mastery Blog10 min read
What 12 Production AI Agent Deployments Have in Common (2026)
Six patterns from 12 production AI agents at JPMorgan Chase, Airbnb, Apollo.io, Vercel, LinkedIn and more: skills, planners, human review, evals, small teams.
Taskade Blog18 min readLarge Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference
LLM orchestration investigates how an orchestrator coordinates a group of autonomous agents to achieve common goals or maximize collective welfare. The agents are typically heterogeneous, each holding a private preference that it pursues but does not reveal.
arXiv - cs.CL (NLP)2 min readArtemis: Geometry-Grounded Multi-Agent Driving World Models with Shared 3D State and Progressive Memory Update
Recent video world models have witnessed the paradigm shift from single-agent to multi-agent involvements, which can reveal more complicated dynamics and cross-agent interaction in the real world.
arXiv - cs.CV (CV)2 min read
Turn Meeting Transcripts into Project Plans with GitHub Copilot Agents | MVP Unplugged
Welcome to the next MVP Unplugged, where Microsoft MVPs share real-world projects and insights from the field! In this episode, host Justin Garrett sits down with Microsoft MVP Mahmoud A.
Microsoft Developer
AI Cost Optimization: Where the Money Goes and 9 Levers That Cut It
Coworker AI's guide to AI cost optimization: where token and seat spend goes, 9 levers from model routing to prompt caching, and how to measure cost per task.
Coworker AI Blog31 min read
MasterClass bets AI teaching agents can broaden access to tutoring
AI teaching agents could make personalized instruction available to more learners by reducing the cost and staffing demands of one-to-one tutoring. MasterClass is exploring that potential through a system designed to adapt to how each student learns.
SiliconANGLE4 min read
Coding for 40 tokens/sec on a Pixel 10 📱
Stop prompting one-by-one. 🛑 When Google Developer Experts built an AI race coach at Sonoma Raceway, they didn't rely on single prompts. They orchestrated a synchronized ADK agent swarm on a Pixel 10: one agent ingesting 10Hz telemetry at the edge, while Gemma 4 fired zero-latency audio coaching…
Google Cloud Tech
AI Jailbreaks: From Bypassing Restrictions to Governing Authority
From the iPhone to autonomous agents: a historical, technical and educational analysis through the SGAEIA lens SGAEIA Research Series — Article 17 Aridio Silva Independent Researcher, Brazil Creator of SGAEIA — Secure Governed Autonomous Edge Intelligence Architecture ORCID: 0009-0008-2411-6995…
Dev.to AI24 min read
AI Debate Workflow: How to Make AI Models Critique Each Other
Ask five AI models the same question and you rarely get five identical answers. GPT-6.1 Sol could potentially refute the […] The post AI Debate Workflow: How to Make AI Models Critique Each Other appeared first on AiZolo.
AiZolo Blog21 min read
Atlassian deepens its OpenAI partnership with a spend commitment — but its platform stays firmly multi-model
Enterprise project and dev software staple Atlassian said Monday it is expanding a partnership with OpenAI that dates back to 2023, putting OpenAI's newest frontier models — including the recently released GPT-6 Astra and the GPT-5.6 series — into Atlassian's platform and its Rovo AI, and…
VentureBeat AI6 min read
Synchronous vs. Asynchronous Agent Execution: Architecture Patterns for Production
In this article, you will learn how synchronous and asynchronous execution patterns differ architecturally, and how to choose between them when deploying LLM-based agents to...
Machine Learning Mastery Blog7 min read
Replay Simulators Explained: How AI Agents Learn From Runs They Already Paid For (2026)
A finished AI agent run is a simulator you can test new strategies inside, for free. Dream-RSI, the Google and DeepMind paper, explained in plain English.
Taskade Blog17 min readBayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?
Multi-agent LLM systems pair a sender with broad context and an executor with a limited local view. We study when a short message improves the executor's next decision, when raw context is preferable, and when a stronger sender helps.
arXiv cs.LG2 min readPlaying social deduction games with reinforcement fine-tuned large language models
Reinforcement fine-tuning (RFT) is increasingly used in applications where large language models (LLMs) interact with humans and other agents. Here we use social deduction games to study how RFT changes LLMs' social behaviour.
arXiv - cs.CL (NLP)2 min readAuditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation
Multi-agent systems built on large language models (LLMs) are increasingly applied to scientific discovery and hypothesis generation. Both the effect of refinement and the diversity of the delivered set are hard to interpret before experimental ground truth exists, and both are typically reported…
arXiv - cs.AI2 min read
Hermes Agent Alternatives (2026): 6 Ranked by Setup Time
Looking for a Hermes Agent alternative? Six options compared on setup time, hosting, and cost, including when staying on Hermes is the better call.
BetterClaw Blog11 min read
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