GJGlendel Joubert Fyne Acostainopenmas.hashnode.dev·6d ago · 11 min readAI Agents Don't Need More Memory. They Need Governed Recall.Most AI Agent Memory discussions start from the same assumption: If the agent forgets, give it more memory. More chat history. More retrieved documents. More summaries. More vector storage. More co00
FNFarhan Naqviinfarhanbytemaster.hashnode.dev·Jun 15 · 4 min readBuilding a Visual Workflow Designer for LLM Multi-Agent SystemsIntroduction Imagine building LLM applications not by writing glue code, but by dragging and connecting blocks on a canvas. This project turns that idea into a working prototype: a browser-based visua00
GJGlendel Joubert Fyne Acostainopenmas.hashnode.dev·Jun 11 · 10 min readAI Agent Memory Is Not Chat HistoryMost AI agent systems start with a simple idea: "Let's give the Agent Memory". At first, this usually means saving previous messages, retrieving similar chunks, and injecting them back into the prom00
Ccodanyksincodanyks.hashnode.dev·Jun 8 · 15 min readWhat Is an Agent?The AI industry is approaching the word agent the same way it once approached the word AI-powered. Everything becomes one eventually. A chatbot becomes an agent.A workflow becomes an agent.A scheduled00
GJGlendel Joubert Fyne Acostainopenmas.hashnode.dev·May 26 · 6 min readEvidence Beats Claims: Why AI Agents Need Runtime ProofAn AI agent saying "I did it" is not proof that anything happened. "I sent the email." "I updated the database." "I escalated the issue." "I published the post." Those are claims. In a real production00
GJGlendel Joubert Fyne Acostainopenmas.hashnode.dev·May 21 · 3 min readAI Agents Don't Have Permissions — Runtimes DoRight now, many Multi-Agent Systems are implementing permissions inside prompts. "You may access the CRM." "You are allowed to send emails." "Do not modify billing records." This is becoming one of 10
VCVinay Chaudhariinai4all.hashnode.dev·May 7 · 6 min readMulti-Agent Dead Reckoning: The Hidden Failure Mode in Vibe Coding Systems in 2026Most multi-agent AI systems do not fail immediately. They drift slowly. One agent makes a slightly wrong assumption. Another agent accepts it as context. A third agent optimizes around it. Eventually 00
RDRynko Devinblog.rynko.dev·May 6 · 8 min readMadrigal's "Failures as Eval Suites" Pattern and How Flow Already Provides the InfrastructureA blog post on LangChain's site about how Madrigal Pharmaceuticals built their multi-agent AI platform caught my attention this week. Not because of the architecture — orchestrator routing, parallel a00
AAanchalinaanchalfatwani.hashnode.dev·Apr 30 · 6 min readDesigning Multi-Agent Systems: Patterns and ArchitecturesAI systems are evolving fast. We started with: simple prompts then Retrieval-Augmented Generation (RAG) then agents that can use tools Now, we’re entering the next stage: Multi-Agent Systems (MA00
SBSandeep Bharadwaj Mannapurinfreecodecamp.org·Apr 30 · 127 min readHow to Build a Multi-Agent AI System with LangGraph, MCP, and A2A [Full Book]Building a single AI agent that answers questions or runs searches is a solved problem. A handful of tutorials and a few hours of work will get you there. What most tutorials skip is the engineering l10
