--- title: "#multi-agent-ai articles | Hashnode" description: "Explore 28 articles tagged #multi-agent-ai on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/multi-agent-ai" --- Tag # #multi-agent-ai 28 posts · 0 followers [LnP Infotech](https://hashnode.com/@lnpinfotech) · [3d ago](https://hashnode.com/posts/multi-agent-ai-systems-business/6af40fa19164639f7886aa77) ### [Multi-Agent AI Systems: How Multiple AI Agents Work Together in Business](https://lnpinfotech.hashnode.dev/multi-agent-ai-systems-business?utm_source=hashnode&utm_medium=feed) Explore how multi-agent AI systems work, their business applications, benefits, challenges, and steps to implement collaborative AI agents. 14 min read · [lnpinfotech.hashnode.dev](https://lnpinfotech.hashnode.dev/multi-agent-ai-systems-business?utm_source=hashnode&utm_medium=feed) [Rajath Shanbhag](https://hashnode.com/@silverscreen) · [Aug 16](https://hashnode.com/posts/multi-agent-pipeline-orchestration/6a8188a7e9859d53d4b03e51) ### [The Conductor Pattern - Making a Multi - Agent Pipeline Stop Falling Over](https://avghumans.hashnode.dev/multi-agent-pipeline-orchestration?utm_source=hashnode&utm_medium=feed) How a Planner/Researcher/Coder/Reviewer product went from a racy, silent-failing chain of HTTP calls to a durable workflow that can't lose a step, ship an un-reviewed bug, or hang on a slow agent. 25 min read · [avghumans.hashnode.dev](https://avghumans.hashnode.dev/multi-agent-pipeline-orchestration?utm_source=hashnode&utm_medium=feed) [Learn with HJ](https://hashnode.com/@hardeepjethwani) · [Jul 11](https://hashnode.com/posts/multi-agent-systems-when-one-ai-intern-is-not-enough/6a5262516aa432b551cde87e) ### [Multi-Agent Systems: When One AI Intern Is Not Enough](https://hardeepjethwani.hashnode.dev/multi-agent-systems-when-one-ai-intern-is-not-enough?utm_source=hashnode&utm_medium=feed) Explain specialized agents, coordinator agents, debate patterns, and failure modes. 6 min read · [hardeepjethwani.hashnode.dev](https://hardeepjethwani.hashnode.dev/multi-agent-systems-when-one-ai-intern-is-not-enough?utm_source=hashnode&utm_medium=feed) [Siddhesh Prabhugaonkar](https://hashnode.com/@siddheshp) · [Jul 6](https://hashnode.com/posts/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence/6a4bb80ddc7569cebb372358) ### [Sakana Fugu vs. LLM Council: Two Very Different Bets on Multi-Model Intelligence](https://cloud-authority.com/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence?utm_source=hashnode&utm_medium=feed) Inside the new era of multi-model AI — how Sakana Fugu's learned coordinator and Karpathy's LLM Council solve the same problem from opposite ends of the stack 12 min read · [cloud-authority.com](https://cloud-authority.com/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence?utm_source=hashnode&utm_medium=feed) [Siddhesh Prabhugaonkar](https://hashnode.com/@siddheshp) · [Jul 6](https://hashnode.com/posts/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence/6a4bb80acbf47f573d76f748) ### [Sakana Fugu vs. LLM Council: Two Very Different Bets on Multi-Model Intelligence](https://azureauthority.in/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence?utm_source=hashnode&utm_medium=feed) Inside the new era of multi-model AI — how Sakana Fugu's learned coordinator and Karpathy's LLM Council solve the same problem from opposite ends of the stack 12 min read · [azureauthority.in](https://azureauthority.in/sakana-fugu-vs-llm-council-two-very-different-bets-on-multi-model-intelligence?utm_source=hashnode&utm_medium=feed) [Ujjwal Tripathi](https://hashnode.com/@ujjwalt) · [Jun 30](https://hashnode.com/posts/how-we-built-raeda-ai-a-multi-agent-ai-fitness-coach/6a4371b8d9c9846815ba2ada) ### [How We Built Raeda AI: A Multi-Agent AI Fitness Coach](https://microcosmworks.hashnode.dev/how-we-built-raeda-ai-a-multi-agent-ai-fitness-coach?utm_source=hashnode&utm_medium=feed) A real engineering case study on Raeda AI's multi-agent coaching system — architecture, AI agents, vector search, and infrastructure for AI fitness coaching. 6 min read · [microcosmworks.hashnode.dev](https://microcosmworks.hashnode.dev/how-we-built-raeda-ai-a-multi-agent-ai-fitness-coach?utm_source=hashnode&utm_medium=feed) [Risav Karna](https://hashnode.com/@cosys) · [May 6](https://hashnode.com/posts/amnesiac-apes-wearing-rags/69fb0b2350ecad4533ff137b) ### [Amnesiac APEs Wearing RAGs](https://risav.dev/amnesiac-apes-wearing-rags?utm_source=hashnode&utm_medium=feed) Towards a substrate for distributed intelligence: Shared Epistemic Memory 15 min read · [risav.dev](https://risav.dev/amnesiac-apes-wearing-rags?utm_source=hashnode&utm_medium=feed) [Rynko Dev](https://hashnode.com/@rynko-dev) · [May 6](https://hashnode.com/posts/failures-as-eval-suites-madrigal/69faf9bc50ecad4533efde79) ### [Madrigal's "Failures as Eval Suites" Pattern and How Flow Already Provides the Infrastructure](https://blog.rynko.dev/failures-as-eval-suites-madrigal?utm_source=hashnode&utm_medium=feed) Madrigal Pharmaceuticals turned production failures into their evaluation pipeline. They built this custom on LangSmith. Flow gives you the same feedback loop as infrastructure. 8 min read · [blog.rynko.dev](https://blog.rynko.dev/failures-as-eval-suites-madrigal?utm_source=hashnode&utm_medium=feed) [Anup Karanjkar](https://hashnode.com/@anupkaranjkar) · [May 2](https://hashnode.com/posts/a2a-agent2agent-protocol-v0-3-multi-agent-developer-guide-2026/69f582abc125af4f1ef93b9c) ### [A2A Protocol v0.3: Multi-Agent AI Goes Enterprise-Grade in 2026](https://wowhow.hashnode.dev/a2a-agent2agent-protocol-v0-3-multi-agent-developer-guide-2026?utm_source=hashnode&utm_medium=feed) A2A Protocol v0.3 ships gRPC, signed agent cards, and a mature Python SDK. Here’s how multi-agent AI communication just became enterprise-ready — and how to build with it today. 11 min read · [wowhow.hashnode.dev](https://wowhow.hashnode.dev/a2a-agent2agent-protocol-v0-3-multi-agent-developer-guide-2026?utm_source=hashnode&utm_medium=feed) [Nishil Bhave](https://hashnode.com/@nishilbhave) · [Mar 31](https://hashnode.com/posts/i-built-a-multi-agent-code-review-skill-for-claude-code/69cc547f729fb93908b1600d) ### [I Built a Multi-Agent Code Review Skill for Claude Code](https://nishilbhave.hashnode.dev/i-built-a-multi-agent-code-review-skill-for-claude-code?utm_source=hashnode&utm_medium=feed) I Built a Multi-Agent Code Review Skill for Claude Code — Here's How It Works Here's a stat that should bother every developer: 96% of us don't fully trust AI-generated code, but only 48% actually verify it before committing (SonarSource, 2026). That... 16 min read · [nishilbhave.hashnode.dev](https://nishilbhave.hashnode.dev/i-built-a-multi-agent-code-review-skill-for-claude-code?utm_source=hashnode&utm_medium=feed)