← Multi Agent Systems

Multi Agent Systems

267 episodes · Page 9 of 12

#1753: AI Makes Coding Harder, Not Easier

Claude Code writes the syntax, but you need more technical knowledge than ever to guide it.

ai-coding-assistantsmulti-agent-systemsmodel-context-protocolprogramming-languages

#1736: The Hidden AI Economy: Following the Tokens

OpenClaw is processing 16.5 trillion tokens daily, dwarfing Wikipedia. Here’s why it’s #1.

ai-coding-assistantsai-inferencemulti-agent-systemsopen-source

#1735: The Agentic Stone Age: A Retrospective

We revisit the chaotic rise of BabyAGI and AutoGPT, exploring why their promise of total autonomy led to spectacular failure.

multi-agent-systemsai-evaluationhallucinationsworkflow-automation

#1733: When AI Agents Build Their Own Societies

AI agents are forming neighborhoods, economies, and hospitals in server-side simulations that mirror real human behavior.

multi-agent-systemscontext-and-memoryai-evaluationgames

#1732: Why AI Agents Need an Operating System

AIOS aims to be the Linux for AI agents, managing memory, scheduling, and tools in one open-source kernel.

multi-agent-systemscontext-and-memoryai-inferencemodel-context-protocol

#1731: Why Deep Research Agents Are Being Forgotten

Specialized research agents outperform general orchestrators by 40-60% on verification tasks, yet developer hype is fading. Here's why.

multi-agent-systemsai-evaluationraghallucinationsreasoning-models

#1730: Are Multi-Agent Coding Frameworks Obsolete?

MetaGPT, SWE-agent, and OpenHands promised a team of AI devs. But in 2026, are they still useful, or has raw model power made them obsolete?

multi-agent-systemsai-coding-assistantsai-evaluationmodel-context-protocolreasoning-models

#1728: The AI Carpool: Emergent Collaboration Through Role-Playing

CAMEL AI lets two agents role-play to solve tasks autonomously. No complex code—just emergent teamwork.

multi-agent-systemsai-coding-assistantsprompt-engineeringai-evaluation

#1725: The Death of the Lonely Chatbot

Forget chatbots: AI orchestration is now the key to scaling intelligent agents in the enterprise.

multi-agent-systemsai-evaluationmodel-context-protocol

#1723: Why Agentic AI Needs a Hive Mind, Not a Single Brain

The single monolithic AI model is dying. Meet the new native multi-agent architectures that think like a team, not a solo genius.

multi-agent-systemsai-inferencecontext-and-memorymodel-context-protocolreasoning-models

#1718: The Ralph Wiggum Technique: AI That Codes Itself

Stop babysitting AI agents. Learn the Ralph Wiggum technique to automate iterative coding loops and let AI finish the job itself.

ai-coding-assistantsmulti-agent-systemscontext-and-memoryai-evaluationhallucinations

#1716: Seeing the AI Think: Visual Debugging for Agent Workflows

See how a visual, node-based tool lets you build complex AI agent workflows without writing code.

multi-agent-systemsai-coding-assistantsworkflow-automationai-evaluation

#1715: Why Voice Agents Need Frameworks (Not Just APIs)

Raw APIs handle models, but who manages the audio plumbing? We break down Vapi, LiveKit, and Pipecat.

multi-agent-systemsopen-sourcespeech-recognitiontext-to-speechworkflow-automation

#1711: Stop Building the Bucket: The Vendor SDK Era

We compare the three major vendor SDKs for building AI agents, weighing speed, safety, and scalability.

multi-agent-systemsai-coding-assistantscontext-and-memorymodel-context-protocol

#1708: Why Your AI Agent Forgets Everything (And How to Fix It)

Learn how Letta's memory-first architecture solves the AI context bottleneck for long-term agents.

context-and-memorymulti-agent-systemsragmodel-context-protocol

#1666: The Agent Mesh: Shared Context That Changes Everything

Grok 4.20’s native multi-agent architecture cuts token costs by 75% and enables real-time cross-agent reasoning.

multi-agent-systemscontext-and-memoryai-inferencemodel-context-protocolreasoning-models

#1652: AI Gateways: The Nginx for Your AI Stack

Why agentic AI needs a unified control plane to route models, aggregate tools, and cut costs.

model-context-protocolai-inferencemulti-agent-systemsai-securityreliability-engineering

#1649: The Vendor SDK Moat: Real or Illusion?

Is the vendor lock-in real, or just good marketing? We dissect the trade-offs between vendor SDKs and agnostic frameworks.

multi-agent-systemsmodel-context-protocolai-coding-assistants

#1629: From DAGs to Loops: Why Agents Need Stateful Cycles

Stop building linear chains and start building cycles to create agents that can reason, self-correct, and maintain complex state.

multi-agent-systemsai-coding-assistantscontext-and-memoryworkflow-automation

#1618: The Rise of AI Microservices: Beyond the Mega-Prompt

Say goodbye to mega-prompts. Explore the shift toward modular AI microservices, agentic hierarchies, and high-signal control artifacts.

ai-coding-assistantsmulti-agent-systemsprompt-engineeringmodel-context-protocolai-security

#1612: The End of Apps: Why Agents Are Replacing Your Desktop

Is the era of the app over? Explore how AI agents are transforming operating systems from static tools into proactive digital partners.

multi-agent-systemsai-coding-assistantsworkflow-automationcontext-and-memory

#1608: Amazon’s AI Paradox: Winning the Infrastructure War

Amazon is spending $200B to build the backbone of AI. We dive into Bedrock, Titan, and Nova to see why the house always wins.

ai-inferencemulti-agent-systemsgpusopen-source

#1597: Why AI Teams Are Hiring Digital Middle Managers

AI agents are hitting a "coordination depth wall." Learn how hierarchical middle management is saving agentic workflows from total collapse.

multi-agent-systemsai-evaluationprompt-engineering

#1596: Why Your AI Agent Needs a Ticket System, Not a Chatbox

Stop confusing your AI agents. Learn how context compaction and ticket-driven development are ending the era of "vibe coding" for good.

ai-coding-assistantscontext-and-memorymulti-agent-systemsworkflow-automationai-alignment