Multi-Agent Articles
Browse 597 articles about Multi-Agent.
What Is Cursor's Composer Model? How a Coding Tool Became a Frontier AI Lab
Cursor trained Composer 2.5 on Qwen K2.5 with novel RL techniques, competing with GPT 5.5 and Opus. Learn how the SpaceX acquisition changes everything.
Sakana Fugu vs Claude Opus 4.8: Is Multi-Model Orchestration Worth the Cost?
Fugu is 5x more expensive and 4.5x slower than Opus 4.8 with similar results. Here's when multi-model orchestration actually makes sense for your workflows.
What Is Cursor's Composer Model? How the AI Coding Tool Became a Frontier Lab
Cursor is training a 1.5T parameter model from scratch using SpaceX compute. Here's what it means for AI coding agents and the future of agentic development.
What Is Sakana Fugu? The Multi-Agent AI System That Beats Frontier Models
Sakana Fugu orchestrates Claude, GPT, and Gemini through one API to outperform single models on benchmarks. Here's how it works and when to use it.
AI Agent Ownership: Why Every Agent Needs a Single Responsible Owner
Unowned AI agents cause silent failures. Learn the four pillars of agent ownership—job, diet, boundaries, and review loop—to keep agents reliable.
How to Build an AI Agent Roster for Your Team: The Agent Ownership Card
Every agent your team uses needs a name, owner, job, sources, permissions, and known failure modes. Here's how to build and maintain an agent registry.
How to Add Persistent Memory to Claude Code: Short-Term, Long-Term, and Scoped Access
Claude Code forgets everything between sessions. Learn how to build a memory system with cited sources, semantic search, and team-scoped access.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence Explained
Google DeepMind published a paper mapping four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation.
How to Build a Multi-Model LLM Council for Better AI Decisions
Run multiple AI models in parallel, have them rank each other's answers, and synthesize a final response. Learn when LLM councils beat single-model outputs.
How to Build a Persistent Memory System for Claude Code: Short-Term, Long-Term, and Scoped Access
Claude Code forgets everything between sessions. Learn how to build a three-layer memory system with source citation, semantic search, and team-scoped access.
What Is an Agentic Loop? The Core Pattern Behind Autonomous AI Agents
An agentic loop lets AI agents reason, act, and observe repeatedly until a goal is met. Learn the three components and when to use loops in your workflows.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence
Google DeepMind mapped four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation. Here's what it means.
How to Build an LLM Council: Ensemble AI Agents with Blind Ranking and Synthesis
Learn how to build a multi-model AI council where agents answer independently, rank each other anonymously, and a chairman synthesizes the final answer.
Loop Engineering vs Prompt Engineering: What's the Difference and Which Do You Need?
Loop engineering replaces you as the person who prompts the agent. Learn how it differs from prompt engineering and when each approach makes sense.
Memarch vs Hermes vs GBrain: Which AI Memory System Should You Use?
Memarch offers semantic search, Hermes injects frozen snapshots, and GBrain cites sources with team scoping. Here's how to choose the right memory system.
Multi-Model AI Agent Councils: Do Multiple LLMs Give Better Answers Than One?
Running GPT, Claude, and Gemini in parallel with blind peer review and a chairman synthesizer can beat any single model—but only for the right tasks.
What Is Semantic Memory Injection for AI Agents? The Frozen Snapshot Pattern
The frozen snapshot pattern injects a capped set of recent context into every agent session automatically. Here's how Hermes uses it and how to build your own.
What Is the Three-Layer AI Memory Architecture? Storage, Injection, and Recall Explained
Every AI memory system answers three questions: where to store, what to inject at session start, and how to recall by meaning. Here's how to design each layer.
What Is an Agentic Loop? How to Design AI Agents That Work Without You
An agentic loop is a trigger, action, and stop condition that lets AI agents work autonomously. Learn the core pattern and when to use it in your workflows.
12 Million Token Context Windows: What SubQ Means for AI Agent Workflows
SubQ's 12M token context window lets agents process entire codebases, legal contracts, and financial filings at once—at 5% the cost of Claude Opus.