Multi-Agent Articles
Browse 431 articles about Multi-Agent.
What Is Structured Memory in AI Agents? How to Build Persistent Context
Structured memory lets AI agents reuse context across sessions without bloating the window. Learn how to build portable memory artifacts for your agents.
What Is Visual Primitives Reasoning? DeepSeek's Breakthrough for AI Agents
DeepSeek's 'thinking with visual primitives' lets AI agents point to objects during reasoning—solving the reference gap that breaks multimodal tasks.
How to Build an Agent-Native Product: Lessons from OpenClaw, Hermes, and Codex
Agent-native products use outcome-based prompts instead of step-by-step instructions. Learn the design patterns behind the best agentic tools available today.
What Is Agentic Context Grounding? The Pattern Behind Claude Design and Vertical AI Apps
Agentic context grounding reads a source of truth before generating anything. Learn the six patterns behind Claude Design that apply to any vertical AI agent.
What Is an AI Memory System? How to Build Persistent Context for Your Agents
AI models are stateless but your work isn't. Learn how to build a durable memory layer using SQLite, Postgres, embeddings, and MCP servers for your AI agents.
How to Build an AI Orchestrator That Delegates to Cheaper Sub-Agent Models
Use a frontier model as orchestrator and cheaper open-weight models for heavy lifting. This hybrid approach cuts costs while maintaining output quality.
How to Use AI Voice Agents for Customer Support: Low-Latency Models Explained
Low-latency voice models like Grok Voice ThinkFast enable real-time AI phone agents. Learn how to build and deploy voice agents for customer support.
The 7-Model Local AI Portfolio: How to Route Tasks Across Local and Cloud Models for Maximum Performance
One model can't do everything. Here's the 7-model local portfolio — from fast local inference to frontier cloud fallback — and how to route between them.
The 9 Components Every Production Agent Harness Needs (and What Breaks Without Each One)
From while-loops to lifecycle hooks: the exact nine components that separate a toy agent from a production harness, with failure modes for each.
Agent Harness vs Framework: What's the Difference and Which Do You Need?
Frameworks like LangChain require human assembly. Harnesses ship as working agents. Here's how to choose between them for your AI workflow.
Agent Harnesses Beat Model Upgrades: 5 Benchmarks That Prove the Harness Is Now the Product
GPT-5.5 jumped from 61.5% to 87.2% functionality just by switching harnesses. Here's what the data says about harness vs model choice.
How to Use AI Agents to Run LLM Benchmarks: A Custom Evaluation Framework
Instead of relying on public benchmarks, you can build custom AI evaluation systems using agents. Here's how one developer built a gravity-well benchmark.
How to Use AI for Short-Form Video Creation: A 5-Skill Automation System
A skill system can take one long-form YouTube video and produce five captioned, reframed short-form clips automatically. Here's how the pipeline works.
How to Build a Minimal Agent Harness in Python: Step-by-Step with Session Persistence
Build a working agent harness in under an hour using append-only JSON session logs and dynamic system prompt assembly from agents.md files.
Cursor SDK vs Claude Code Harness: Which One Gets More Out of Your Model?
Opus 4.7 scores 91.1% in Cursor vs 87.2% in Claude Code's own harness. The harness gap is now bigger than the model gap.
Hermes Agent vs OpenClaw: Which Open-Source AI Agent Should You Use?
Hermes Agent and OpenClaw are both open-source AI agents with persistent memory and tool integrations. Here's how they compare for real automation work.
What Is the NVIDIA Neotron 3 Nano Omni? A Multimodal AI Model for Agents
NVIDIA's Neotron 3 Nano Omni combines text, image, video, and audio processing in one open model. Here's what it does and why it matters for AI agents.
Sam Altman Says the Harness Is Now Inseparable from the Model — Here's What That Means for Builders
Sam Altman told Ben Thompson he can't always tell if a great Codex result came from the model or the harness. What builders need to know.
What Is an Agent Harness? The Architecture Behind Claude Code, Codex, and Cursor
An agent harness turns a language model into an autonomous agent. Learn the 9 core components every modern harness needs and how they work together.
AI Agent Evaluation: How to Build Custom Benchmarks That Actually Test Intelligence
Public benchmarks are often contaminated by training data. Learn how to build custom AI agent benchmarks using simulation environments and iterative testing.