Multi-Agent Articles
Browse 431 articles about Multi-Agent.
Kimi K2 Runs 300 Sub-Agents Across 4,000 Steps on 4x H100s — The Story Hermes Found That Everyone Missed
Hermes's content ideation agent surfaced Kimi K2: an open-source system orchestrating 300 sub-agents across 4,000 coordinated steps on 4x H100 GPUs.
Linear CEO Said Issue Tracking Is Dead. Then OpenAI Built Symphony on Top of Linear.
Linear's CEO declared issue tracking dead on March 24, 2026. Weeks later, OpenAI's Symphony spec made Linear the backbone of autonomous coding agents.
Mark Kashef's Claude Code Hive Mind: SQLite + Telegram Multi-Agent Council on Zero Cloud Cost
Mark Kashef's hive mind stores all agent conversations, tasks, and scheduled jobs in a free local SQLite DB with a 3D graph view.
How to Use a Smart Orchestrator Model to Direct Cheaper Sub-Agent Models in Claude Code
Use Claude Opus as an orchestrator to plan and review while DeepSeek or Gemma handle heavy lifting—cutting token costs by 5-10x without losing quality.
What Is the Mistral Medium 3.5 Model? Open-Weight AI Built for Agent Harnesses
Mistral Medium 3.5 is a 128B open-weight model combining reasoning, coding, and instruction-following for agent harnesses like OpenClaw and Hermes.
The 5-Question Test: Is Your Enterprise Software Ready to Be Agent Infrastructure?
Does your tool have records, a state machine, explicit ownership, structural verbs, and queryable history? Use this framework to evaluate your entire stack.
AI Model Orchestration: How to Use a Smart Model to Direct Cheaper Sub-Agents
Use a frontier model as orchestrator and cheaper models like DeepSeek for heavy lifting. Learn how to build a cost-efficient multi-model agent pipeline.
How to Use Claude Design's 6 Agentic Patterns in Your Own Vertical AI App
Claude Design uses 6 agentic patterns—context grounding, structured memory, self-QA loops, and more—that work for any vertical agent you're building.
Cursor's Research on Running 100 Agents in Parallel: Why Flat Agent Teams Fail Without an Issue Tracker
Cursor found that flat agent organizations develop the same coordination failures as flat human orgs. Issue trackers — claiming, status, blockers — solve both.
Google DeepMind AI Clinician: What It Means for Healthcare Automation
Google's AI Co-clinician outperformed doctors in 68 of 140 consultation areas. Learn what multimodal medical AI means for healthcare workflows and agents.
How to Build an Agentic Operating System: 9 Components You Need
An agentic OS is just clever context management. Learn the 9 components—identity files, memory, skills, and more—that make AI tools actually work.
Issue Trackers as AI Agent Infrastructure: Why Jira and Linear Are Winning
Issue trackers encode state, ownership, permissions, and history—exactly what AI agents need. Learn why boring enterprise tools are becoming agent substrates.
What Is the Iterative Refinement Loop? How Claude Design Handles Multimodal Feedback
Claude Design uses voice, drawing, DOM selection, and screenshots as input modes—not just chat. Learn how to build multimodal refinement into your own agents.
How to Build Multi-Variation Generation Into Your AI Agent
Instead of one output, have your agent proactively generate multiple variations ranked by decision hierarchy. Here's how to implement it for any domain.
OpenAI's Symphony Spec: How Using Linear as an Agent Control Plane Drove a 500% PR Increase
OpenAI's open-source Symphony spec uses a Linear board to orchestrate autonomous coding agents — and internal teams saw 500% more landed pull requests.
What Is Semantic Memory Search for AI Agents? Tools, Levels, and When to Use Each
Semantic memory search lets agents recall relevant context by meaning, not keyword. Learn the 6 levels of AI memory and which combination fits your use case.
How to Use Skill Systems in Claude Code: Chaining Skills Into Autonomous Pipelines
Skill systems chain modular Claude Code skills into scheduled, multi-step pipelines. Learn how to build content creation, repurposing, and research workflows.
Is Your Tech Stack Agent-Ready? The 5-Question Diagnostic for Evaluating Any Tool as Agent Infrastructure
Not every tool can serve as an agent control plane. Here's the 5-question diagnostic — state machines, ownership, audit history
What Is the Agent Handoff Pattern? How to Design AI Outputs for Downstream Use
The handoff pattern ensures your agent's output can be consumed by other agents or tools. Learn why portable formats like HTML, JSON, and Markdown matter.
What Is the Self-QA Loop? How AI Agents Critique Their Own Output Before You See It
A self-QA loop has an AI agent render, screenshot, and critique its own output before handing it to you. Here's how to implement it in your vertical agent.