Multi-Agent Articles
Browse 431 articles about Multi-Agent.
Claude Opus 4.6 Runs Autonomous Tasks for 14.5 Hours at 50% Completion — No Competitor Is Close
Claude Opus 4.6 achieves 50% task completion at a 14.5-hour autonomous horizon. No competing model has published a comparable benchmark.
Claude Standard Memory vs Dreaming: Why Passive Storage Isn't Enough for Long-Running Agents
Standard Claude memory passively stores facts. Dreaming actively reorganizes them on a schedule. Here's why the difference matters for long-running managed…
Codex /goal: OpenAI's 'Ralph Loop' Feature That Ran a Device Driver Project for 14 Hours Without Stopping
Codex's /goal feature keeps a task alive across turns until complete — one user ran it on a device driver project for 14 hours overnight. Here's how it works.
GPT Realtime 2 Can Stay Silent on Command and Keep Listening — Here's Why That Changes Voice Agents
GPT Realtime 2 can be told to go silent, listen to a side conversation, and re-engage on command — solving the biggest friction point in live voice agents.
Hermes Agent's 5-Pillar Architecture: How It Learns, Schedules, and Improves Itself Over Time
Hermes Agent is built on five pillars: memory, skills, soul, crons, and a self-improving loop. Here's how each one works and why the combination matters.
Hermes Agent Cron Jobs in Plain English: Set Up Automated GitHub Backups with a Single Sentence
Hermes Agent lets you schedule cron jobs in plain English. Type 'every night at 12am, push changes to GitHub' and it creates the skill and cron automatically.
Hermes Agent Five Pillars: Memory, Skills, Soul, Crons, and Self-Improvement
Hermes Agent is built on five core pillars that make it a self-improving personal AI. Learn how memory, skills, crons, and the soul file work together.
How to Set Up Hermes Agent on a VPS with Telegram in Under 30 Minutes: Complete Setup Guide
Hermes Agent runs on your own VPS, connects via Telegram, and uses your ChatGPT subscription — no API key billing. Here's the complete setup walkthrough.
Hermes Agent vs Claude Code: Which Should You Use and When?
Hermes Agent and Claude Code serve different workflows. Learn when to use each, how they compare on autonomy and scheduling, and how to combine them.
Hermes Agent vs OpenClaw: Which Self-Hosted AI Agent Is Right for On-the-Go Agentic Work?
Hermes Agent has 140K stars and runs on any VPS. OpenClaw has 350K stars and was built by a now-OpenAI engineer. Here's how to choose between them.
How to Set Up Hermes Agent on a VPS: Docker vs Root Install
Learn how to deploy Hermes Agent on a virtual private server using Docker or root install, connect Telegram, and set up GitHub backup with automated crons.
How to Manage Multiple AI Agents Across VPS Servers: A Claude Code Organization System
Running multiple AI agents across different servers gets messy fast. Learn how to use a Claude Code project to track passwords, configs, and agent setups.
MCP vs CLI in Agentic Workflows: 35x Token Overhead and 72% vs 100% Reliability — The Data You Need
MCP servers use 35x more tokens than CLI tools on the same task, with reliability dropping from 100% to 72% as complexity grows. Here's when to use each.
Prompts vs Skills vs Plugins vs MCPs: The 10-Minute Framework That Stops You Wasting 40% of Your AI Time
Most AI users conflate prompts, skills, plugins, and MCPs — and waste 40%+ of their time. This 10-minute framework clarifies exactly when to use each.
ReAct Loop vs Linear AI Workflow: Why n8n and Zapier Can't Do What Claude Code Does
A ReAct loop reasons, acts, observes, and iterates until done. A linear workflow just executes steps. Here's why the difference matters for real agentic work.
What Is Proactive AI? How Agents Are Shifting from Reactive to Anticipatory
AI agents are evolving from chatbots that wait for prompts to proactive systems that find patterns and suggest automations. Here's what that shift looks like.
What Is the ReAct Loop? How AI Agents Reason, Act, and Iterate
The ReAct loop is the core reasoning pattern behind agentic AI systems. Learn how agents reason, act, observe results, and iterate to complete complex tasks.
Anthropic Dev Day: 6 New Managed Agent Features That Change How Claude Handles Long-Running Work
Dreaming, Outcomes, multi-agent orchestration, Claude Finance — Anthropic's dev day introduced the most complete managed-agent stack yet.
Anthropic Managed Agents vs Open-Source Agent Frameworks: Which Should You Build On?
Anthropic now has native Dreaming, Outcomes, and orchestration. But open source shipped these primitives first. Here's how to choose your stack.
Anthropic Restricts Third-Party Agents, OpenAI Opens Up: Which Provider Should You Build On?
Anthropic locked down always-on agent subscriptions. OpenAI opened Codex to everyone. Here's how to pick the right provider for your agentic workflow.