#agentorchestration

A field guide to multi agent orchestration: coordination patterns, evaluation, guardrails, cost control, and the failure modes that break agent systems.

How to build agent-as-a-judge evaluation into production systems, with patterns for scoring, guardrails, cost control, and failure modes.

Today's GitHub Trending tells a clear story: multi-agent collaboration is having its...

Learn how to build and secure visual agent workflows using Paperclip TypeScript pipelines, state management, and enterprise guardrails for 2026 production setup

网易有道翻译的工程化拆解：软件工程师如何用大模型与 Agent...

高并发翻译场景下的大模型工程：拆解网易有道翻译的 AI Infra、Agent 编排与成本优化 关键词：有道翻译、网易有道翻译、有道翻译官网、有道翻译下载、AI...

Nature Machine Intelligence measured 1.6x to 6.2x more reasoning turns for multi-agent setups with no accuracy gain. The one-agent default and 3 tests.

AI agent swarm coordination patterns decide whether your multi-agent system converges or spirals. Here are the topologies, stop conditions, budget caps, and failure modes most teams don’t test in 2026.

Simply having individual AI agents isn’t enough. Agent orchestration coordinates specialized agents,...

In early 2026, Anthropic circulated an internal document describing how their own team uses their AI...

Today's GitHub Trending offers a clear signal: multi-agent orchestration is no longer experimental —...

Today's GitHub Trending surfaces an interesting pattern: developers are building multi-agent systems,...