#multi-agent coordination
268 related articles
Tutorials·1 min
Multi-Agent Systems in Practice: Five Coordination Patterns That Cut Costs by 85%
Deep dive into five multi-agent coordination patterns: cost routing, context isolation, Agent Swarm, Generator-Verifier, and Smart Friend. Real cases show weekly costs dropping from $700 to $100 with 58% critical bug detection.
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·3 min
Medley: A Deep Dive into the Multi-Agent Orchestration Plugin for Claude Code
Medley is a free Claude Code plugin that decomposes complex dev tasks into live task graphs via /mission, orchestrating multiple AI agents with BYOK model support and built-in review cycles.
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·4 min
FlowTask 2.0: Building a Unified Enterprise Memory Layer for AI Agents
FlowTask 2.0 proposes a "Company Brain" that unifies data from Email, Slack, WhatsApp and more to provide real-time enterprise context for AI Agents, reducing repetitive context-feeding costs.
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·3 min
Agent-Manager: Unified Management of Multiple AI Coding Assistants with Tmux
Agent-Manager is an open-source Tmux-based TUI for managing multiple AI coding agents like Claude Code, Codex, and OpenCode in a unified terminal interface with quick switching and session persistence.
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·3 min
Agent-Manager: Unified Management of Multiple AI Coding Assistants with Tmux
Agent-Manager is an open-source Tmux-based terminal tool for managing multiple AI coding agents like Claude Code, Codex, and OpenCode in a unified interface with quick switching and session persistence.
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·3 min
Gstack Agents: Open-Source AI Expert Panel Joins Your Google Meet Video Calls
Gstack Agents is an MIT open-source tool that adds 18+ AI personas (CEO, CSO, YC partner, etc.) as voice bots to Google Meet, providing real-time multi-perspective structured feedback on your demos.
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·3 min
Gstack Agents: Open-Source AI Expert Panel Joins Your Google Meet Video Conferences
Gstack Agents is an MIT open-source tool that adds 18+ AI personas (CEO, CSO, YC Partner, etc.) as voice bots to Google Meet, providing real-time multi-perspective structured feedback on your product demos.
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·3 min
HeyZoku: Command Multiple AI Coding Agents to Work Together Using Your Voice
HeyZoku is a Mac voice-first agentic dev environment that runs 10 coding agents simultaneously. Command Claude, Codex, and Cursor by name with on-device voice recognition and one-time pricing.
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·3 min
HeyZoku: Command Multiple AI Coding Agents to Work Together Using Your Voice
HeyZoku is a Mac voice-first agentic dev environment that runs 10 coding agents simultaneously. Command Claude, Codex, and Cursor by name with on-device voice recognition and one-time pricing.
Read more →
·3 min
Local Merge Queues: Solving Code Conflicts for Parallel AI Programming Agents
Deep dive into how local merge queues solve code conflict challenges when multiple AI programming agents work in parallel, covering merge queue principles and multi-agent development trends.
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·3 min
Local Merge Queues: Solving Code Conflicts from Parallel AI Coding Agents
Deep dive into how local merge queues solve code conflict challenges when multiple AI coding agents work in parallel, covering merge queue principles and multi-agent development trends.
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·4 min
Getting Started with Claude Code: Environment Setup, Common Commands, and Git Workflow in Practice
A detailed guide to Claude Code installation, domestic model switching, project analysis commands, and Git workflow practice to help developers quickly master this AI programming collaboration tool.
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·4 min
Microsoft Open-Sources AI Agent Governance Toolkit: Comprehensive Coverage of OWASP Top 10 Risks
Microsoft open-sources agent-governance-toolkit covering all OWASP Agentic Top 10 risks through policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for production AI Agent deployment.
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·5 min
July 24 AI Daily Brief: Flux 3 Multimodal Release, Kimi K3 Lags in Testing, Qwen Tops TTS Rankings
July 24 AI news: Black Forest Labs launches Flux 3 multimodal model, Kimi K3 lags in US-UK gov tests, Alibaba Qwen tops TTS rankings, Etched raises $300M, AMD unveils MI430X.
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·5 min
Loop Engineering Explained: The New Programming Paradigm Where AI Prompts Itself
Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.
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·5 min
Opus 5 Builds a No Man's Sky-Style Exploration Game in One Day: MCP and Sub-Agent Architecture Explained
A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.
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·3 min
Practical Guide to Agent Development: The Complete Path from Zero to Commercial Deployment
A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·5 min
Running GPT-5.6 Inside Claude Code: Best Practices for Subagent Orchestration and System Prompts
Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.
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·4 min
Getting Started with AI Agent Development: A Complete Guide from Concept to Practice
A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.
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