#Multi-Agent architecture
1255 related articles
Deep Dives·1 min
Factory Missions Architecture Deep Dive: How a Multi-Agent System Runs Continuously for 16 Days
Deep dive into Factory Missions multi-agent architecture: how validation contracts, serial execution, and structured handoffs enable an AI coding system to run 16 days without losing context.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Product Reviews·2 min
Perfect-Web-Clone: A Deep Dive into the Pixel-Perfect Web Cloning Tool Built on Multi-Agent Architecture
Deep dive into the Perfect-Web-Clone open-source project: how its Claude Agent SDK multi-agent architecture and 40+ specialized tools achieve pixel-perfect web cloning beyond Cursor and single-model tools.
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Deep Dives·3 min
Ruflo Open-Source Framework: Claude Multi-Agent Orchestration Platform Architecture and Practical Guide
Deep analysis of Ruflo open-source multi-agent orchestration platform, covering swarm intelligence, RAG integration, Claude Code native support, and comparisons with LangGraph and CrewAI.
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·2 min
Finyuus: A Deep Dive into the Code-First AI Workflow Governance Language
Deep dive into Finyuus, an open-source code-first AI workflow governance language built on Temporal with agent orchestration, Guards, human approvals, and Langfuse observability.
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·3 min
GitHub Daily · August 5: AI Agents Enter the 'Production Engineering' Era
GitHub Trending Aug 5: AI Agents shift from demos to production with new projects for state management, long-term memory, skill systems, and security.
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·3 min
Agentic Loop in Practice: Lessons from 86 AI Agents Building a GTA 6 Prototype in 22 Hours
A developer used an Agentic Loop with 86 AI agents over 22 hours to build a GTA 6-style 3D game prototype from scratch. Key insights on structured JSON debugging, multi-agent orchestration, and AI coding boundaries.
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·3 min
Mu: A Standardized Toolset Platform Designed for AI Agents
An in-depth analysis of Mu, a toolset platform built for AI Agents, exploring the importance of Agent tooling, Mu's design philosophy, competitive landscape, and its value in AI deployment.
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·3 min
Xberg v1 Open-Source Document Extraction Engine: CPU-Only Local Processing Supporting 101 Formats
Xberg v1 is an MIT-licensed open-source local document extraction engine. CPU-only, supporting 101 formats with built-in SPLADE and ColBERT retrieval, Rust-powered for RAG and ML pipelines.
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·3 min
How Large a Software Project Can AI Complete Independently? Capability Boundaries and Human-AI Collaboration Models
Analysis of AI programming tools' limits for independent software projects, covering context windows, architectural consistency, long-range planning constraints, and optimal human-AI collaboration patterns.
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·2 min
Murmell: A Cloud Canvas Tool for Multi-AI Agent and Team Collaboration
Murmell is a cloud-first AI collaboration tool supporting Claude Code, Codex and other agents running simultaneously, using file claiming to resolve conflicts, with all output committed to Git.
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·2 min
Tempest Open-Source Tool: Reduces Token Consumption by 64% for Parallel AI Coding Agents
Tempest is an open-source developer tool that reduces token consumption by up to 64% for parallel AI coding agents through shared code understanding and isolated workspaces.
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·3 min
Token Economics: The New Unit of Value Measurement in the AI Era
Deep dive into how Tokens evolved from a technical concept in LLMs to the core unit of measurement in the AI economy. Exploring Token consumption explosion, cost optimization, and Token economics.
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·2 min
Can OpenAI's Most Powerful Agent Independently Run a Business? Real-World Testing Reveals the Answer
OpenAI's top AI Agent was stress-tested in real business scenarios to see if it could independently run a company. The experiment reveals agent capabilities and limitations in decision-making, memory, and strategic planning.
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·3 min
Building a Local AI Agent Architecture: From Scattered Scripts to Your Personal Jarvis
A practical guide to consolidating scattered automation scripts into a local AI Agent hub. Covers Function Calling, Ollama+Qwen2.5 deployment, tool orchestration architecture, and a complete implementation roadmap.
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·4 min
Walsh Multi-Agent Trading System: How Risk Management Veto Power Ensures AI Autonomous Decision-Making Safety
Deep dive into the Walsh multi-agent trading system architecture, exploring how its risk management agent with veto power establishes safety boundaries for AI autonomous decision-making.
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·3 min
Deep Dive into Gemini Robotics ER 2: Breakthroughs in Video Understanding and Multi-Robot Collaboration
Deep analysis of Google Gemini Robotics ER 2's three core breakthroughs: video understanding, tool orchestration, and multi-robot collaboration, exploring how embodied reasoning drives robots from passive execution to autonomous intelligence.
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·3 min
Kopai: Turn Your Expertise into AI Agents and Earn Passive Income from Knowledge
Kopai is a no-code AI agent platform where experts upload knowledge to publish sellable AI agents, with per-message billing and 70% revenue share for creators.
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