#multi-Agent framework
1150 related articles
Deep Dives·3 min
oh-my-kimi: Deep Dive into a Multi-Agent Orchestration Framework for Kimi Code CLI
Deep analysis of the oh-my-kimi open-source project, a multi-agent orchestration framework for Kimi Code CLI featuring Worktree Runtime, DAG planning, MCP hooks, Quality Gates, and Local Graph Memory.
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Deep Dives·2 min
Open Multi-Agent: A TypeScript Multi-Agent Orchestration Framework with Automatic Task DAG Generation
Deep dive into Open Multi-Agent, a TypeScript-native multi-agent orchestration framework with automatic task DAG generation, MCP integration, live tracing, and only three runtime dependencies. 6000+ GitHub Stars.
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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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·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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·2 min
Cogpit: A Self-Hosted Web Monitoring Console for Remote AI Coding Agents
Cogpit is an open-source self-hosted Web UI for remote Claude Code and Codex AI coding agents. Monitor in real time, manage multiple machines, and respond to permissions without SSH.
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·5 min
Tandem: A New Species Reinventing Office Leasing Brokerage with AI
Tandem is an AI-native office leasing brokerage using agentic AI to provide brokers with real-time listings, deal analytics, and landlord flexibility insights, transforming market intelligence from personal experience into system capability.
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·3 min
Building a GitHub Code Review Bot from Scratch: A Hands-On Guide to AI Agent Automation
A detailed guide on building a GitHub code review bot from scratch, covering cloud deployment, secure sandboxes, Vercel AI SDK, and multi-agent collaboration for automated development workflows.
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·3 min
AI Cross-Validation: A Practical Guide to Using Gemini to Review ChatGPT Outputs
Explore cross-validation methods using Gemini to review ChatGPT outputs. Analyze the value and limitations of AI peer review with a rational multi-model collaboration framework.
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·3 min
Building an AI Agent from Scratch: A Full Development Process Retrospective and Pitfall Guide
A complete guide to building AI Agents from scratch based on real developer experiences: task selection, tool comparison (no-code vs frameworks vs hand-written), stability challenges, and evaluation criteria.
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·2 min
AgentMicro: An Open-Source macOS Menu Bar Tool for Real-Time Monitoring of Parallel Codex Tasks
AgentMicro is an open-source macOS menu bar tool for real-time monitoring of OpenAI Codex Desktop and CLI parallel tasks. With local-first design, it never uploads code or AI interaction data.
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·3 min
DeerFlow: Deep Dive into ByteDance's Open-Source Long-Horizon SuperAgent Framework
Deep analysis of ByteDance's open-source DeerFlow long-horizon SuperAgent framework, covering six core components, architecture design, use cases, and industry significance.
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·3 min
Getting Started with MARL (Multi-Agent Reinforcement Learning): A Complete Path from Theory to Code
A systematic guide to learning MARL from theory to code, covering CleanRL, PettingZoo, PyMARL tools, IQL/VDN/QMIX/MADDPG algorithm progression, and practical tips for bridging theory and implementation.
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·2 min
AI Agents Running a Real Company: Experiment Results and Capability Boundary Analysis
What happens when AI agents are tasked with running a real company? This analysis examines agent performance, critical shortcomings, and practical enterprise deployment advice.
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·3 min
Graph Engineering: The Core Paradigm and Design Patterns for AI Agent Orchestration
Deep dive into how graph engineering uses state machines and directed graphs to constrain AI agent behavior, covering reflection, routing, human-in-the-loop, and parallel execution patterns.
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·3 min
Graph Engineering: The Core Paradigm and Design Patterns for AI Agent Orchestration
Explore how graph engineering uses state machines and directed graph structures to constrain AI agent behavior, covering reflection, routing, human-in-the-loop, and parallel execution patterns.
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·4 min
Tiling Window Management: A New Interaction Paradigm for Multi-Agent Conversations
Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.
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·3 min
What Kind of GUI Do AI Agents Need? The Evolution from Chat Boxes to Task Consoles
Exploring GUI design for AI Agents: why chat boxes fall short, and how ideal agent interfaces need task visualization, human-in-the-loop intervention, state presentation, and multi-agent orchestration.
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·3 min
Claude Opus 5 Plays Pokémon: A 12-Hour AI Experiment in Multi-Agent Loop Architecture
Deep analysis of Claude Opus 5 playing Pokémon for 12 hours via multi-agent loop architecture, exploring Agent design patterns, long-horizon planning, and AI Agent trends.
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·3 min
Claude Opus 5 Plays Pokémon: Analyzing a 12-Hour AI Experiment Under Multi-Agent Loop Architecture
In-depth analysis of Claude Opus 5's 12-hour Pokémon gameplay through multi-agent loop architecture, exploring multi-Agent design, long-horizon planning, and AI Agent trends.
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