#multi-agent workflow
1198 related articles
·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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·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
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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·2 min
Port22: A Productivity Tool for Remotely Approving Mac Programming Agents from Your Phone
Port22 projects programming Agents like Claude Code and Codex from your Mac to your phone, enabling remote approval, status monitoring, and zero-intrusion integration. Free for one Mac and two sessions.
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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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·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
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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·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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