#multi-agent
362 related articles
·2 min
DeepMind TacticAI Lands at Palmeiras: AI Predicts Match Dynamics 8 Seconds in Advance
Google DeepMind partners with Palmeiras to deploy TacticAI, the first AI tactical system in professional football, predicting open-play dynamics 8 seconds ahead.
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·3 min
Fed Up with Every AI Coding Assistant, a Veteran Game Developer Built His Own Coding Agent
Veteran game dev Mario tried every AI coding tool including Claude Code, found them all lacking, and built Pi — a minimalist, extensible coding agent framework centered on developer control.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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·3 min
A $10 Million Research Fund Launches: What Happens When Millions of AI Agents Interact with Each Other?
Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.
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·3 min
Loopcraft Explained: Loop-Stacking Architecture Design in AI Agent Development
Deep dive into Loopcraft loop-stacking architecture for AI Agent development, covering retry, self-validation, and meta-learning loops to boost reliability.
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·2 min
ChatGPT Codex Now Rolls Over Unused Resets: AI Coding Finally Free from Quota Interruptions
OpenAI introduces reset rollover for ChatGPT Codex — unused quota no longer expires. Learn how this update eliminates quota anxiety and reshapes AI coding competition.
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·3 min
AI Agent Learning Roadmap: A Four-Step Practical Guide from Zero to Job-Ready
A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.
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·2 min
Harness: An Open-Source Framework That Generates Multi-Agent Teams from a Single Sentence
Harness is a 4.6K-star open-source multi-Agent framework that auto-generates AI teams from a single sentence, with six built-in collaboration architectures.
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·4 min
Claude Code Codex Plugin Integration: A Practical Guide to Dual-AI Adversarial Review for Better Code Quality
Learn how to install and configure the Codex plugin in Claude Code, leveraging dual-AI adversarial review to uncover code vulnerabilities across seven attack surfaces.
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·4 min
Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment
Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.
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·3 min
Hermes AI Kanban: A Five-Layer Autonomous Architecture for Fully Automated Delivery from Idea to Finished Product
Deep dive into Hermes Kanban 2.0's five-layer autonomous architecture covering intelligent planning, human approval gates, multi-agent execution, and Obsidian integration for fully automated delivery.
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·3 min
A Three-Month Roadmap to LLM Development: A Deep Dive into the Learning Path from Zero to Freelancing
A deep dive into the three-step LLM development learning path: from prompt engineering and RAG knowledge bases to AI Agent development, with realistic timelines for beginners and experienced developers.
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·2 min
Struggling to Deploy AI Agents? Engineering Is the Key to Going from Demo to Product
57% of projects have deployed AI Agents, but 40% will be killed. This article analyzes the engineering methodology for taking AI Agents from Demo to enterprise product, covering the full process from requirements to deployment.
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·2 min
Perplexity Computer: An AI-Powered Startup Operating System to Create and Run Companies from Scratch
Perplexity CEO announces Perplexity Computer will integrate all business connectors, enabling users to create and run companies from scratch with AI.
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·2 min
Codex Beginner's Practical Guide: Master Core AI Programming Skills in One Weekend
OpenAI Codex beginner's practical guide covering environment setup, code generation, bug fixing, and project refactoring. Includes efficient learning tips and Prompt techniques for fast AI programming mastery.
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·4 min
AI Agent Systematic Learning Path: From Zero to Independent Development
A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.
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·2 min
Kimi K2.7 + Hermes Agent Real-World Test: Generate Complete Applications with a Single Sentence
Hands-on test of Kimi K2.7 integrated with Hermes Agent: generate complete 3D games and web OS apps from a single sentence, with benchmark data vs Claude 3.5.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·4 min
AI Agent Development: A Complete 6-Week Systematic Learning Roadmap
A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.
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·3 min
Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development
Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.
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