#multi-agent RL
1389 related articles
Tutorials·3 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation
Deep dive into Agentic RAG vs traditional RAG, covering planning, tool calling, and multi-step iteration capabilities with complete LangChain and LangGraph code implementation.
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Deep Dives·2 min
Cursor SDK /orchestrate Explained: Recursive Multi-Agent Collaboration for Complex Programming Tasks
Cursor SDK launches /orchestrate skill, using recursive multi-agent spawning for complex tasks with 20% Token savings and 80% faster cold starts.
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Research·3 min
Multi-Agent AI Detects Zero-Day CVE Exploitation: Technical Deep Dive Behind 85% Accuracy
Deep dive into the multi-agent architecture of ai-detects-if-cve-was-zero-day: how GPT-4o, DeepSeek v3, and Llama 3.3 collaborate to detect zero-day CVE exploitation with 85%+ accuracy on 50 validated samples.
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Deep Dives·3 min
AgentPay: A Deep Dive into the Decentralized Payment Marketplace for Autonomous AI Agent Transactions
Deep dive into AgentPay, an open-source project enabling AI agents to autonomously provide DeFi optimization, smart contract auditing services and settle payments via stablecoins in a decentralized marketplace.
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Product Reviews·3 min
AutoGPT: A Deep Dive into the Open-Source AI Agent Platform with 180K Stars
Deep dive into the AutoGPT open-source project, covering its autonomous AI agent architecture, core features, use cases, and future development. Learn how this 184K-Star GitHub project makes autonomous AI accessible to everyone.
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Tutorials·4 min
Dify AI Agent Tutorial: Build Tool-Calling & Smart Search with Zero Code
Learn how to build an AI Agent on Dify with zero code, covering Function Call vs ReAct modes, Exa search tool setup, time-awareness solutions, and Agent best practices.
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Deep Dives·4 min
Context Engineering Explained: The AI Paradigm Shift from Prompt to Context Engineering
Deep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
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Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
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Product Reviews·3 min
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
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Tech Frontiers·3 min
LangGraph Multi-Agent Company Research Tool: A Practical Guide to Open-Source AI Due Diligence
Deep dive into the open-source company-research-agent: LangGraph multi-agent architecture + Tavily search + dual-LLM collaboration for automated company due diligence and competitive intelligence.
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Tech Frontiers·2 min
OpenAI Symphony: One Codex Agent Per Task — A New Paradigm for Multi-Agent Parallel Programming
Deep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
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Deep Dives·3 min
Claude's Advisor Strategy: Small Models Execute, Large Models Supervise — A New Cost-Saving Paradigm for AI Agents
Anthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
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Tutorials·3 min
Claude Code Domestic Alternative: Low-Cost Deployment and Six Core Architecture Components Explained
Detailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
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Deep Dives·3 min
Augment Code Architecture Revealed: Dedicated Subagents Replace KV Cache, Cutting Costs by 90%
Deep dive into how Augment Code uses Mercury 2 dedicated subagents to replace traditional KV cache, achieving 82% faster context compaction, 90% lower summarization costs, and 30% reduced LLM spending.
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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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Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
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Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.
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Deep Dives·3 min
LangGraph Deep Dive: An Open-Source Framework for Building Resilient AI Agents
Deep dive into LangGraph's core architecture, StateGraph design, multi-Agent collaboration, and deployment. Learn how this 31K+ Star project helps build reliable AI Agents.
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