#Deep Agents
3152 related articles
·2 min
Deep Agents: Key Topics from the LangChain Chicago Meetup Explained
LangChain's Chicago Meetup spotlights Deep Agents — exploring the evolution from simple Agents to multi-layered reasoning and long-chain task execution.
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·4 min
A Beginner's Guide to Deep Agents: The Complete Evolution from Basic Agents to Deep Agents
A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.
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·3 min
From Tokens to Agents: A Deep Dive into the Core Logic Behind AI's Key Concepts
A systematic breakdown of core AI concepts — Token, RAG, Agent, MCP, Function Call — tracing the evolution from probabilistic text prediction to autonomous agents.
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·3 min
OpenAI Codex Deep Dive: How AI Coding Agents Are Reshaping the Entire Software Development Lifecycle
Deep dive into OpenAI Codex's core capabilities and real-world applications, covering automated coding, compliance reviews, and security detection — revealing how AI coding agents boost team efficiency by 50%.
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·4 min
Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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Product Reviews·3 min
Deep Dive into Qwen3.7 Max: One-Tenth the Cost of GPT, Purpose-Built for AI Agents
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
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Industry Insights·3 min
AI Agents Deep Dive: The Paradigm Shift from Chat Tools to Autonomous Execution Systems
Deep analysis of AI Agents vs LLMs, covering three evolution stages, four core architecture components, three penetration paths, multi-agent collaboration, and societal impact.
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Product Reviews·2 min
89K Stars: Deep Dive into the Open-Source Tool That Lets AI Agents Take Over Your Browser
Deep dive into the 89K-star AI browser automation open-source project on GitHub — how it lets LLMs autonomously control browsers for web tasks, covering core capabilities, use cases, and getting started.
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Tutorials·3 min
Deep Agents: Enterprise-Grade Agent Engineering and Deep Research Implementation Guide
Learn how the Deep Agents framework solves enterprise AI Agent challenges like tool sprawl and context pollution, with a complete Deep Research implementation guide covering task decomposition, multi-source integration, and structured report generation.
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Product Reviews·2 min
Deep Dive into Warren: A Fully Autonomous AI Coding System Where One Person Uses Agents to Handle the Entire Development Workflow
Deep dive into Warren, a fully autonomous AI coding system. Learn how developer Jim West uses multi-agent collaboration to automate the entire pipeline from intent definition to production deployment.
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Product Reviews·2 min
Monid 2.0 Deep Dive: How a Unified Tool Routing Platform for AI Agents Is Changing Development
Deep dive into Monid 2.0 — a unified routing platform for AI Agent tools. Explore its core features, pay-as-you-go model, market positioning, and real value for developers.
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Product Reviews·2 min
Deep Dive into Contrario: How AI Agents + Expert Recruiters Are Reshaping Enterprise Hiring
Deep analysis of Contrario's recruiting platform: how its AI agent + expert recruiter hybrid model covers 90% of hiring workflows, featuring Slack-based natural language interaction and pay-per-hire pricing.
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Product Reviews·2 min
Superset 2.0 Deep Dive: A New IDE for Running Hundreds of AI Coding Agents in Parallel
Deep analysis of Superset 2.0 IDE's core features including multi-agent parallel execution, sandbox isolation, and unified monitoring, exploring AI coding's evolution toward agent orchestration.
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Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Deep Dives·2 min
How Replit Evaluates AI Coding Agents: A Deep Dive into ByteBench Benchmark and Continuous Optimization Framework
Deep dive into Replit's dual-pillar AI Agent evaluation framework, including open-source ByteBench benchmark, Telescope semantic clustering tool, and A/B test-driven continuous iteration methodology.
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Tech Frontiers·2 min
Deep Dive into Google AgentGravity 2.0: Dynamic Sub-Agents, SDK, and the Controversial Product Split
Deep analysis of Google AgentGravity 2.0: dynamic sub-agent system, free SDK, project management upgrades, and the controversy over splitting into desktop app, code editor, and CLI tool.
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Product Reviews·2 min
Deep Dive into 14 AI Coding Agents Recommended by DeepSeek: A Complete Selection Guide
In-depth analysis of 14 AI coding agents and personal AI assistant tools from DeepSeek's official Awesome DeepSeek Agent list, covering terminal, IDE, and IM scenarios with selection advice.
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Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
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Product Reviews·5 min
Manus vs Google Deep Research vs Flowith: A Hands-On Comparison of AI Agents for Courseware Generation
Hands-on comparison of Manus, Google Deep Research, and Flowith generating Kafka courseware with the same prompt. Detailed scoring reveals which AI agent delivers the best results.
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Deep Dives·2 min
Hung-yi Lee's 2026 Course Notes: Deep Dive into the Three Core Capabilities of AI Agents
Notes from Hung-yi Lee's 2026 AI Agent course covering AI Agent definition, LLM-driven principles, and three core capabilities: Memory, Function Calling, and Planning with Tree Search.
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