#Deep Agents
3128 related articles
·5 min
A Deep Dive into Cloud Coding Agents: How Users in China Can Choose Wisely
What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.
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·7 min
Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop
A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.
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·7 min
ManagedAgents.sh: A Deep Dive into the Model-Agnostic Open-Source Managed Agent Platform
ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.
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·4 min
Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL
A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.
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·2 min
LangChain Fundamentals: A Deep Dive into Components, Chains, and Agents
LangChain is an open-source framework connecting LLMs with external data. This guide explains its three core components: Components, Chains, and Agents for enterprise AI development.
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·7 min
The Prompt is the Platform: How AI Agents Deeply Participate in System Design and Specification
Resonate's founder proposes "The Prompt is the Platform": as AI agents generate production-grade implementations from abstract specs, engineers' value shifts to specification. A deep dive into deterministic simulation and forbidden-fruit debugging.
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·3 min
Getting Started with Codex: A Deep Dive Comparison of AI Coding Agents vs. Claude Code
A deep dive into AI coding agents like Codex and Claude Code — real-world comparisons, MCP protocol explained, and how these tools are transforming programming for developers and beginners alike.
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·7 min
Context Warp Drive: A Deep Dive into Deterministic Context Folding for AI Agents
An in-depth look at 'Deterministic Context Folding' from Context Warp Drive: solving AI agent context window management with reproducible, cacheable, debuggable context compression for production-grade agents.
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·2 min
Building an AI Public Opinion Monitoring Platform with 7 Agents: A Full-Stack LangGraph Deep Dive
A deep-dive into an AI public opinion monitoring platform built with LangGraph and LangChain, featuring 7 collaborative agents, ES vector search, email alerts, and automated report generation.
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·5 min
Deep Dive into Vercel's eve Framework: How AI Agents Are Becoming an Entirely New Form of Software
Vercel's Chief of Software Andrew Qu explains the eve Agent framework's design philosophy, covering Skills modularity, Sandboxes security, and agent-readable websites—revealing the paradigm shift from instruction-driven to goal-driven software.
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·6 min
Playwright's Three Test Agents: A Deep Dive into Planner, Generator, and Healer
Playwright's three new Test Agents—Planner, Generator, and Healer—cover the full pipeline from test design to script generation and auto-repair, integrated with VS Code, Claude Code, and more.
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·4 min
Deep Dive: How Palantir Agents Interact with the Ontology
A deep dive into Palantir's five-layer Agent-Ontology architecture: how Context, Query, Logic, Action, and Governance layers work together to enable governed enterprise AI Agents, with a live demo.
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·4 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns Explained
Deep analysis of Alibaba's AgentScope 2.0 multi-agent framework: six core upgrades including event systems, security interception, HITL, and workspace systems, plus ReAct vs Plan-and-Execute agent design patterns.
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·2 min
When Millions of AI Agents Meet: A Deep Dive into Distributed Intelligence Collaboration and Security Challenges
Deep dive into AI Agent era challenges: multi-Agent collaboration, delegation mechanisms, agentic traps, cybersecurity threats, cognitive monoculture risks, and distributed intelligence as a new path to AGI.
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·4 min
Deconstructing the Core Principles of AI Agents: A Deep Dive into the Control, Perception, and Action Modules
A systematic breakdown of the three core AI Agent modules (Control, Perception, Action), with deep analysis of AutoGPT, BabyAGI, HuggingGPT, LlamaIndex architectures and Chain-of-Thought reasoning.
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·3 min
DeepSeek Researcher Summarizes 10 Rules for Using AI Agents
A DeepSeek researcher shares 10 universal rules for using AI agents, covering the shift from execution to judgment, memory file systems, human-AI collaboration boundaries, and more.
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·2 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns
Deep dive into Alibaba's AgentScope 2.0 multi-agent framework: event system, execution safety, human-in-the-loop, and ReAct vs Plan-and-Execute agent design patterns.
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·3 min
Huawei HDC Deep Dive: Pangu 2.0 Goes Open Source and HarmonyOS 7 Agents Reshape the Mobile AI Ecosystem
Huawei HDC unveils Pangu 2.0 full open source and HarmonyOS 7 system-level Agent capabilities. Deep analysis of sparse architecture efficiency, on-device 30B models, and the Agent gateway battle.
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·4 min
What Is Google WebMCP? A Deep Dive into the New Standard for AI Agents to Directly Invoke Web Functionality
A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.
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·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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