#background agents
1441 related articles
Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
Read more →
Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
Read more →
Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
Read more →
Tutorials·4 min
Coze AI Agent Tutorial: A Complete Guide to Building AI Agents from Scratch
Complete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
Read more →
Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & Exa Search in Practice
Complete guide to building AI Agents on Dify: covers Agent vs. chatbot differences, Exa search tool setup, time-awareness solutions, and functional separation best practices.
Read more →
Tutorials·4 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation Guide
Compare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
Read more →
Tech Frontiers·3 min
SWE-bench Official Blog Launches: AI Coding Evaluation Enters a New Phase
SWE-bench launches its official blog for in-depth content on AI coding evaluation, AI Agents, and toolchains—signaling a new phase of maturity and standardization in AI programming benchmarks.
Read more →
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.
Read more →
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.
Read more →
Tech Frontiers·2 min
DeadEnd-CLI: Open-Source AI Penetration Testing Tool Achieves 81% Pass Rate on Black-Box Benchmark
DeadEnd-CLI is an open-source AI agentic penetration testing tool achieving 81% full black-box pass rate on the XBOW benchmark using KIMI K2.5, with multi-model support and self-hosted deployment.
Read more →
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.
Read more →
Product Reviews·3 min
ZeroClaw: Deep Dive into the Multi-MCP Router & SDK Toolkit for Claude Code
Deep dive into ZeroClaw Plugin Hub, a multi-MCP router and SDK toolkit for Claude Code. Explore its routing capabilities, Agentic CLI design, SDK architecture, and how it solves AI tool ecosystem fragmentation.
Read more →
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.
Read more →
Tech Frontiers·3 min
Kimi-Writer: An Open-Source AI Novel Writing Agent Powered by Deep Reasoning
Deep dive into the Kimi-Writer open-source project — an AI novel writing Agent built on Kimi-K2-Thinking with deep reasoning, autonomous planning, and long-form narrative capabilities.
Read more →
Tech Frontiers·2 min
LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Streaming Multi-Type Response Design
Deep dive into LLM 0.32 alpha's two core refactorings: message sequence API aligned with OpenAI format, stream_events for typed streaming responses, serialization design, and backward compatibility.
Read more →
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.
Read more →
Deep Dives·4 min
Agent, MCP, and Function Calling: A Complete Guide to Their Differences and Relationships
A deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
Read more →
Product Reviews·3 min
AGENTS.md Coding Rules Put to the Test: Code Quality Unchanged, Development Efficiency Significantly Improved
A developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
Read more →
Product Reviews·4 min
OpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
Read more →
Tutorials·2 min
OpenClaw Orange Book: An In-Depth Guide to the Open-Source AI Agent Framework
In-depth look at the OpenClaw Orange Book open-source project covering AI Agent framework components, tech ecosystem, and practical development methodology.
Read more →