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562 related articles
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.
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Tech Frontiers·2 min
LlamaIndex Integrations Get a Major Overhaul: Key Upgrade Points Every Developer Should Know
LlamaIndex official integrations get a major overhaul covering API optimization, documentation improvements, and unified interfaces. Learn the impact on RAG and LLM app development with migration tips.
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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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Tutorials·2 min
Ruby-OpenAI: A Complete Guide to Integrating GPT-5 and WebRTC Real-Time Voice in Rails
ruby-openai is an open-source library with 3,200+ GitHub stars, supporting GPT-5 and WebRTC real-time voice. Learn how to integrate OpenAI API into Ruby on Rails for AI-powered apps.
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Product Reviews·3 min
MaxKB Open-Source Agent Platform: A Deep Dive into the 20K-Star Enterprise Knowledge Base RAG Solution
Deep dive into MaxKB, an open-source enterprise agent platform with 20K+ GitHub Stars. Explore its RAG capabilities, multi-model integration, visual orchestration, and comparison with Dify and FastGPT.
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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.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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Product Reviews·3 min
Skill-Agent: A Production-Grade AI Agent Framework Built on FastAPI with 100+ LLM Support
Deep dive into Skill-Agent, an open-source FastAPI framework integrating 100+ LLM providers, MCP tool protocol, multi-agent collaboration, RAG knowledge base, and sandbox execution for enterprise AI Agent development.
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Product Reviews·3 min
Deep Dive into AGGO Framework: A New Go-Based Choice for Enterprise AI Agents
Deep dive into AGGO—an enterprise AI Agent framework built with Go and CloudWeGo Eino, covering conversational AI, RAG, memory systems, and tool calling, with Go's performance advantages.
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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.
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Tutorials·3 min
Hermes Agent Chinese Guide: 16 Volumes, 300K Words from Beginner to Multi-Agent Orchestration
Deep dive into hermes-agent-guide: a 16-volume, 300K-word Chinese manual covering installation, memory systems, skill ecosystems, multi-Agent orchestration, and enterprise deployment.
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Product Reviews·3 min
Agentica Open-Source Framework Review: A Lightweight Async AI Agent Development Alternative
In-depth review of Agentica, an open-source AI Agent framework featuring async-first architecture, tool calling, RAG, multi-agent collaboration, and MCP protocol support, with comparisons to LangChain and other mainstream frameworks.
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Tutorials·4 min
A Practical Guide to Context Engineering: The Path from Prompt Engineering to Production-Grade AI Systems
A deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
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Product Reviews·3 min
Dash Open-Source Data Agent: 6-Layer Context Anchoring + Self-Learning That Gets Smarter with Use
Deep dive into Dash by agno-agi: a self-learning data agent built on systems engineering principles, featuring 6-layer context anchoring and query-driven continuous evolution.
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Tutorials·3 min
Dissecting a 10K-Star Open Source Project: The Complete Practical Guide to Agent Context Engineering Skills
Deep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.
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Tutorials·3 min
74K Stars on GitHub: The Most Comprehensive Open-Source Learning Guide for Prompt Engineering, RAG & AI Agents
Deep dive into the 74K-star GitHub project Prompt Engineering Guide, covering prompt techniques, context engineering, RAG, AI Agents, and complete learning paths for developers.
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Product Reviews·3 min
NekroAgent Open-Source Framework: AI Agent Solution Supporting QQ, Discord, and Multiple Platforms
Deep analysis of NekroAgent open-source AI Agent framework supporting QQ, Discord, Telegram and more, with sandbox execution, long-term memory, MCP management, and visual console for multi-user scenarios.
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Product Reviews·2 min
Deep Dive Review of the Claude AI Assistant Open-Source Project: Enterprise-Grade Solution or Proof of Concept?
In-depth review of the claude-ai-assistant open-source project: analyzing its RAG architecture, knowledge base management, and maturity vs. competitors like Dify and FastGPT.
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Deep Dives·3 min
oh-my-kimi: Deep Dive into a Multi-Agent Orchestration Framework for Kimi Code CLI
Deep analysis of the oh-my-kimi open-source project, a multi-agent orchestration framework for Kimi Code CLI featuring Worktree Runtime, DAG planning, MCP hooks, Quality Gates, and Local Graph Memory.
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Product Reviews·2 min
Deep Dive into LobeHub: The 75K-Star Open Source Multi-Agent Collaboration Platform
Deep dive into LobeHub, a trending GitHub open-source project with 75,900+ Stars. Explore its multi-agent collaboration mechanisms, low-code team design, and competitive advantages over AutoGen and CrewAI.
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