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AgDex

Global AI Agent Ecosystem

The AI Agent Ecosystem, Organized

AgDex curates 400+ tools across 8 categories — from foundational frameworks like LangChain, CrewAI, and AutoGen, to LLM APIs, GPU cloud providers, memory systems, and developer tools. Every listing is manually reviewed, described in 4 languages, and updated regularly. Whether you're picking your first framework or exploring the full stack, this is your starting point.

Not sure where to start? Read our complete 2026 framework guide or compare LangChain vs CrewAI vs AutoGen.

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🔬 In-Depth Tool Reviews

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We test and review the most important AI agent tools — honest pros & cons, real pricing, and who each tool is actually for.

💬 ChatGPT

The world's most-used AI assistant. Versatile, multimodal, constantly updated.

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🤖 Claude

Anthropic's safety-focused LLM. Best for long docs and nuanced reasoning.

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✏️ Cursor

AI-first code editor. Agent mode, codebase-wide context, multi-file edits.

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🔗 LangChain

Most widely used LLM framework. Chains, agents, RAG — massive ecosystem.

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👥 CrewAI

Role-based multi-agent orchestration. Crews, tasks, and tool use made simple.

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🦙 Ollama

Run LLMs locally in one command. The easiest self-hosting option available.

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🔌 MCP

Model Context Protocol. The open standard connecting AI tools to data sources.

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📋 View All 20 Reviews

ChatGPT, Gemini, DeepSeek, LangGraph, and more.

📝 From the Blog

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Beginner

What Is an AI Agent? A Clear Explanation for 2026

Precise definition, how agents work, and how they differ from chatbots.

Architecture

RAG vs Fine-Tuning vs Agents: Which Approach?

Three complementary strategies and when to use each one.

Deep Dive

MCP Explained: The Standard Connecting AI to Everything

What Model Context Protocol is, how it works, and why it's winning.