Discover AI Agents, MCP Servers & Workflows
The most comprehensive directory of AI agent frameworks, MCP servers, workflows and tools for builders.
Why Builders Choose agents-lib
We're not just another directory — we're your partner in navigating the AI agent ecosystem.
Curated Quality
Every resource is manually reviewed and verified. No spam, no low-quality content — just the best tools for builders.
Practical First
We prioritize actionable guides over theoretical documentation. Every tutorial includes working code and real-world examples.
Always Current
The AI landscape moves fast. We continuously update our content to keep you ahead of the curve.
AI Agents
Agent frameworks and platforms
512+🔌MCP Servers
Connect AI to any data or service
1,248+⚙️Workflows
Automation workflows and templates
356+📚Tutorials
Step-by-step guides and docs
278+📐Templates
Prompts, configs and templates
189+⚖️Comparisons
Compare frameworks and tools
142+📦Open Source
Curated OSS projects
2,341+Trending Agents
CrewAI
★ 22,000
Multi-agent orchestration framework for building complex AI agent systems.
AutoGen
★ 19,500
Microsoft's next-gen agent framework for building multi-agent conversations.
LangGraph
★ 17,000
Build stateful, multi-agent applications with LLMs using a graph-based approach.
OpenAI Agents SDK
★ 15,000
OpenAI's official agent framework for building production-ready AI agents.
PydanticAI
★ 8,500
Type-safe Python agent framework built on Pydantic for reliable structured outputs.
Popular MCP Servers
GitHub MCP
Connect to GitHub repositories, files, issues, and more.
PostgreSQL MCP
Query and analyze PostgreSQL databases directly from your AI agent.
Notion MCP
Access and manage Notion pages and databases.
Brave Search MCP
Privacy-focused web search for AI agents using Brave Search API.
SQLite MCP
Query and analyze SQLite databases directly from your AI agent.
Featured Workflows
AI Blog Writer
Automate your entire blog writing process from research to publication.
MediumYouTube Shorts Pipeline
End-to-end automation for creating YouTube Shorts.
HardAI Customer Support
Build an intelligent customer support system that can handle common queries.
EasyNews Summarizer
Stay on top of industry news with automated daily briefings.
EasyAI Code Reviewer
Automate code reviews with AI on every pull request.
MediumLatest Tutorials
How to Build an AI Agent with CrewAI
Learn how to build multi-agent systems using CrewAI framework from scratch.
MCP Server Setup Guide (Full Tutorial)
A complete guide to setting up and configuring MCP servers for your AI agents.
OpenAI Agents SDK Quickstart
Get started with the official OpenAI Agents SDK in under 10 minutes.
LangGraph vs AutoGen: Which Should You Use?
A detailed comparison of LangGraph and AutoGen to help you choose the right framework.
Build Your First Workflow with n8n
Step-by-step tutorial for building your first AI automation workflow with n8n.
Popular Comparisons
CrewAI vs AutoGen
Which multi-agent framework is right for you?
LangGraph vs CrewAI
Stateful workflows vs agent orchestration
OpenAI Agents SDK vs LangChain
Official SDK vs popular framework
MCP vs API
When to use MCP servers vs traditional APIs
AutoGen vs Microsoft Semantic Kernel
Compare Microsoft's AI frameworks
Frequently Asked Questions
What is agents-lib?▼
agents-lib is the most comprehensive directory of AI agent frameworks, MCP servers, workflows, and tools for builders. We curate and organize resources to help you discover and compare the best AI agent technologies.
What are AI agents?▼
AI agents are autonomous or semi-autonomous systems that can perceive their environment, make decisions, and take actions to achieve specific goals. Frameworks like CrewAI, LangGraph, and AutoGen provide the building blocks for creating these agents.
What is MCP (Model Context Protocol)?▼
MCP is an open protocol that standardizes how AI models connect to data sources, tools, and services. It enables AI assistants to access external data and capabilities in a secure, consistent way.
How can I contribute?▼
We welcome contributions! If you have a project, tutorial, or workflow to share, please open a pull request on our GitHub repository. All contributions are reviewed by our team.