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AI tool comparison

LangChain vs CrewAI

A data-driven comparison of LangChain (Agent Framework) and CrewAI (Multi-Agent Framework) — features, GitHub momentum, and which tool fits your workflow.

LangChain

Agent Framework

Private

CrewAI

Multi-Agent Framework

Private

GitHub stats

GitHub stars

135.7K

50.6K

Stats sourced from the Rize AI tools weekly tracker. Updated 2026-05-04.

Feature comparison

Feature
LangChain
CrewAI
Approach
General-purpose chains/agents
Multi-agent role-playing
Language
Python + JS
Python
Agent orchestration
LangGraph (separate)
Built-in crew system
Tool ecosystem
Massive (1000+ tools)
Growing (100+ tools)
Learning curve
Steep
Moderate
Enterprise support
LangSmith (paid)
CrewAI Enterprise

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Frequently asked questions

What is the difference between LangChain and CrewAI?

LangChain is a Agent Framework while CrewAI is a Multi-Agent Framework. Key differences include: Approach (LangChain: General-purpose chains/agents, CrewAI: Multi-agent role-playing); Language (LangChain: Python + JS, CrewAI: Python); Agent orchestration (LangChain: LangGraph (separate), CrewAI: Built-in crew system).

Which is more popular, LangChain or CrewAI?

As of this week, LangChain has 135.7K GitHub stars and CrewAI has 50.6K stars. Check the live stats above for the latest momentum data.

Can Rize track time spent in LangChain and CrewAI?

Yes. Rize automatically detects and tracks time spent in both LangChain and CrewAI. It runs in the background and categorizes your AI tool usage by project and client — no manual timers needed.

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