DeepYardDeepYard

CrewAI vs LangChain

Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.

C

CrewAI

Multi-agent orchestration framework for collaborative AI workflows

OSSFree
47.7Ktoday284
L

LangChain

Build context-aware reasoning applications with LLMs

OSSFree
131.9K850.0K/wtoday469
MetricCrewAILangChain
GitHub Stars47.7K131.9K
Contributors284469
Last CommitApr 1, 2026Mar 31, 2026
Open Issues487509
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

orchestrationpython

Only in CrewAI

multi-agentrolestaskscollaboration

Only in LangChain

llmagentschainsragtypescript

About CrewAI

CrewAI is a lean, fast multi-agent orchestration framework that lets you define autonomous AI agents with distinct roles, goals, and backstories, then assign them tasks within a structured crew. Agents collaborate, delegate, and pass context to each other using a role-playing paradigm that maps naturally to real team workflows. CrewAI supports sequential and hierarchical process flows, integrates with LangChain tools, and ships with a CLI for scaffolding new projects. It is the go-to framework for task-driven multi-agent systems without heavy infrastructure overhead.

View full listing

About LangChain

LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.

View full listing