DeepYard

CrewAI vs LangChain

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

CrewAI suits teams needing open-source access, multi agent focus, and 57,447 GitHub stars in current listing data. LangChain suits teams needing open-source access, typescript focus, and 144,745 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
C

CrewAI

Multi-agent orchestration framework for collaborative AI workflows

OSSFree
57.4Ktoday301
Visit GitHub
L

LangChain

Build context-aware reasoning applications with LLMs

OSSFree
144.7K850.0K/wtoday467
Visit GitHub
MetricCrewAILangChain
GitHub Stars57.4K144.7K
Contributors301467
Last CommitAug 22, 2026Aug 22, 2026
Open Issues822416
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose CrewAI if you need

  • • CrewAI is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
  • • CrewAI is the cleaner fit if you specifically need Multi Agent workflows from the catalog tags.

Choose LangChain if you need

  • • LangChain stands out for Typescript workflows that are not listed for CrewAI.
  • • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
  • • LangChain shows broader GitHub adoption with 144,745 stars versus 57,447 for CrewAI.

Meaningful differences

  • • Workflow emphasis: CrewAI highlights Python, while LangChain highlights Typescript.
  • • GitHub adoption: CrewAI shows 57,447 stars versus 144,745 for LangChain.
  • • Contributor count: CrewAI lists 301 contributors and LangChain lists 467.

Shared capabilities

  • • Orchestration
  • • Python

Shared Tags

orchestrationpython

Only in CrewAI

multi-agentrolestaskscollaboration

Only in LangChain

llmagentschainsragtypescript

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

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.

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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.

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