CrewAI vs LangChain
Two sides of the AI SDK & agent framework decision: multi-agent orchestration and broad framework. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.
Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗
Which fits you
Choose CrewAI if- Python projects that split work across several role-based agents, like researcher, writer and reviewer.
Use it whenYour task maps to a team of specialists passing work along.
Trade-offMulti-agent setups cost more tokens and are harder to predict than one well-prompted agent.
Choose LangChain if- You need many prebuilt connectors for models, tools and data sources
Use it whenYou need many connectors and want LangGraph for stateful, multi-step agents.
Trade-offLayers of abstraction make debugging harder, and the API has changed often.
At a glance
| CrewAI | LangChain | |
|---|---|---|
| Used by | 3 makers' products · 28 open-source projects | 65 makers' products · 205 open-source projects |
| Downloads | 6.6M/wk | 5.1M/wk−1% vs npm |
| Pricing | Open-source framework is free; CrewAI also sells a paid enterprise build/runtime platform with usage-based pricing. · paid from Contact sales | Open source and free to use; optional paid LangSmith platform for tracing, evals, and deployment. · paid from $39/seat/mo (LangSmith) |
| Free tier | Yes | Yes |
| Open source | Yes · self-hostable | Yes · self-hostable |
What makers say
Makers on using it for AI SDK & agent framework, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.
On CrewAIWe love using CrewAI for our own agents have built Kodosumi specifically to be able to work with CrewAI and easily scale up CrewAI agents.
Stands out with its open-source, role-based multi-agent architecture that enables collaborative, autonomous workflows and fine-grained control, making it more flexible and developer-friendly than other agent frameworks
On LangChainWe chose to integrate with LangChain as it is the leading LLM framework. We are happy that it was so straightforward to integrate with LangChain and build some use cases already.
LangChain helped us orchestrate complex reasoning, memory, and planning steps behind our AI employee. It’s the brain behind turning a conversation into a functional website.
The whole ecosystem has been a great help till now. Even though we often have to develop our own. Langsmith is one of our go to tool for tracing and evaluating.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.
CrewAINothing that recurs in what we collected yet.LangChainMost loved
- One interface across many model providers, so switching models, prompts and chains is cheap. PHPH 2PH 3
- A large ecosystem of document loaders, chunkers, retrievers and tool integrations for RAG and agents. PHPH 2PH 3
- LangSmith tracing and evaluation show what an agent did and where it went wrong. PHPH 2PH 3
Watch-outs
On Product Hunt: 4.9★, 115 reviews · mentioned most: agentic workflow support, model integration, LangGraph framework- Frequent breaking API changes force rewrites, and coding agents trained on older versions produce messy code for it. HNHN 2HN 3
- Layers of abstraction make debugging slow, and many developers find calling model APIs or lighter libraries simpler. HNHN 2HN 3HN 4
- Its built-in patterns for subagents and deep research lag current practice, such as handing off context through a file system. HNHN 2
Who uses each
CrewAI3 makers' products
Chirpz Agent
ClueoChat
Coda by Conductor Quantum
fileAIWhat makers pair each with
With CrewAILLM API
CrewAI + OpenAI API:unitycatalogag-uiAgent365-Samplesagentsai-agents-frameworksai-bomatlas-agentsawesome-llm-appsCopilotKit
DeepEvalheadroomkagentand 6 more
DeepEvalheadroomkagentand 6 moreBackend Framework
Frontend Framework
CrewAI + Next.js:
Get Website.ReportKodosumiag-uiai-bomawesome-llm-appsCopilotKitdecipher-research-agentDeepEvalheadroomkagentopenllmetryZizkaDB
Get Website.ReportKodosumiag-uiai-bomawesome-llm-appsCopilotKitdecipher-research-agentDeepEvalheadroomkagentopenllmetryZizkaDBVector Database
CrewAI + Chroma:agentsAI-Bank-Statement-Document-Automation-By-LLM-And-Personal-Finanical-Analysis-Predictionai-bomatlas-agentsawesome-llm-appsDeepEvalmachine-learning-for-tradingopenllmetryPraisonAIrocketride-serversieweave
DeepEvalmachine-learning-for-tradingopenllmetryPraisonAIrocketride-serversieweaveWith LangChainLLM API
LangChain + OpenAI API:
8base
AI Context Flow
Brev.io
Databox
Fabi.ai
GitLaw
Jina
Kuration AI
Lookie AI
NeuralAgent
Officely AI
OpenFunnel(YC F24)and 11 more
8baseAI Context FlowBrev.ioDataboxFabi.aiGitLawJinaKuration AILookie AINeuralAgentOfficely AIOpenFunnel(YC F24)and 11 moreLangChain + Claude:8baseBrev.ioDataboxFabi.aiKuration AI
NiaOfficely AI
Orango
reflex
Rezonant
Super
Tragand 3 more
8baseBrev.ioDataboxFabi.aiKuration AINiaOfficely AIOrangoreflexRezonantSuperTragand 3 moreLangChain + Gemini API:8base
Minicule
Warestack
Youkti
Browser Use
8baseMiniculeWarestackYouktiBrowser UseFrontend Framework
LangChain + Next.js:Brev.ioGitLaw
graph8
IgnitionRAGJina
Manufact (mcp-use)
Mnemosphere AI
mysite.aiNeuralAgentNiaOpenFunnel(YC F24)
Overflow AIand 8 more
Brev.ioGitLawgraph8IgnitionRAGJinaManufact (mcp-use)Mnemosphere AImysite.aiNeuralAgentNiaOpenFunnel(YC F24)Overflow AIand 8 moreLangChain + React:NeuralAgentPersonal AI Memoryreflex
STORI
Tiptap
NeuralAgentPersonal AI MemoryreflexSTORITiptapLangChain + Vue.js:
Tilores entity resolutionTiptap
Tilores entity resolutionTiptapTransactional Email
LangChain + SendGrid:Brev.io
CodegenDataboxGitLawgraph8
IndigoKuration AIMnemosphere AI
OFFLIGHTQodo (formerly CodiumAI)
Receiptor AIRezonantand 3 more
Brev.ioCodegenDataboxGitLawgraph8IndigoKuration AIMnemosphere AIOFFLIGHTQodo (formerly CodiumAI)Receiptor AIRezonantand 3 moreLangChain + Resend:CodegenGitLawIgnitionRAGIndigoKuration AINiaOpenFunnel(YC F24)PensieveReceiptor AISTORI
SwytchcodeWarestackand 2 more
CodegenGitLawIgnitionRAGIndigoKuration AINiaOpenFunnel(YC F24)PensieveReceiptor AISTORISwytchcodeWarestackand 2 moreLangChain + Postmark:graph8
MeilisearchTiptap
graph8MeilisearchTiptap
Traccia
Truelink
ComposioNeither quite right?
See the whole AI SDK & agent framework decision →
LlamaIndexBroad frameworkAgents that mostly retrieve and reason over your own documents.vs LangChain →
MastraTypeScript frameworkTypeScript and Next.js apps that want agents, workflows, memory and RAG without a Python service.vs LangChain →
OpenAI Agents SDKThin SDKA small agent loop with tools, handoffs, guardrails and tracing built in, from the OpenAI team.
Pydantic AIThin SDKPython agents whose outputs must validate against typed schemas, across any model provider.
AI SDKThin SDKTypeScript agents with tool calling, multi-step loops and streaming to the UI, on any model provider.
Claude Agent SDKAgent harnessAgents that read and edit files, run shell commands and manage long context, built on the same harness as Claude Code.
LangGraphMulti-agent orchestrationStateful agents built as an explicit graph of steps, with checkpoints, retries, streaming and pauses for human approval, in Python or JavaScript.