Agent Frameworks
CrewAI vs LangChain.
Both sit in Agent Frameworks, scored on the same six pillars from the same published methodology. Here is where they actually differ.
The short answer
LangChain scores higher — 85.4 against 79.1, a margin of 6.3 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.
LangChain leads on integrations & ecosystem, maturity & reliability and capability.
CrewAI, Inc.
79.1
Strong
Role-based multi-agent orchestration, from open source to enterprise.
- From
- Free / Enterprise platform custom pricing
- Pricing
- Open Source
- Maturity
- Emerging
- Founded
- 2023
LangChain, Inc.
85.4
Excellent
The most adopted framework for building LLM applications and agents.
- From
- Free / LangSmith from $39 per month
- Pricing
- Open Source
- Maturity
- Established
- Founded
- 2022
Pillar by pillar
The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.
Capability
LangChain by 6
Value for Money
Level
Security & Compliance
Level
Integrations & Ecosystem
LangChain by 15
Maturity & Reliability
LangChain by 10
Momentum
Level
Which one, and when
Pick CrewAI if
- →Multi-agent automation POCs
- →Business-process agent teams
- →Python-first teams
The catch
- Less battle-tested at scale than LangGraph
- Fast API evolution between versions
Pick LangChain if
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 15 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 10 points.
- →the hardest end of the work is what you are buying for — it leads Capability by 6 points.
- →Production agent systems
- →RAG pipelines
- →Teams needing provider flexibility
The catch
- Abstraction layers can obscure what's happening under the hood
- Historical API churn; major-version migrations required effort
What each is good at
CrewAI
- ✓Intuitive role/goal/task mental model for multi-agent design
- ✓Standalone and lightweight, no heavy framework dependency
- ✓Strong education funnel: large certified developer community
LangChain
- ✓Largest integration catalog in the ecosystem
- ✓LangGraph provides durable, controllable agent orchestration
- ✓LangSmith closes the loop with tracing, evals and monitoring
Other comparisons in Agent Frameworks
Comparing something else? Build your own side-by-side across any tools in the catalog.