Is CrewAI built on top of LangChain?

No — despite that being a common assumption from CrewAI's early days, CrewAI's own README FAQ states plainly: "CrewAI is a standalone Python framework with its own primitives for agents, tasks, crews, flows, tools, and orchestration." It doesn't depend on LangChain; both are separately model-agnostic (CrewAI via LiteLLM, LangChain via its own provider integrations).

Which has more traction on GitHub?

LangChain's root repository leads by a wide margin — 142,096 stars and 23,639 forks as of 2026-07-19, reflecting its head start (created October 2022) and use beyond agents. CrewAI (created October 2023) has 55,785 stars and 7,880 forks. But the fairer comparison is CrewAI against LangGraph — LangChain's own agent-orchestration engine — which has 37,613 stars, meaning CrewAI has actually out-starred the part of LangChain built to do the same job.

Are CrewAI and LangChain actually free?

Both cores are MIT-licensed and free to self-host. The paid layers differ: LangChain's LangSmith (tracing/evals/monitoring) publishes self-serve pricing — Developer $0/seat (up to 5k base traces/month), Plus $39/seat/month (up to 10k base traces), Enterprise custom. CrewAI's hosted Enterprise/Studio platform gives 50 workflow executions/month free, then moves straight to a custom-priced Enterprise conversation — no published number past the free tier.

Does either support JavaScript or TypeScript?

LangChain ships official SDKs for both Python and JavaScript/TypeScript. CrewAI is Python-only, with no official JS/TS SDK — a real constraint for teams standardized on a Node.js stack.

Which is the better starting point for a beginner?

CrewAI's role-based crew abstraction is the faster on-ramp — a working multi-agent system in well under 50 lines of code. LangChain/LangGraph has a steeper learning curve (its core abstractions have changed across major versions, so older tutorials can mislead), but rewards that curve with finer-grained state control and the larger integration ecosystem once you're building something bespoke and production-grade.

CrewAI vs LangChain

Both are free, open-source Python frameworks for building AI agents, but they bet on opposite structures: CrewAI's role-based crew model versus LangChain/LangGraph's explicit state-machine control, so the real choice is prototyping speed against long-run production control.

Feature	CrewAI Visit CrewAI ↗	LangChain Visit LangChain ↗
Description	A popular open-source Python framework for role-based, collaborating multi-agent teams, free to self-host, now a stable 1.0 release with an optional managed AMP cloud layer.	The most widely-used framework for building LLM apps and agents, with LangGraph for stateful control.
Category	Agent frameworks	Agent frameworks
Pricing	Free	Free
Tier	Listed	Listed
API	Yes	Yes
Tags	Self-hostedMulti-agentAPIOpen sourceFree tier	Self-hostedMulti-agentAPIOpen sourceFree tier

CrewAI and LangChain are both open-source, MIT-licensed Python frameworks for building AI agents, and both are free at their core — but they start from different mental models. CrewAI organizes agents into a "crew": each one gets a role, a goal and tools, and the framework handles hand-offs, plus an event-driven Flows layer when you need more deterministic control. LangChain provides lower-level building blocks (model, tool and retrieval abstractions) and, through LangGraph, an explicit graph of nodes and edges — you decide exactly what state each step sees and where it goes next.

The gap shows up in GitHub activity, checked live on 2026-07-19: LangChain's root repository has 142,096 stars and 23,639 forks, reflecting its head start (created October 2022) and use well beyond agents. CrewAI (created October 2023) has 55,785 stars and 7,880 forks. The fairer one-to-one comparison is CrewAI against LangGraph specifically — LangChain's own agent-orchestration engine — which has 37,613 stars, meaning CrewAI's crew abstraction has actually out-starred the part of LangChain built to do the same job.

Pricing is free-vs-free at the framework level; the difference is in the paid layer above it. LangChain's LangSmith (tracing, evals, monitoring) publishes self-serve tiers: Developer $0/seat, Plus $39/seat/month, Enterprise custom. CrewAI's hosted Enterprise/Studio platform gives 50 workflow executions/month free, then requires a sales conversation for Enterprise — no published number past the free tier.

Verdict

Prototyping a multi-agent workflow fast, thinking in a “team of specialists,” or shipping in under an hour → CrewAI. Building a bespoke, production-grade agent that needs fine-grained state control, the largest integration ecosystem, transparent self-serve observability pricing, or JavaScript/TypeScript support → LangChain (with LangGraph).

Visit CrewAI ↗Visit LangChain ↗

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Frequently asked questions

Is CrewAI built on top of LangChain?: No — despite that being a common assumption from CrewAI's early days, CrewAI's own README FAQ states plainly: "CrewAI is a standalone Python framework with its own primitives for agents, tasks, crews, flows, tools, and orchestration." It doesn't depend on LangChain; both are separately model-agnostic (CrewAI via LiteLLM, LangChain via its own provider integrations).
Which has more traction on GitHub?: LangChain's root repository leads by a wide margin — 142,096 stars and 23,639 forks as of 2026-07-19, reflecting its head start (created October 2022) and use beyond agents. CrewAI (created October 2023) has 55,785 stars and 7,880 forks. But the fairer comparison is CrewAI against LangGraph — LangChain's own agent-orchestration engine — which has 37,613 stars, meaning CrewAI has actually out-starred the part of LangChain built to do the same job.
Are CrewAI and LangChain actually free?: Both cores are MIT-licensed and free to self-host. The paid layers differ: LangChain's LangSmith (tracing/evals/monitoring) publishes self-serve pricing — Developer $0/seat (up to 5k base traces/month), Plus $39/seat/month (up to 10k base traces), Enterprise custom. CrewAI's hosted Enterprise/Studio platform gives 50 workflow executions/month free, then moves straight to a custom-priced Enterprise conversation — no published number past the free tier.
Does either support JavaScript or TypeScript?: LangChain ships official SDKs for both Python and JavaScript/TypeScript. CrewAI is Python-only, with no official JS/TS SDK — a real constraint for teams standardized on a Node.js stack.
Which is the better starting point for a beginner?: CrewAI's role-based crew abstraction is the faster on-ramp — a working multi-agent system in well under 50 lines of code. LangChain/LangGraph has a steeper learning curve (its core abstractions have changed across major versions, so older tutorials can mislead), but rewards that curve with finer-grained state control and the larger integration ecosystem once you're building something bespoke and production-grade.

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