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SPECIFICTION
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CrewAI AMP vs LangChain

CrewAI AMP

crewai.com

LangChain

langchain.com

Side by side

FigureCrewAI AMPLangChain
Price fromFree$39/mo
Free planYesYes
Free trial——
Open source——
WebYes—
APIYesYes
Self-hostedYesYes
Plans published24
Spec score · LLM Application Development Frameworks8.0 (#8)8.3 (#4)
Spec score · Ai Development Tools8.1 (#6)8.1 (#8)
Spec score · AI Orchestration Software8.0 (#8)8.1 (#7)
Spec score · Llm Developer Tools8.0 (#11)8.1 (#10)
Spec score · AI Agent Platforms8.0 (#33)8.2 (#25)
Spec score · Ai Agent Automation7.9 (#11)8.1 (#8)
IntegrationsThe pricing page lists GitHub integration, while the documentation describes triggers for Gmail, Slack, Salesforce, and other services.LangChain documents 1000+ integrations across chat and embedding models, tools and toolkits, document loaders, and vector stores.
ObservabilityThe control plane provides tracing of LLM calls, tool calls, and memory reads with cost accounting.LangSmith can trace requests and help developers debug agent behavior and evaluate outputs from LangChain applications.
PurposeCrewAI AMP is an agent management platform for building, deploying, governing, and scaling AI agent workflows across enterprise applications, with or without code.LangChain is an open-source framework that provides a pre-built agent architecture and integrations for models and tools.
SupportThe pricing comparison lists community support for both plans and dedicated, Slack/Teams, and on-site support for Enterprise.The LangSmith Developer plan includes community support, while the Enterprise plan includes a support SLA.

Plans

CrewAI AMP

  • BasicFree
  • EnterprisePriced on request

CrewAI AMP pricing →

LangChain

  • Developer (LangSmith)Free
  • LangChain frameworkFree
  • Plus (LangSmith)$39 a month
  • Enterprise (LangSmith)Priced on request

LangChain pricing →

In their own words

CrewAI AMP

CrewAI AMP has no write-up on Specifiction yet; its figures are above.

Visit crewai.com

LangChain

LangChain is a free, MIT-licensed open-source framework for building agents with models and tools. Its create_agent harness combines a model, tools, prompt and middleware, with templates for common uses and a ReAct pattern. Middleware can add human approval, conversation compression, sensitive-data removal, guardrails, retries, routing and custom tool policies. Agents run on LangGraph’s durable runtime, which supports persistence, rewind, checkpointing and human-in-the-loop workflows. LangChain documents more than 1,000 integrations across chat and embedding models, tools, toolkits, document loaders and vector stores. Standard interfaces for chat models and embeddings support switching providers with minimal code changes. Documentation covers Python and JavaScript/TypeScript. LangSmith adds tracing, debugging and output evaluation. The framework supports API and self-hosted use. LangChain was started in 2023 and is headquartered in San Francisco.

Visit langchain.com