CrewAI AMP vs LangChain
CrewAI AMP
crewai.comLangChain
langchain.comSide by side
| Figure | CrewAI AMP | LangChain |
|---|---|---|
| Price from | Free | $39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · LLM Application Development Frameworks | 8.0 (#8) | 8.3 (#4) |
| Spec score · Ai Development Tools | 8.1 (#6) | 8.1 (#8) |
| Spec score · AI Orchestration Software | 8.0 (#8) | 8.1 (#7) |
| Spec score · Llm Developer Tools | 8.0 (#11) | 8.1 (#10) |
| Spec score · AI Agent Platforms | 8.0 (#33) | 8.2 (#25) |
| Spec score · Ai Agent Automation | 7.9 (#11) | 8.1 (#8) |
| Integrations | The 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. |
| Observability | The 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. |
| Purpose | CrewAI 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. |
| Support | The 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
LangChain
- Developer (LangSmith)Free
- LangChain frameworkFree
- Plus (LangSmith)$39 a month
- Enterprise (LangSmith)Priced on request
In their own words
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.