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Langflow vs LangSmith

Our take

Pick Langflow if developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python. Pick LangSmith if engineers who already write agent code and will open traces when a run surprises them. Skip Langflow if non-technical ops teams that need Slack/HubSpot glue, or anyone who will not run a local server and bring their own model API keys.

Langflow

Langflow

MIT visual builder for LLM agents and RAG

LangSmith

LangChain’s hosted observability and eval

Best for

Langflow Prototyping an agent

LangSmith See what an agent did, then score it

Free plan

Langflow $0 · no license fee (MIT). You run uv pip install langflow or Docker. You pay your own LLM/provider bills

LangSmith $0 · / seat / month. 1 seat. 5,000 base traces/month, then pay-as-you-go. 7 LSU Fleet allowance/month. Community support

Lowest paid

Langflow Not published by the vendor

LangSmith Plus $39/mo

Coding agent

Langflow Visual agent canvas

LangSmith

Runs where

Langflow Local; you host it

LangSmith Hosted

Watch out

Langflow You bring the model key

LangSmith Traces after 5k / 10k bill in arrears

Last checked

Langflow 2026-10-19 · docs.langflow.org/get-started-installation

LangSmith 2026-10-22 · langchain.com/pricing

Which one, then?

Pick Langflow if

developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python.

Read the Langflow page

Pick LangSmith if

engineers who already write agent code and will open traces when a run surprises them.

Read the LangSmith page

Other comparisons