Langflow
by Langflow · Low-code visual builder for AI agents and RAG applications
62.4 — BenchRank score out of 100
Screenshots of Langflow
Homepage
Overview
Langflow is a low-code builder for AI agents, MCP servers and RAG applications. Flows are assembled visually from pre-built components that connect to LLM providers, vector databases and data sources such as Slack, Notion and Google Drive, and can be customised in Python. A finished flow can be run as an API, either self-hosted via pip or on Langflow's cloud.
- Best for
- Developers building LLM agents or RAG apps who want a visual builder they can extend in Python
- Pricing
- No prices are shown in the captured pages; the site offers a free cloud account and an open-source version you can self-host.
Strengths and trade-offs
Strengths
- Open source: install via pip and self-host, or use the hosted cloud
- Drag-and-drop flow builder with reusable pre-built components
- Integrates with many LLM providers, vector stores and data sources
- Flows can be exposed as an API for deployment
Trade-offs
- No pricing is published on the site, so cloud costs are unclear
- Customising beyond the visual components requires writing Python
- The site gives no detail on limits of the free cloud account
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 60 out of 100
- API quality
- 35 out of 100
- Documentation
- 90 out of 100
- Agent friendliness
- 85 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 50 out of 100
- Operational trust
- 0 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 60 out of 100
- Maintenance
- 100 out of 100
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