Dust vs langflow
No clear leader: langflow (59.9) and Dust (55.7) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for no code agent builders. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Dust
Dust enables organizations to build AI agents that integrate with company knowledge and existing tools while maintaining human control and oversight. Teams can select from multiple AI models, share agents across departments, and enforce granular security controls with audit logging.
langflow
An open-source platform that simplifies building and deploying AI agents and workflow automation with a visual drag-and-drop interface. Supports multiple LLMs, vector databases, and integrations with built-in cloud deployment options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Dust
Pricing not documented yet.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- Notion
- Google Drive
Dust
- GitHub
- Salesforce
- Zendesk
langflow
- LangSmith
- LangFuse
- Airbyte
- Anthropic
- Azure
- Cassandra
- Confluence
- Couchbase
- Google Cloud
- OpenAI
- Serp API
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.