langflow vs open-webui
On the evidence we track, langflow leads this comparison with a composite score of 62/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Features
The capabilities each product documents. These tools do not share a category taxonomy, so this aligns what each vendor states rather than a normalised feature set.
| Feature | langflow | open-webui |
|---|---|---|
| Agent memory and persistent conversation threads | ✓ | - |
| Architecture model | open_source_self_hosted | - |
| Custom api tool calling and webhook execution | ✓ | - |
| Mit or apache permissive oss license | ✓ | - |
| Multi model selection openai anthropic local | ✓ | - |
| Notion google drive confluence sync connectors | ✓ | - |
| Pricing model | free_open_source | - |
| Rag knowledge base document upload and chunking | ✓ | - |
| Team sharing and role based access control rbac | ✓ | - |
| Visual drag and drop node canvas builder | ✓ | - |
What each one is
The product in its own terms, so the numbers below have context.
langflow
LeaderAn 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.
open-webui
A self-hosted interface for running AI models locally or in the cloud, with support for multiple model APIs, enterprise security features, and extensibility through code and integrations.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
langflow
LeaderFree open-source + free cloud tier
- Open SourceFree
- CloudFree
open-webui
Free open-source. Enterprise options available.
- Open SourceFree
- Full AI stack
- Connect any model
- Voice, vision, retrieval, generation, search
- Python extensions
- Community models and tools
- +1 more
- EnterpriseContact sales
- SSO
- RBAC
- Audit logs
- Data residency controls
- On-premises deployment
- +1 more
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.
- Anthropic
- Confluence
- Notion
- OpenAI
- Slack
langflow
Leader- LangSmith
- LangFuse
- Airbyte
- Azure
- Cassandra
- Couchbase
- Google Cloud
- Google Drive
- Serp API
open-webui
- Ollama
- GitHub
- ServiceNow
- Salesforce
- Jira
- SharePoint
- LDAP
- Active Directory
- Okta
- Azure AD
- Google Workspace
- OpenAI DALL·E
- Gemini
- ComfyUI
- AUTOMATIC1111
- OpenTelemetry
- DALL-E
langflow or open-webui: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.