langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
- Vendor
- Langflow
- Also known as
- langflow
What is langflow?
Open-source, Python-based framework for building AI agents and RAG applications. Supports all major LLMs, vector databases, and includes MCP server capabilities with visual editor for rapid iteration.
langflow pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free open-source + free cloud tier
Open Source
FreeSelf-hosted deployment
Cloud
FreeFree enterprise-grade cloud platform for deployment
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
- Self-hosted
Integrations (11)
Independently observed- Anthropic
- OpenAI
- Azure
- Google Cloud
- Slack
- GitHub
- MongoDB
- Langchain
- HuggingFace
- Mistral
- Groq
langflow FAQ
Common questions about langflow, answered from independent, dated evidence.
What is Langflow?
Langflow is an open-source Python framework designed for building AI agents and retrieval-augmented generation (RAG) applications. It provides a visual editor for designing workflows and integrates with major language models and vector databases. The framework includes built-in support for Model Context Protocol (MCP) servers, enabling rapid development and iteration of AI systems.
Source: http://www.langflow.org
How much does Langflow cost?
Langflow uses a freemium pricing model. The open-source version is free for self-hosted deployments, and there is also a free tier available on their managed cloud platform. No payment is required to begin development or deployment of your AI applications.
Source: http://www.langflow.org
How can I deploy Langflow?
Langflow supports multiple deployment approaches: you can host it yourself on your own infrastructure, use their managed cloud platform, or implement a hybrid setup combining both options. This flexibility allows you to choose the deployment model that best fits your organizational requirements.
Source: http://www.langflow.org
Which AI providers and services does Langflow integrate with?
Langflow integrates with major AI providers including Anthropic, OpenAI, Azure, and Google Cloud. It also connects with development tools like GitHub and Hugging Face, and supports services such as Slack, MongoDB, Mistral, Groq, and LangChain. The platform includes multiple pre-built integrations to extend functionality.
Source: http://www.langflow.org
What interfaces does Langflow provide?
Langflow offers both a web-based interface and command-line interface (CLI). The web interface includes a visual editor for designing and testing workflows without requiring code.
Source: http://www.langflow.org
Who is Langflow designed for?
Langflow is built for developers and teams who need to quickly build, test, and deploy AI-powered agents and workflows. It serves both individual developers exploring AI capabilities and organizations requiring production-grade deployment options.
Source: http://www.langflow.org
Can I run Langflow without the cloud platform?
Yes, Langflow is open-source and can be self-hosted on your own infrastructure at no cost. This gives you complete control over deployment, data, and infrastructure while avoiding dependence on a third-party platform.
Source: http://www.langflow.org
Is Langflow suitable for enterprise deployment?
Langflow offers both self-hosted and managed cloud deployment options, with the cloud platform providing enterprise-grade infrastructure. The combination of open-source flexibility and managed options makes it adaptable for organizations of various sizes.
Source: http://www.langflow.org
langflow alternatives
Other ai tools we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for langflow, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Github Activity | 63 | 18.00 | 1135.8 | ✓ |
| Release Cadence | 96 | 10.00 | 961.1 | ✓ |
| Price Level | 80 | 10.00 | 800.0 | ✓ |
| Integrations | 31 | 18.00 | 558.6 | ✓ |
| Github Stars | 98 | 5.00 | 488.9 | ✓ |
| Pricing Transparency | 25 | 16.00 | 400.0 | ✓ |
| Reliability | 0 | 12.00 | 0.0 | - |
| Capabilities | 0 | 32.00 | 0.0 | - |
| Security Posture | 0 | 12.00 | 0.0 | - |
| Package Downloads | 0 | 26.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-07-31 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 152,664 | highsource · 2026-07-31 · 90% |
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | [{"answer":"Langflow is an open-source Python framework designed for building AI agents and retrieval-augmented generation (RAG) applications. It provides a visual editor for designing workflows and integrates with major language models and vector databases. The framework includes built-in support for Model Context Protocol (MCP) servers, enabling rapid development and iteration of AI systems.","source":"http://www.langflow.org","question":"What is Langflow?","confidence":0.95},{"answer":"Langflow uses a freemium pricing model. The open-source version is free for self-hosted deployments, and there is also a free tier available on their managed cloud platform. No payment is required to begin development or deployment of your AI applications.","source":"http://www.langflow.org","question":"How much does Langflow cost?","confidence":0.95},{"answer":"Langflow supports multiple deployment approaches: you can host it yourself on your own infrastructure, use their managed cloud platform, or implement a hybrid setup combining both options. This flexibility allows you to choose the deployment model that best fits your organizational requirements.","source":"http://www.langflow.org","question":"How can I deploy Langflow?","confidence":1},{"answer":"Langflow integrates with major AI providers including Anthropic, OpenAI, Azure, and Google Cloud. It also connects with development tools like GitHub and Hugging Face, and supports services such as Slack, MongoDB, Mistral, Groq, and LangChain. The platform includes multiple pre-built integrations to extend functionality.","source":"http://www.langflow.org","question":"Which AI providers and services does Langflow integrate with?","confidence":0.98},{"answer":"Langflow offers both a web-based interface and command-line interface (CLI). The web interface includes a visual editor for designing and testing workflows without requiring code.","source":"http://www.langflow.org","question":"What interfaces does Langflow provide?","confidence":1},{"answer":"Langflow is built for developers and teams who need to quickly build, test, and deploy AI-powered agents and workflows. It serves both individual developers exploring AI capabilities and organizations requiring production-grade deployment options.","source":"http://www.langflow.org","question":"Who is Langflow designed for?","confidence":0.85},{"answer":"Yes, Langflow is open-source and can be self-hosted on your own infrastructure at no cost. This gives you complete control over deployment, data, and infrastructure while avoiding dependence on a third-party platform.","source":"http://www.langflow.org","question":"Can I run Langflow without the cloud platform?","confidence":0.95},{"answer":"Langflow offers both self-hosted and managed cloud deployment options, with the cloud platform providing enterprise-grade infrastructure. The combination of open-source flexibility and managed options makes it adaptable for organizations of various sizes.","source":"http://www.langflow.org","question":"Is Langflow suitable for enterprise deployment?","confidence":0.9}] | highsource · 2026-07-31 · 95% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 11 | mediumsource · 2026-07-31 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-07-31 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-07-31 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 7 | mediumsource · 2026-07-31 · 70% |