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Langflow
Summary
Langflow lets you wire up agents and RAG pipelines in minutes using drag-and-drop components. The demos work beautifully — the Kubernetes cluster does not.
Langflow is a low-code AI builder for agentic and RAG applications that comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. Teams report building chain-of-thought agents with evaluation loops and turning them into APIs in as few as three hours, which is faster than competing platforms. The platform's acquisition by DataStax provides substantial financial backing, making Langflow's future the most secure among open-source competitors. However, as teams push Langflow into production, they encounter critical issues with Langflow's performance, operational limitations, and data risks, spurring a search for alternatives that can better handle automated, agentic AI applications.
Bottom line: *Pick this if you're prototyping agents on a tight timeline and willing to rewrite before production scale. If your flows touch file uploads, expect memory leaks; if they run in Kubernetes, budget 4GB+ RAM just to start.*
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Langflow Cloud - Free
Managed hosting with limited resources for development and testing
- Cloud-hosted UI
- No infrastructure setup required
- Community support
Elestio Managed Langflow
Fully managed Langflow on dedicated VMs with automated backups, SSL, updates, 24/7 monitoring
- Dedicated virtual machines
- 9 cloud providers available
- 100+ global regions
- All-inclusive pricing (compute, storage, bandwidth, updates)
Sliplane Self-Hosted Langflow
Container-based hosting with full control and no feature limitations
- Hourly billing
- Fixed compute pricing
- 2TB free bandwidth
- Support for custom domains
Pricing may have changed since last verified. Check the official site for current plans.
Pricing Plans
Free- Free Tier
- Open-source version is completely free; Langflow Cloud free tier has limited cloud resources for development and testing.
Open Source (Self-Hosted)
Fully open-source version deployable on any infrastructure. Only costs are external services (LLM APIs, cloud hosting, vector databases).
- Unlimited flows and agents
- Full component customization via Python
- Multi-agent orchestration
- API deployment and MCP server export
- Community support
Langflow Cloud - Free Tier
Managed cloud hosting with free tier. Production workloads require paid infrastructure.
- Cloud-hosted deployment
- No server management
- Pay-per-use for cloud resources
- Enterprise-grade security
Self-Hosted via Third-Party Providers
Pricing varies by hosting provider. Examples: Elestio ($16+/month), Sliplane (€9+/month), AWS Marketplace AMI.
- Managed hosting with backups and monitoring
- Multi-cloud provider support
- Dedicated virtual machines
- 24/7 monitoring and security updates
View full pricing on langflow.org →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Fully open source (MIT license) with no vendor lock-in
- Visual builder reduces boilerplate while allowing full Python customization
- Extensive pre-built component library for major LLMs, databases, and APIs
- Deploy as API, MCP server, or JSON export for flexible integration
- Active development and enterprise backing (IBM/DataStax)
Cons
Sign in to edit- Requires infrastructure management and DevOps knowledge for production deployment
- Steeper learning curve than some competing low-code platforms for non-technical users
- Cost complexity due to dependency on external services (LLM APIs, cloud hosting, vector databases)
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About
- Platforms
- Linux, macOS, Windows (Desktop); Cloud-agnostic (AWS, Azure, Google Cloud, etc.)
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-05-15T21:38:42.591Z
Best For
Who it's for
- Data scientists and ML engineers building production AI systems
- Development teams needing rapid iteration on agent workflows
- Enterprises requiring low-code RAG application development
- Developers prioritizing vendor-agnostic, customizable AI stacks
- Teams wanting open-source alternatives to closed-source platforms
What it does well
- Building retrieval-augmented generation (RAG) applications with custom data
- Developing multi-agent orchestration systems with conversation memory
- Prototyping chatbots and conversational AI without writing glue code
- Creating autonomous workflow automation with tool access and planning
- Fine-tuning and deploying LLM-based agents at enterprise scale
Integrations
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Frequently Asked Questions
- Is Langflow free?
- Langflow has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Langflow open source?
- Yes. Langflow is open source — the source repository is at https://github.com/langflow-ai/langflow.
- Does Langflow have an API?
- Yes. Langflow exposes a developer API. See the official documentation at https://langflow.org for details.
- Can I self-host Langflow?
- Yes. Langflow supports self-hosting on your own infrastructure.
- When was Langflow released?
- Langflow was first released in 2023.
- What platforms does Langflow support?
- Langflow is available on: Linux, macOS, Windows (Desktop); Cloud-agnostic (AWS, Azure, Google Cloud, etc.).
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Curated lists that include this category
Langflow lets you wire up agents and RAG pipelines in minutes using drag-and-drop components. The demos work beautifully — the Kubernetes cluster does not.
Langflow is a low-code AI builder for agentic and RAG applications that comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. Teams report building chain-of-thought agents with evaluation loops and turning them into APIs in as few as three hours, which is faster than competing platforms. The platform's acquisition by DataStax provides substantial financial backing, making Langflow's future the most secure among open-source competitors. However, as teams push Langflow into production, they encounter critical issues with Langflow's performance, operational limitations, and data risks, spurring a search for alternatives that can better handle automated, agentic AI applications.
*Pick this if you're prototyping agents on a tight timeline and willing to rewrite before production scale. If your flows touch file uploads, expect memory leaks; if they run in Kubernetes, budget 4GB+ RAM just to start.*