Langflow

v1.5.1+

Logspace

Agentvisuallow-codeopen-source
78
Strong
About This Agent

Visual, drag-and-drop interface for building LangChain-based AI applications and agents. Low-code platform that makes it easy to prototype and deploy LLM workflows, RAG systems, and conversational agents.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
visual workflow execution

Workflow execution testing

Evidence
Langflow UIDrag-and-drop interface for building LangChain flows
highVerified: 2025-11-09
langchain compatibility

Compatibility testing

Evidence
LangChain IntegrationBuilt on LangChain with access to all components
highVerified: 2025-11-09
rapid prototyping

Development speed assessment

Evidence
Low-Code DevelopmentFast prototyping with pre-built templates and components
highVerified: 2025-11-09
llm support

LLM integration testing

Evidence
Model SupportSupports OpenAI, Anthropic, Google, local models via LangChain
highVerified: 2025-11-09
error handling

Error recovery testing

Evidence
Flow ExecutionBasic error handling, visual debugging available
mediumVerified: 2025-11-09
latency

Performance monitoring

Evidence
PerformancePerformance depends on LangChain components and LLM calls
mediumVerified: 2025-11-09
🛡️Security
+
api key management

Security configuration review

Evidence
CredentialsEnvironment variable-based credential management
mediumVerified: 2025-11-09
self hosting

Deployment security assessment

Evidence
DeploymentSelf-hosting with Docker and cloud deployment options
highVerified: 2025-11-09
data privacy

Data flow analysis

Evidence
Self-Hosted OptionData privacy depends on deployment and LLM choices
mediumVerified: 2025-11-09
open source

Open source assessment

Evidence
GitHubMIT license, 30k+ stars, open source community
highVerified: 2025-11-09
authentication

Authentication assessment

Evidence
Security FeaturesBasic auth available, enterprise features in DataStax version
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
data retention

Privacy architecture review

Evidence
Data StorageFlow definitions and logs stored in configured database
mediumVerified: 2025-11-09
gdpr compliance

Compliance capabilities assessment

Evidence
Self-HostedGDPR compliance possible with self-hosted deployment
mediumVerified: 2025-11-09
local deployment

Deployment options assessment

Evidence
Deployment OptionsFull local deployment with pip or Docker
highVerified: 2025-11-09
llm data sharing

Data flow analysis

Evidence
LLM IntegrationData sent to LLM providers unless using local models
mediumVerified: 2025-11-09
flow export

Data portability assessment

Evidence
Export FeaturesExport flows as JSON for version control and migration
highVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Langflow DocsGood documentation with tutorials and component guides
highVerified: 2025-11-09
visual debugging

Debugging tools assessment

Evidence
UI FeaturesVisual flow debugging with step-by-step execution
highVerified: 2025-11-09
open source

Open source assessment

Evidence
GitHubMIT license, 30k+ stars, very active community
highVerified: 2025-11-09
community support

Community engagement analysis

Evidence
CommunityActive Discord and GitHub discussions
highVerified: 2025-11-09
⚙️Operational Excellence
+
ease of use

Usability assessment

Evidence
UI/UXIntuitive drag-and-drop interface for non-developers
highVerified: 2025-11-09
scalability

Scalability testing

Evidence
DeploymentCan scale with containerization, limited production features
mediumVerified: 2025-11-09
cost predictability

Pricing model analysis

Evidence
Open SourceFree MIT license, costs only for infrastructure and LLMs
highVerified: 2025-11-09
monitoring

Monitoring features assessment

Evidence
Monitoring FeaturesBasic logging, limited production monitoring
mediumVerified: 2025-11-09
production readiness

Production readiness assessment

Evidence
Deployment GuideDesigned for prototyping, production use requires hardening
mediumVerified: 2025-11-09
template library

Template availability assessment

Evidence
TemplatesPre-built templates for common use cases
highVerified: 2025-11-09
Strengths
  • +Intuitive visual drag-and-drop interface for LLM workflows
  • +Open source (MIT) with very active community (30k+ stars)
  • +Built on LangChain ecosystem with access to all components
  • +Excellent for rapid prototyping and experimentation
  • +Low-code approach makes AI accessible to non-developers
  • +Free to use with flexible deployment options
Limitations
  • !Limited production-grade features (auth, monitoring, scaling)
  • !Performance overhead from visual abstraction layer
  • !Primarily designed for prototyping, not enterprise deployment
  • !Security features less mature than enterprise platforms
  • !Limited control compared to code-based implementations
  • !Debugging complex flows can be challenging despite visual interface
Metadata
license: MIT
supported models
0: OpenAI
1: Anthropic
2: Google
3: Cohere
4: HuggingFace
5: Local LLMs
programming languages
0: Python
1: TypeScript (UI)
deployment type: Self-hosted (pip, Docker) or cloud
tool support
0: LangChain tools
1: Custom Python components
pricing model: Free open source (DataStax offers managed enterprise version)
github stars: 130000+
first release: 2023
ui framework: React-based visual interface
langchain version: Compatible with LangChain ecosystem
version: 1.5.1+
pricing: Free (open source), Cloud from $0/hour (usage-based)

Use Case Ratings

customer support

Good for prototyping support bots with visual design

code generation

Can build code agents but limited specialized features

research assistant

Good for RAG-based research workflows with visual design

data analysis

Can integrate analysis tools via LangChain components

content creation

Suitable for building content generation workflows

education

Easy for educators to build tutoring systems visually

healthcare

Prototyping viable, production needs security hardening

financial analysis

Self-hosted option possible but limited enterprise features

legal compliance

Good for building document analysis workflows

creative writing

Suitable for creative workflow prototyping