Langflow
Open Source(MIT)
Open source
Visual workflow builder
Developer-focused
Multi-LLM support
Agent orchestration
Build and deploy AI agents and MCP servers with a visual, customizable framework.
Workflow
Workflow Orchestration
Anthropic
OPEN_SOURCE
ADVANCED Complexity
HYBRID
Last updated: Apr 15, 2026
langflow.org
Quick Answer
Langflow is an open-source, Python-based framework that provides a visual drag-and-drop interface for building and deploying AI agents and workflows. It supports major LLMs and vector databases, enabling rapid prototyping and customization with Python. Best for developers accelerating AI application development. Free and open source with a cloud option.
Decision Intelligence
Best For
Rapidly prototyping AI applications for developers
Building agentic workflows with visual tools
Deploying AI agents to production environments
Automating document processing and data extraction
Creating custom chatbots and content generators
Not Ideal For
Non-technical users seeking a purely no-code solution without any coding exposure
Organizations requiring strict enterprise-grade compliance certifications without explicit mention
Users looking for a fully managed, black-box AI solution without customization needs
Fit Score
Complexity
ADVANCED
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Skill Level
EXPERT
About Langflow
Langflow is an open-source, Python-based framework for building and deploying AI applications. It offers a visual editor for prototyping workflows with agents and the Model Context Protocol (MCP). Developers can drag-and-drop components, customize with Python, and deploy to production.
What Makes Langflow Unique
Langflow uniquely combines a visual drag-and-drop editor for designing complex AI workflows with the flexibility to customize any aspect using Python code, offering both no-code and deep code-level control for developers.
Capabilities
Visual workflow design with drag-and-drop components
Orchestrating multiple AI agents
Integrating with various LLMs and vector databases
Customizing workflows with Python code
Real-time testing and debugging of AI flows
Deploying AI flows as APIs
Supporting Model Context Protocol (MCP)
Automated data extraction from unstructured documents
Task Categories
Pros
- +Open-source and highly customizable with Python
- +Visual editor simplifies complex AI workflow creation
- +Supports a wide range of LLMs, vector databases, and tools
- +Built-in support for AI agents and MCP
- +Offers both self-hosted and free cloud deployment options
Limitations
- -Requires Python knowledge for advanced customization
- -No explicit mention of enterprise-grade security certifications like SOC2 or HIPAA
- -May have a learning curve for non-technical users due to developer-centric nature
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality8/10
Value for Money10/10
Customization9/10
Support7/10
Integration8/10
Task Scores
Workflow Building
9
Action Library
8
Api Connectivity
8
Multi Step Chains
8
Autonomous Execution
8
Conditional Logic
7
Error Handling
6
Monitoring Logging
6
Trust Score
60/100
Fair
Based on 6 verified signals
Trust Signals
Verified CompanyLangflow
Notable CustomersBetterUp, WinWeb, Athena Intelligence
User Base100K-1M
Funding$1.5M
Team Size1-10
Data ResidencyLangflow supports local storage and AWS S3 for file management. It also allows for the use of external PostgreSQL databases. Data residency depends on the user's chosen storage backend.
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
API
Community Forum + Docs
Quick Stats
Agent TypeWorkflow
Memorylong term
Planningadvanced
CategoryWorkflow Orchestration
PlatformsWEB, API, CLI
Views1
Reviews0
LaunchedJan 2023
Setup Time5-15 minutes
Status
active