Draft'n run
Visually design, deploy, and monitor production-ready AI workflows for rapid innovation.
VS
LangGraph
Open-source AI agent framework for complex generative AI workflows.
Detailed comparison
Criteria
Draft'n run
LangGraph
Pricing
Freemium
Freemium
Audience
B2B
B2B
Categories
AI And Machine Learning, Dev & Tech, Operations, Finance
AI And Machine Learning, Dev & Tech, Operations, Data & Analytics
Popularity
Low
Moderate
Description
Draft'n run is an open-source AI agent platform designed for small product teams. It enables the visual design, deployment, and monitoring of producti...
LangGraph, an open-source AI agent framework by LangChain, is designed for building, deploying, and managing complex generative AI workflows. It uses ...
Pricing
Draft'n run
Freemium
LangGraph
Freemium
Audience
Draft'n run
B2B
LangGraph
B2B
Categories
Draft'n run
AI And Machine Learning, Dev & Tech, Operations, Finance
LangGraph
AI And Machine Learning, Dev & Tech, Operations, Data & Analytics
Popularity
Draft'n run
Low
LangGraph
Moderate
Description
Draft'n run
Draft'n run is an open-source AI agent platform designed for small product teams. It enables the visual design, deployment, and monitoring of producti...
LangGraph
LangGraph, an open-source AI agent framework by LangChain, is designed for building, deploying, and managing complex generative AI workflows. It uses ...
Features
Draft'n run
Visual Workflow Builder: Design sophisticated AI agents using drag-and-drop components without coding.
Complete Observability & Enterprise-Grade Monitoring: Comprehensive tracing, real-time monitoring, and cost optimization.
Open-Source Platform for Complete Control: Deploy AI workflows with full transparency and zero vendor lock-in; self-hostable.
LLM Provider Support: Supports major LLM providers including OpenAI, Anthropic, Google, and Mistral, plus custom models.
LangGraph
Durable Execution & Checkpointing
Human-in-the-Loop Control
Stateful & Cyclical Graph Architectures
LangGraph Studio (Visual Builder)
Multi-Agent Orchestration
Other comparisons
FAQ: Draft'n run vs LangGraph
Draft'n run: Visually design, deploy, and monitor production-ready AI workflows for rapid innovation.. LangGraph: Open-source AI agent framework for complex generative AI workflows.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. Draft'n run is freemium and LangGraph is freemium.
The best choice between Draft'n run and LangGraph depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Both are primarily designed for businesses and professionals. The choice depends on which specific features you need.
Draft'n run offers: Visual Workflow Builder: Design sophisticated AI agents using drag-and-drop components without coding., Complete Observability & Enterprise-Grade Monitoring: Comprehensive tracing, real-time monitoring, and cost optimization., Open-Source Platform for Complete Control: Deploy AI workflows with full transparency and zero vendor lock-in; self-hostable., LLM Provider Support: Supports major LLM providers including OpenAI, Anthropic, Google, and Mistral, plus custom models.. LangGraph offers: Durable Execution & Checkpointing, Human-in-the-Loop Control, Stateful & Cyclical Graph Architectures, LangGraph Studio (Visual Builder).
Based on our data, LangGraph currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.