LangflowvsOpenAI Codex

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Full review →Website ↗

OpenAI Codex

Coding Assistants

Featured

OpenAI coding agent for CLI, IDE, web, desktop, and cloud workflows

Full review →Website ↗
FeatureLangflowOpenAI Codex
CategoryAutomation PlatformsCoding Assistants
PricingFree (open-source) + CloudIncluded with eligible ChatGPT plans; additional credits available
GitHub Stars
35k
✓ More stars
85k
PlatformsLinux, macOS, Windows, Docker, WebmacOS, Windows, Linux, Web
Key Features
  • ✓ Visual builder
  • ✓ Drag-and-drop
  • ✓ Component library
  • ✓ API export
  • ✓ Multi-model
  • ✓ Terminal coding agent
  • ✓ IDE extension
  • ✓ Web and desktop app
  • ✓ Multi-agent workflows
  • ✓ Cloud environments
  • ✓ Worktrees
  • ✓ PR review
  • ✓ MCP and tool use
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Official OpenAI coding agent
  • + Works across CLI, IDE, web, desktop, and cloud
  • + Open-source CLI under Apache-2.0
  • + Strong fit for parallel agent workflows
  • + Designed for end-to-end software tasks and PR review
Cons
  • − Tied to LangChain ecosystem
  • − Limited for very custom logic
  • − Can be slow for complex flows
  • − Still maturing
  • − Usage limits vary by ChatGPT plan
  • − Cloud and ChatGPT surfaces are proprietary
  • − Autonomous code changes still require review
  • − Team controls depend on workspace plan
Tags
no-codevisuallangchainopen-source
codingagenticcliideopenaichatgptmulti-agent

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