head to head · open source
Langflow vs opencodex
Langflow has 156,616 GitHub stars, 10,399 forks, 1,056 open issues and last shipped today. opencodex has 18,501 stars, 1,472 forks, 101 open issues and last shipped today. Langflow leads on adoption by 747% (156,616 vs 18,501 stars). Langflow is written in Python under MIT; opencodex is written in TypeScript under MIT. Langflow has attracted 7% as many forks as stars, opencodex 8%. opencodex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatgpt), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Langflow | opencodex | |
|---|---|---|
| GitHub stars | ★ 157K | ★ 19K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-14 | 2026-11-14 |
| Forks | ⑂ 10K | ⑂ 1.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 157K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick opencodex if
- You want the opencodex feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and opencodex fits your workflow better
About Langflow
Langflow is a powerful platform for building and deploying AI powered agents and workflows. It provides developers with both a visual authoring experience and built in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ✨ Highlight features Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and…
read the full Langflow overview →
About opencodex
make codex open! Universal provider proxy for OpenAI Codex, Claude Code, Claude Desktop & Grok Build Two commands, and every one of them runs any LLM you point it at. Claude Code, running any model The picker is stock Claude Code. The brain behind it isn't. Codex, running any model Pick a provider and go — same workflow, different brain. Claude Desktop, running any model Opus answers, then hands the task to a GPT 5.6 Sol subagent. Grok Build, running any model Sol drives the session and calls a Kimi K3 subagent. English · Français · 한국어 · 简体中文 · 繁體中文 · Русский · 日本語 · Türkçe · 📖 Full documentation → opencodex…
read the full opencodex overview →
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Frequently asked questions
Is Langflow or opencodex more popular?
Langflow has 156,616 GitHub stars and opencodex has 18,501. Langflow has the larger community by that measure.
Are Langflow and opencodex free?
Both are open source. Langflow is licensed under MIT and opencodex under MIT. Neither carries a licence fee.
What is the difference between Langflow and opencodex?
Langflow is written in Python and opencodex in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langflow or opencodex?
Choose Langflow if you want the larger community (156,616 stars) or its MIT licence terms. Choose opencodex if its feature set, stack or MIT licence fits better. Both are self-hostable.