head to head · open source
Langflow vs Hexabot
Langflow has 156,266 GitHub stars, 10,311 forks, 1,056 open issues and last shipped yesterday. Hexabot has 1,152 stars, 235 forks, 26 open issues and last shipped yesterday. Langflow leads on adoption by 13,465% (156,266 vs 1,152 stars). Langflow is written in Python under MIT; Hexabot is written in TypeScript under a custom or non-standard licence. Langflow has attracted 7% as many forks as stars, Hexabot 20%. Langflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agents, 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 | Hexabot | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 1.2K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 10K | ⑂ 235 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 156K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Hexabot if
- You want the Hexabot feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and Hexabot 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 Hexabot
Automate the Boring, Keep the Magic Build and run agentic workflows across channels with YAML, tools, MCP, memory and RAG. Website · Documentation · Extensions · Discord Hexabot v3 is an automation platform with first class AI capabilities, combining workflows, actions, and conversational channels in one runtime. Quick Start Prerequisites Node.js ^24.17.0 One package manager ( npm , pnpm , yarn , or bun ) Docker (optional, for Docker based services) This Quick Start targets projects generated with the CLI. If you are contributing to the Hexabot monorepo itself, use PNPM (see CONTRIBUTING.md). 1) Install the CLI…
read the full Hexabot overview →
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Frequently asked questions
Is Langflow or Hexabot more popular?
Langflow has 156,266 GitHub stars and Hexabot has 1,152. Langflow has the larger community by that measure.
Are Langflow and Hexabot free?
Both are open source. Langflow is licensed under MIT, and Hexabot has no licence declared in this registry. Both are free to self-host.
What is the difference between Langflow and Hexabot?
Langflow is written in Python and Hexabot 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 Hexabot?
Choose Langflow if you want the larger community (156,266 stars) or its MIT licence terms. Choose Hexabot if its feature set, stack or Custom / other licence fits better. Both are self-hostable.