head to head · open source
Langflow vs Hexabot
Langflow has 154,943 GitHub stars, 10,108 forks, 1,056 open issues and last shipped yesterday. Hexabot has 1,227 stars, 242 forks, 26 open issues and last shipped 25 days ago. Langflow leads on adoption by 12,528% (154,943 vs 1,227 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 | ★ 155K | ★ 1.2K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-08-24 |
| Forks | ⑂ 10K | ⑂ 242 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 155K 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 visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.
read the full Langflow overview →
About Hexabot
Hexabot is a self hosted TypeScript automation platform that builds and runs AI agents and agentic workflows across conversational channels, aimed at developers and teams who want agentic automation running on their own infrastructure rather than on a vendor hosted service.
read the full Hexabot overview →
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Frequently asked questions
Is Langflow or Hexabot more popular?
Langflow has 154,943 GitHub stars and Hexabot has 1,227. 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 (154,943 stars) or its MIT licence terms. Choose Hexabot if its feature set, stack or Custom / other licence fits better. Both are self-hostable.