head to head · open source

OpenClaw vs RasaGPT

OpenClaw has 390,029 GitHub stars, 81,995 forks, 6,671 open issues and last shipped yesterday. RasaGPT has 2,464 stars, 249 forks, 57 open issues and last shipped 10 months ago. OpenClaw leads on adoption by 15,729% (390,029 vs 2,464 stars). OpenClaw is written in TypeScript under a custom or non-standard licence; RasaGPT is written in Python under MIT. OpenClaw has attracted 21% as many forks as stars, RasaGPT 10%. OpenClaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

OpenClaw ★ 390K RasaGPT ★ 2.5K category AI & Machine Learning

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Side by side

OpenClaw RasaGPT
GitHub stars ★ 390K ★ 2.5K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-18 2025-11-12
Forks ⑂ 82K ⑂ 249
Self-hosting Yes Yes
Data ownership Your server Your server

pick OpenClaw if

  • You weight community size — 390K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full OpenClaw profile →

pick RasaGPT if

  • You want the RasaGPT feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and RasaGPT fits your workflow better

full RasaGPT profile →

About OpenClaw

OpenClaw is an open source, self hosted AI assistant in the AI & Machine Learning / AI Interaction & Interfaces category that runs on hardware the user controls and meets them inside the messaging channels they already use, for individuals who want a personal assistant on a laptop and teams that want a shared deployment.

read the full OpenClaw overview →

About RasaGPT

RasaGPT is an MIT licensed, headless LLM chatbot platform and reference implementation that combines the Rasa dialogue framework with Langchain and LlamaIndex for indexing, retrieval and context injection, aimed at Python developers who want a working self hosted starting point for a document aware Telegram or API chatbot.

read the full RasaGPT overview →

More in AI & Machine Learning

Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama openclaw vs dify openclaw vs multica openclaw vs langgraph hermes-agent vs opencode hermes-agent vs n8n ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

OpenClaw vs Hermes Agent OpenClaw vs Open WebUI OpenClaw vs odysseus OpenClaw vs LobeChat OpenClaw vs AnythingLLM OpenClaw vs Cherry Studio OpenClaw vs nanobot OpenClaw vs Jan OpenClaw vs LibreChat OpenClaw vs chatbox OpenClaw vs AstrBot OpenClaw vs openhuman

Frequently asked questions

Is OpenClaw or RasaGPT more popular?

OpenClaw has 390,029 GitHub stars and RasaGPT has 2,464. OpenClaw has the larger community by that measure.

Are OpenClaw and RasaGPT free?

Both are open source. OpenClaw has no licence declared in this registry, and RasaGPT is licensed under MIT. Both are free to self-host.

What is the difference between OpenClaw and RasaGPT?

OpenClaw is written in TypeScript and RasaGPT in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, OpenClaw or RasaGPT?

Choose OpenClaw if you want the larger community (390,029 stars) or its Custom / other licence terms. Choose RasaGPT if its feature set, stack or MIT licence fits better. Both are self-hostable.