AI Agents
ten-framework
Open-source framework for conversational voice AI agents
★ 11.1k starsUnknown
View guide →The veteran open-source framework for conversational AI that you host.
rasa is an open-source ai agents project by RasaHQ (RasaHQ/rasa on GitHub). It has 21,343 GitHub stars and 4,918 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 24 July 2026.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Understand intents and manage conversations.
Slack, Facebook, voice, and more.
Your data never has to leave.
Beyond text: voice assistants too.
Improve from real transcripts.
Years of enterprise deployments.
Download the source and move into the project folder.
git clone https://github.com/RasaHQ/rasa.git
cd rasaIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m rasa # check README for the exact commandIt is an open-source project at RasaHQ/rasa with 4918 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
The last push was July 2026 — check recent commits and issues on GitHub to judge current activity before adopting.
Rasa is deterministic and self-hosted: NLU plus dialogue policies you control, versus a black-box LLM API.
Clone the repo and follow the README quickstart — the docs at https://rasa.com/docs/rasa/ walk through setup.
Open-source framework for conversational voice AI agents
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Free and open — grab the source, star the repo, and start creating.