ten-framework
Open-source framework for conversational voice AI agents
rasa est un projet de agents IA open source, créé par RasaHQ (RasaHQ/rasa sur GitHub). Il compte 21 343 étoiles sur GitHub et 4 918 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 24 juillet 2026.
The veteran open-source framework for conversational AI that you host.
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
Your personal AI assistant — self-host it, chat anywhere, extend everything.
Apple's array framework for running ML efficiently on Apple silicon.
One RAG framework for everything — including multimodal documents.
Isaac Lab — NVIDIA's unified framework for robot learning, with 30+ environments and multi-physics simulation.
Vercel's open framework for building agents that run anywhere.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si rasa ne vous convient pas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de rasa — continuez à explorer de part et d'autre.
A self-improving agent for coding workflows and long-running autonomous tasks
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
A visual all-in-one platform for building, debugging, and deploying AI agents.
Kortix - the open-source AI operating system: agents, skills and memory as files in a repo
Google's code-first toolkit for building real AI agents.
Tongyi Deep Research - Alibaba's open-source deep research agent and 30B model
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.