AIエージェント
openvla
Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
★ 7.1k スターMIT
ガイドを見る →tadaは、HumeAIが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: HumeAI/tada）。GitHubスターは1,016、フォークは109で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年5月11日です。
An open-source speech language model from Hume.
Pick one concrete task so you can judge whether the project fits.
Clone the repo and check the prerequisites listed in the README.
Install what it needs and configure credentials or model access.
Run a minimal example end to end before wiring it into your stack.
Models speech directly, not via text.
From Hume's research team.
Released openly for research.
Explore via Jupyter notebooks.
A basis for speech experiments.
Focused scope, easy to survey.
Download the source and move into the project folder.
git clone https://github.com/HumeAI/tada.git
cd tadaSet up a Python environment with the notebook dependencies.
pip install -r requirements.txtLaunch Jupyter and walk through the examples.
jupyter notebookIt is maintained by HumeAI at HumeAI/tada, with 109 forks.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one. Check the repository for any LICENSE file.
The model is open; you need compute to run it.
Compare on quality and openness for your voice use case.
Clone the repo, install dependencies, and open the notebooks to follow along.
Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
Qwen-AgentWorld: a language world model simulating MCP, terminal, web, and OS environments for agents.
Up to 20x faster AI coding with smart model routing and full self-hosting.
Snowflake's Agent World Model: synthesise 1,000 executable MCP tool-use environments for agentic RL.
Tongyi Deep Research - Alibaba's open-source deep research agent and 30B model
NVIDIA Isaac GR00T N1.7 — an open foundation model for generalist robots, ready to fine-tune and deploy.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — tadaが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でtadaとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Qwen-AgentWorld: a language world model simulating MCP, terminal, web, and OS environments for agents.
An open benchmark for browser AI agents on everyday tasks.
A Python framework for building MCP servers and agent tools.
An enterprise MCP gateway: governed, auditable tool access for agents.
Fast, best-practice evaluations for AI model outputs.
A memory and retrieval server built for LLMs.