AIエージェント
NeMo-Agent-Toolkit
NVIDIA's toolkit for connecting, profiling and optimizing teams of AI agents — across any framework
★ 2.7k スターApache-2.0
ガイドを見る →agent-governance-toolkitは、microsoft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: microsoft/agent-governance-toolkit）。GitHubスターは6,406、フォークは1,126で、MIT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10月8日です。
Policy, identity, and sandboxing guardrails for AI agents.
Write down the job you will use the project for before touching any code.
Download the source and read the README's setup section first.
Run the install steps and add any required API keys or config.
Follow the example in the docs to confirm everything works.
Codified guardrails for agent actions.
Identity controls for agent operations.
Isolate what agents can run.
Coverage claimed across all ten categories.
Built with enterprise governance in mind.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/microsoft/agent-governance-toolkit.git
cd agent-governance-toolkitSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtWork through the README examples to enforce your first policy.
# see README for the policy quickstartIt is maintained by Microsoft at microsoft/agent-governance-toolkit, with 1,126 forks.
Yes. It is released under the MIT license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
The toolkit is free; you supply the models and infrastructure it governs.
Compare with Invariant and similar on policy expressiveness and enterprise fit.
Clone the repo and start with the policy quickstart in the README examples.
NVIDIA's toolkit for connecting, profiling and optimizing teams of AI agents — across any framework
Open ai agents for spec-driven development with organizational governance..
Mobile-Agent — multimodal GUI agents that operate phones and PCs from screenshots and instructions.
nono: zero-trust, zero-setup, zero-latency sandboxing and runtime security for AI agents
Multi-agent court inspired by ancient China: specialized agents debate and decide.
YAO: rigorous engineering, evaluation, and governance for reusable agent skills.
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 — agent-governance-toolkit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agent-governance-toolkit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。
An MCP server and CLI that lets AI agents build, test and run iOS and macOS projects.
A Large Action Model framework for building AI web agents that browse and act for you.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
A local-first AI agent workspace for coding, writing, design, research and automation.
Durable, composable AI agents — flows that crash and resume, retry safely, and explain every step.
A control plane with a durable state kernel that keeps long-horizon agents moving across sessions.
無料でオープン — ソースコードを入手して、リポジトリにスターを付け、作り始めましょう。