AI Agents
NeMo-Agent-Toolkit
NVIDIA's toolkit for connecting, profiling and optimizing teams of AI agents — across any framework
★ 2.7k starsApache-2.0
View guide →Policy, identity, and sandboxing guardrails for AI agents.
agent-governance-toolkit is an open-source ai agents project by microsoft (microsoft/agent-governance-toolkit on GitHub). It has 6,406 GitHub stars and 1,126 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
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.
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