AI Agents
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A team workspace for building AI agents together.
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View guide →Guardrails for building secure, robust agents.
invariant is an open-source ai agents project by invariantlabs-ai (invariantlabs-ai/invariant on GitHub). It has 467 GitHub stars and 50 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 12 January 2026.
Be clear about the problem you are solving before installing.
Clone the repository and skim the docs for hardware or key requirements.
Install dependencies, then add API keys, endpoints, or local-model settings.
Launch the example flow and verify the output matches expectations.
Constrain agent actions and tool calls.
Built to prevent unsafe behavior.
Integrates into the dev workflow.
From a dedicated agent-security team.
Works with Python agent stacks.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/invariantlabs-ai/invariant.git
cd invariantSet up a virtual environment and install the package.
python -m venv .venv && source .venv/bin/activate
pip install -e .Follow the README to guard your first agent.
# see README for the quickstartIt is maintained by Invariant Labs at invariantlabs-ai/invariant, with 50 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
The library is free; you supply the models and infrastructure.
Compare with Microsoft's governance toolkit on guardrail style and policy language.
Follow the README quickstart to add guardrails to a sample agent.
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Free and open — grab the source, star the repo, and start creating.