KI-Agenten
cc-safety-net
Pre-execution guard that stops AI agents' destructive commands cold.
★ 1,6 Tsd. SterneMIT
Anleitung ansehen →RAMPART ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von microsoft (microsoft/RAMPART auf GitHub). Es hat 419 Sterne auf GitHub und 58 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 6. Oktober 2026 auf GitHub aktualisiert.
Safety testing for agents, right in pytest.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Safety tests written as pytest tests.
Built for AI agent applications.
Covers both dimensions of agent risk.
From Microsoft's AI safety efforts.
Fits existing Python test pipelines.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/microsoft/RAMPART.git
cd RAMPARTSet up a virtual environment and install the package.
python -m venv .venv && source .venv/bin/activate
pip install -e .Add your first test per the docs and run pytest.
pytest
# see docs for writing safety testsIt is maintained by Microsoft at microsoft/RAMPART, with 58 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 framework is free; the tests themselves need model access.
RAMPART is pytest-native CI testing; garak scans models and AgentDojo evaluates attacks — different angles on agent safety.
Install the package and follow the docs to write your first safety test.
Pre-execution guard that stops AI agents' destructive commands cold.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.