Policyaware is an open-source Python package providing a control plane for enterprise LLM, RAG, and AI agent applications. It offers guardrails, PII redaction, model routing, audit capabilities, and policy enforcement. Designed for developers building production AI systems that require governance and compliance.
policyaware is an AI & ML project. It focuses on enforcing governance, security, and compliance policies across LLM, RAG, and AI agent deployments. It is built as an open-source project for developers. The project is open source (Apache-2.0). policyaware is available on the command line, and it can be self-hosted.
ktirupati builds and maintains policyaware, and it first shipped in 2026. Development happens publicly on GitHub with 13 commits in the last 90 days. Among its 5 catalogued features are Policy Enforcement, guardrails, and PII Redaction. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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