charter-governance is an open-source AI governance layer that enables developers to enforce hard constraints, gradient decisions, and self-audit mechanisms in AI systems. It is designed for local-first deployment and supports integration with Model Context Protocol (MCP). Ideal for organizations and developers seeking robust AI compliance and governance.
charter-governance sits in PulseGate's AI & ML category. It focuses on enforcing governance, constraints, and auditability in AI systems for compliance and safety. It is built as an open-source project for AI developers and organizations deploying AI systems. charter-governance is open source under the Apache-2.0 license. charter-governance is available on the command line and API, and it can be self-hosted.
charter-governance first shipped in 2026. PulseGate's similarity index finds few close equivalents — charter-governance occupies a relatively distinct niche. Key capabilities include hard constraints, gradient decisions, and self-audit. It exposes integrations via an MCP server and a public API.
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