policy-enforcement

Open-source SDK for governing AI agent tool calls before side effects happen, with policy enforcement, approval flows, audit logs, and local execution.

An open-source control plane for AI agents that adds policy enforcement, approval gates, durable execution, audit logs, and observability for unattended workflows.

Open-source tool that runs on a machine to intercept, inspect, and optionally route Claude and ChatGPT traffic through an AI gateway for logging, policy checks, and governance.

Runtime governance and containment for AI agents. Faramesh sits between an agent and its tools to enforce policy checks, approval steps, credential isolation, and tamper-evident audit logs before risky actions execute.

Open-source Kubernetes-native runtime for LLM agents. CLRK runs agents in gVisor sandboxes and intercepts outbound traffic for observability, policy enforcement, credential injection, and routing control.

A fail-closed execution firewall for AI agents that quarantines MCP tools, proxies OpenAI-compatible requests, and emits signed receipts for offline verification.

A repository for a zero-trust execution boundary that sits between AI agents and real system actions. It evaluates policy, approval, scope, freshness, replay, and evidence before allowing operations to proceed.