getclyro/clyro

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.

The curated list of tools, standards, and resources for governing AI agents in production: policy enforcement, audit trails, EU AI Act compliance, MCP and Claude Code security.

Runtime failure prevention for AI agents. Prevents predictable failures before they reach the execution layer

Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.

SAFi is an open source governance engine for AI agents that enforces your policies, governs agent actions, and records every decision for audit.

Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTTP API. Works with Cursor, Claude Code, Codex, and any MCP-compatible agent.

The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

Self-hosted runtime control plane for AI agents. Observe or HITL approve or Block rogue tool calls before it executes: secret leaks, prompt injection, supply chain etc in a local dashboard. Agent agnostic (Claude, codex, langchain etc.)