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.

🛡️ Kernel-level governance for AI agents — policy enforcement, action interception, OWASP Agentic Top 10 coverage. Works with LangChain, CrewAI, AutoGen, OpenAI, Google ADK, PydanticAI, smolagents.

OpenTelemetry-based tracing SDK for AI agents and LLM applications

JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2020-12.

🔐 Zero-trust networking for AI agents — DID identity, trust scoring, delegation chains, MCP governance proxy. SSL for AI Agents.

AI got hands. This is the leash. Policy, audit, kill switch for any AI agent with access to your accounts.

Site reliability engineering for AI agents — SLOs, error budgets, chaos testing, circuit breakers, cascading failure detection, OpenTelemetry observability.

AgentGovernor is a declarative AI workflow planner that enables secure, auditable, and cost-efficient MCP tool execution through validated PlanYAML workflows.

Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.

A decentralized protocol for agent trust, dialogue, and influence in open multi-agent systems.

🛡️ A curated list of tools, frameworks, standards, and resources for AI agent governance, safety, and compliance

A protocol engine for governing AI agent workflows through spec driven work and checkpoints.

Execution safety & governance layer for AI agents: idempotency, budgets, tool control, audit logs.

Enterprise-grade governance and policy enforcement for agentic AI systems.

Minimal, execution-agnostic specification for AI agent governance and declarative boundaries before interaction.

Sovereign AI governance interface for capsule-based agent ecosystems. Patent-backed. SLPL licensed.

Canonical spec + RFCs for Agent Authority Protocol (AAP): human authority, proposal/evidence lifecycle, auditable world-state transitions.

Runtime governance for AI agents — execution rings, resource limits, saga compensation, kill switch. The hypervisor layer of the agent governance stack.

MCP server for AI agent governance. Pre-execution tool call validation, drift detection, circuit breakers, human-in-the-loop holds. Sub-millisecond latency.

Asia's first AI-governed horror venue RWA. 1.33x Rent Coverage. Real-time POS Data Oracle for Global Treasuries.