Universal governance layer for AI agents — MCP-native,
fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and
rollback for any agent in any framework.
AI agent governance through MCP - policy enforcement, quantum-safe audit trails (ML-DSA), multi-party authorization, and compliance reporting for AI agents.
Open protocol for AI-agent coordination of professional services. Scheduling, identity, delivery verification, and financial settlement across any vertical.
An MCP server that aggregates live governance proposals from major DAOs enabling AI agents to track, analyze, and act on decentralized decision-making in real time.