TypeScript AI agent runtime control — enforce LLM cost limits, action permissions, and audit trails for agents before execution.
Runtime budget, action, and audit authority for OpenClaw agents — enforce LLM cost limits, tool call caps, and audit trails before execution.
MCP server for Cycles — runtime budget authority for autonomous agents
Runtime authority for AI agents in Rust — hard limits on agent spend, risky tool actions, and audit gaps. Tokio-native client for the Cycles protocol (reserve-commit lifecycle, RAII guards).
Google Home integration framework