Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.
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Updated
May 14, 2026 - Python
Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.
Deterministic execution authorization for AI agents
Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.
Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.
Runtime guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.
Irreversible action classifier for autonomous AI agents. Zero-dependency, sub-5ms
Production runtime guardrails for AI agents: budget caps, circuit breakers, and OpenTelemetry traces.
Stage0 authorization gate for LangGraph agents with Human-in-the-Loop support - demonstrates ALLOW/DENY/DEFER routing, interrupt/resume workflows, and state persistence
Enforce token budgets, loop limits, and tool rate limits in AI agent runtimes to control execution and prevent resource overuse.
AI Governance: The Foundation for Organized AI in Production — A Field Guide by Fabio Bastos. Published under CC BY 4.0.
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