Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.
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Aug 24, 2026 - Python
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Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.
Deterministic execution authorization for AI agents and automation systems
Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.
Execution harness for OpenClaw agents: evidence-first changes, verification gates, dangerous command controls, and codex-harness / claude-code-harness discoverability.
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.
Trusted autonomy T&E runtime that links mission needs, hazards, scenarios, telemetry, evidence, verification reports, and hash-chained ledgers so AI/autonomous decisions can be reviewed instead of merely trusted.
Irreversible action classifier for autonomous AI agents. Zero-dependency, sub-5ms
Runtime guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.
Production runtime guardrails for AI agents: budget caps, circuit breakers, and OpenTelemetry traces.
AI agent security SDK for runtime guardrails: control tool calls, source-chain provenance, budget limits, plan preflight, prompt-injection isolation, and adjudication tokens. Apache-2.0 Python SDK.
AI Governance: The Foundation for Organized AI in Production — A Field Guide by Fabio Bastos. Published under CC BY 4.0.
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.
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