NodeLoom

What it does

NodeLoom gives engineering teams visibility and control over AI agents in production. When agents go off-script or make unauthorized tool calls, you need more than logs. Monitor behavior in real time, enforce runtime guardrails, and generate compliance reports for SOC 2, HIPAA, GDPR and SOX, all backed by cryptographic audit trails. SDKs in Python, TypeScript, Java, and Go let you instrument existing agents without migrating to a new orchestration layer.

The runtime control plane for AI agents. Discover every agent, monitor every execution, enforce guardrails, and maintain compliance, all from one platform.

See every agent, control every execution, govern every output. Full observability, guardrails, and compliance. Built into your AI stack. Find AI agents you didn't know existed. Automatically scan cloud providers, Anthropic Managed Agents, GitHub repos, MCP gateways, and eBPF probes to build a complete inventory with risk scores. Bring any AI agent into NodeLoom's monitoring pipeline. Install a lightweight SDK, add a few lines of code, and get full observability across LangChain, CrewAI, Anthropic Managed Agents, or any custom framework. from nodeloom import NodeLoom client = NodeLoom(api_key= "sdk_..." ) # Wrap your existing agent trace = client.trace( "support-agent" ) with trace.span(…from nodeloom.io

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