NodeLoom is a runtime control plane designed for monitoring, governing, and securing AI agent operations across diverse environments. It addresses the need for comprehensive observability, compliance, and operational control in the deployment and management of AI agents, particularly for organizations in regulated sectors such as healthcare, fintech, and legal, as well as AI-native startups. The platform enables users to discover every AI agent operating in their infrastructure, including those running on cloud providers like AWS Bedrock, Azure AI, and GCP Vertex, Anthropic Managed Agents, GitHub repositories and CI/CD pipelines, MCP gateways, and through eBPF kernel-level probes. NodeLoom automatically builds a complete inventory of agents and assigns risk scores, updating them hourly.
To instrument AI agents, NodeLoom provides SDKs for Python, TypeScript, Java, and Go, allowing integration with frameworks such as LangChain, CrewAI, and Anthropic Managed Agents, or with custom solutions. The SDKs enable structured tracing, token tracking, and non-blocking telemetry with auto-retry, supporting detailed monitoring of agent executions. The platform offers real-time monitoring, behavioral drift detection with configurable alerts, incident response playbooks (including auto-quarantine and rollback), and cryptographic audit trails using a tamper-proof hash chain. Compliance features include generating audit-ready reports for standards such as SOC 2, HIPAA, GDPR, ISO 42001, NIST AI RMF, and SOX, with one-click export options for auditors and board reviews. NodeLoom also supports SIEM export, streaming audit logs to platforms like Splunk, Datadog, Elasticsearch, or custom webhooks.
Security is a core aspect, with all credentials encrypted at rest and in transit using industry-standard encryption, sandboxed code execution in isolated Docker containers, and no shared state. 0 provisioning, and comprehensive audit logging for every action and API call. Automated adversarial testing is used for detecting prompt injection, jailbreaks, and data exfiltration attempts. Incident response is automated, including quarantine, rollback, and escalation upon detection of security events or guardrail violations.
NodeLoom is delivered as a solution that can be integrated into existing AI stacks and supports self-hosting options. It offers a free trial for new users. The platform is positioned as an enterprise-ready control plane for production AI agent operations, emphasizing compliance, security, and operational governance.
In the Agent monitoring & governance space, NodeLoom takes a focused approach. Lack of visibility, control, and compliance for organizations deploying and managing AI agents at scale. NodeLoom is a B2B product aimed at AI platform engineers. NodeLoom is paid. It ships for the web, the command line, and API.
NodeLoom first shipped in 2026. Key capabilities include agent discovery, real-time monitoring, and guardrails. It exposes integrations via a public API and an MCP server.
Summary written by a language model from the project’s public pages.
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