Huatuo: eBPF Observability for Linux Kernels and AI Agent Sandboxes
Huatuo brings kernel-level eBPF observability to Linux hosts and AI agent sandboxes — zero-instrumentation tracing, hardware error detection, and Grafana dashboards.
Modern AI workloads are no longer just containers — they are agent sandboxes running untrusted code, tool calls, and long-lived sessions on your hosts. Keeping them observable without slowing them down is a serious challenge. Huatuo solves this with eBPF: it gives you deep, real-time visibility into the Linux kernel, containers, and agent sandboxes — without modifying your applications or adding heavy agents.
🚀 Want to deploy Huatuo yourself?
Docker configs, system requirements, and installation guides — all on one page.
View Huatuo Tool Page →What Is Huatuo?
Huatuo is an open-source, eBPF-based observability platform (Apache-2.0, ~1K GitHub stars) from the CCF Open Source community. It captures kernel events, hardware errors, and runtime telemetry at the source — no code changes, no sidecars, no sampling blind spots. Because eBPF runs inside the kernel, you get near-zero overhead telemetry even under heavy AI workloads.
Why Observability Matters for AI Agents
AI agent sandboxes create unique operational risks: unexpected syscalls, container escapes, memory spikes, hardware faults, and opaque runtime behavior. Traditional APM tools only see application-level metrics. Huatuo sees what the kernel sees — which is exactly where sandbox boundaries are enforced.
Key Features
- Kernel-level tracing: syscall, event, and network visibility without instrumentation.
- Hardware error detection: RAS errors surfaced through a clean framework.
- Continuous profiling: CPU and memory flame graphs in Grafana.
- Agent sandbox focus: monitor what untrusted code actually does on your host.
- Built-in dashboards: metrics, traces, and profiling out of the box.
How It Fits Your Stack
Huatuo deploys alongside your existing infrastructure and exports to Grafana, so it complements rather than replaces your monitoring stack. For AI teams running local LLM servers, multi-agent frameworks, or containerized sandboxes, it closes the gap between "the app looks fine" and "what did the kernel actually execute?"
🚀 Want to deploy Huatuo yourself?
Docker configs, system requirements, and installation guides — all on one page.
View Huatuo Tool Page →If you run AI agents in production, kernel-level visibility is no longer optional. Huatuo gives you that visibility with eBPF efficiency — start with the tool page below and see your sandboxes from the inside out.