ingero-io/ingero
MCP Data & StorageGPU Causal Observability – a production‑grade eBPF agent that traces full causal chains from Linux kernel events through CUDA API calls to Python source lines with <2% overhead, zero code changes, and one binary.
Features
- Correlates CPU scheduler, CUDA Runtime, Driver, Graph, and NCCL events into causal timelines
- Provides driver‑level visibility for cuBLAS/cuDNN/torch.compile calls missed by other profilers
- Attributes native frames to Python source lines (file:line in func) via userspace memory walking
- Exposes an AI‑queryable Model Context Protocol server (`ingero mcp`) for natural‑language root‑cause queries
- <2% overhead, zero code changes, single binary installation
Recent releases
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Install & Platforms
Install via
shell-script
Platforms
linux
