Enables LLMs to safely write and run bpftrace scripts against the Linux kernel for observability, with explicit probe allowlists and execution timeout.
Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.
Enables MCP-capable LLM clients to perform read-only Linux system observation and OS algorithm experiments by exposing typed tools for memory, filesystem, process, and CPU scheduling data with controlled, safe boundaries.
Enables AI agents to inspect and manage Linux kernel-level eBPF security policies, including real-time status monitoring, policy retrieval, dynamic rule injection, and pre-execution SQL/syscall validation via natural language.