Nicheloom

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agentcap

eBPF Prometheus exporter for AI-agent activity — per-agent tools, domains, ports, files, CPU & network — with a Grafana dashboard. A yeet service.

This is 1 of 461 launches in AI agent infrastructure and tooling — see how it stacks up on momentum and crowding →

415 other launches read as similar to this one →

Details

External ID
1395919528
Source
GITHUB
Company
—
Product
agentcap
Website domain
yeet.cx
Launched
Sept. 29, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.33828020031757666
Tags
ai-agents, aider, audit, bpf, claude-code, codex, coding-agents, cursor, ebpf, gemini, goose, grafana, observability, openclaw, opencode, prometheus, prometheus-exporter, security, yeet
Fetched at
Oct. 2, 2026, 1:02 a.m.
Updated at
Oct. 2, 2026, 1:02 a.m.

Enrichment

Theme
AI agent infrastructure and tooling
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
ebpf prometheus exporter for ai agent activity
Manually corrected
False

Could you build this?

No Building eBPF kernel probes to trace per-process network sockets, file I/O, and CPU metrics into Prometheus metrics requires deep Linux kernel internals and systems programming expertise.

What it would actually take: The system requires writing C/eBPF programs (using libbpf/CO-RE or Aya) attached to kernel tracepoints, kprobes, or sockops to inspect socket lifecycles, TCP/UDP packets, and process syscalls (execve, openat) with minimal overhead. A userspace daemon written in Rust or Go must manage eBPF maps, handle ring buffers, enrich kernel events with process metadata, and export them as Prometheus metrics. This requires deep expertise in Linux kernel internals, eBPF verifier constraints, and low-latency systems development.

Competitors

Other products that read as similar to this one — 415 launches clear the similarity bar, closest 8 shown.

Attention rank: #256 of 416 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.