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CLUSTER DASHBOARD-OBSERVABILITY-AGENT · 5 ENTRIES · EARLIEST ENTRY 2026-09-01

Self-hosted AI observability dashboards

This cluster comprises self-hosted observability dashboards for AI workflows, monitoring agent runs, skills, and coding prompts with metrics on tokens, costs, errors, and tool usage. The dated history is too thin to read a shape from, as only one entry predates the index. Among the three members, datool leads in traction with 5 stars, while gouvra and rubberai each have 1 star.

Entry timeline

ENTRY TIMELINE

JAN 2026: 1SEP 2026: 3OCT 2026: 1
JAN 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 5 unlabelled

Operator · 2 hobby · 1 indie · 2 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01datool5★21 days—Open-source AI observability app for organizations to trace spans, store prompts and datasets, run evaluations, and monitor metrics by project.
  2. 02gouvra1★8 days—hobbySelf-hosted observability dashboard that monitors AI agent runs, showing live model calls, tool calls, tokens, costs, errors, and failure explanations.
  3. 03rubberai1★24 daysliveindieSelf-hosted observability dashboard that tracks AI coding prompts, changed files, token usage, and cost for development teams.
  4. 04skillhub0★1 mo—Observability dashboard that catalogs AI-agent skills, maps tool dependencies, tracks usage, and reports governance findings.
  5. 05Dhara-Ecosystem1★8 mostalelivehobbyObservability dashboard that tracks and forecasts the carbon footprint of large language model API calls to help developers optimize emissions and reporting.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.