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Olympus v1.0.0 — first public release

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@AIEngineerX AIEngineerX released this 08 Jun 01:42
· 3 commits to main since this release
v1.0.0
866a31f

Changelog

All notable changes to Olympus are documented here. The format is based on
Keep a Changelog, and this project
follows Semantic Versioning.

1.0.0 - 2026-06-07

First public release. Olympus is a read-only HermesOS Agent Monitor dashboard
plugin: it reads local Hermes runtime evidence, ranks what needs attention,
explains the reason, and links to the Hermes page that owns each fix. It stays
read-only — it never mutates tasks, profiles, cron, gateways, routes, memory,
credentials, or config.

Added

  • Read-only plugin API: GET /health, GET /overview, GET /tuning, mounted
    by Hermes at /api/plugins/olympus/ behind the dashboard session-token flow.
  • Transparent readiness score with a full deduction breakdown and methodology.
  • Agent Monitor: speed, tokens, loop pressure, context pressure, reliability
    risk, and the top tuning actions.
  • Tuning queue: ranked recommendations, each with the evidence behind it and
    a handoff link to the Hermes-owned page.
  • Skill Coverage and Skill Hygiene: zero-skill profiles, forced-skill
    work, stale / never-used / recently-patched skills, hub trust and install-scan
    gaps, and stored skill audit status when Hermes records it locally.
  • Profile Fitness: per-profile readiness from workload, routing, gateway
    state, cron load, failures, loop and context pressure.
  • Pantheon (accessible): keyboard-operable profile map with trigger lanes
    and an activity feed.
  • Kanban Intelligence and Trace Spine: board pressure, workers, retries,
    assignee load, and correlation across sessions, tasks, runs, and events using
    hashed refs (no transcript content).
  • Tool Policy & Aux Cost: config-posture security signals (browser privacy
    flags, loop-stop guardrails, auxiliary route cost visibility, fallback route
    audit) from safe config structure only.
  • Performance Tracking, Evidence Sources, and Production Diagnostics
    for an auditable, budgeted read model.
  • Deterministic ops evals: reliability, routing, skill-use, and efficiency
    signals labeled as operational evals (not answer-quality judgments).

Security & privacy

  • Read-only by default; no mutation, credential-reveal, or shell-execution routes.
  • SQLite opened read-only; secret-like text redacted before it is returned.
  • Session, cron, Kanban run, worker, and event identifiers use hashed public refs
    by default. Local labels and paths are hidden unless
    OLYMPUS_EXPOSE_LOCAL_LABELS=1 is set on a private machine.

Tests & CI

  • Python unit tests: privacy contract, skill hygiene, trace spine, and ops evals
    (real SQLite fixtures, no mocks).
  • Smoke suites: visual fixtures, live render, payload security, response-budget
    performance, and a Hermes Desktop preflight.
  • verify workflow runs backend compile, backend unit tests, frontend parse,
    whitespace check, and the visual smoke on push and pull request.
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