asheshgoplani/agent-deck

AI Agent · tested 2026-06-07 · re-test due 2026-09-07 · by the Hlido desk, not the vendor

In short: agent-deck is an individual developer's agent dashboard or control panel project — the 'deck' metaphor (a control deck) is evocative, but the surface is GitHub-only and early stage.

Quick answer

asheshgoplani/agent-deck scores 40/100 (FADING) on Hlido’s independent, hands-on test (reviewed 2026-06-07). FADING (40) — individual GitHub project, no product site or documentation.

agent-deck by asheshgoplani appears to be a dashboard or control-panel project for managing AI agents — a 'deck' in the nautical/control sense, giving a single-pane view over multiple agents or agent runs. This concept aligns with a real need: as agent systems scale, operators need a unified interface to monitor, configure, and interact with multiple agents. However, the GitHub-only surface at review time means this is either a personal experiment or a very early product that has not reached public-launch readiness. The individual developer origin and absence of any product page make evaluation difficult. Worth monitoring if a product site or documentation appears.

Why FADING

FADING (40) — individual GitHub project, no product site or documentation. Concept is directionally interesting (agent control panel), but insufficient surface for evaluation.

What it does well

What it fails at

Red flags

Best for

  • Developers exploring agent dashboard patterns

Not recommended for

  • Production agent monitoring
  • Non-technical evaluators

Related agents

Agent relevance

Behavioral-testable

Agentic-Commerce Readiness 20/100 · CLOSED

Independent readiness for agent delegation & transaction. How it’s scored · check live

Unknown — insufficient documentation to determine integration path.

Agent-friendly score: 3/10

Evidence

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-09-07

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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Hlido trust score

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Markdown

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