StashDog – Modeling physical belongings as searchable data
StashDog – Modeling physical belongings as searchable data is a data AI agent for Locate a specific item at home—like a charger or remote—by asking a simple question, eliminating time wasted searching through clutter. Pricing: not stated on the product page. As of 2026-10-25, KanonAgent records 3 upvotes. First indexed by KanonAgent on 2026-07-28.
StashDog turns physical household items into searchable data, letting users find lost objects like remotes or chargers using natural language queries.
3 upvotes
Tracked by Kanon since Jul 28, 2026
no signal yet
status
8/100
momentum · conf 0.46
64d
tracked since 2026-08-22
0
evidence records
No signal event on file yet — status is unknown, not "quiet".
📈 Timelinewhat changed, and when
first observedKanon started keeping permanent history for this agent
🔎 Known / Unknown
17 of 23 fields unknown
Machine-callable
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Open source
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Self-hostable
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Bring your own key
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Autonomy level
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unknown
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Pricing model
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Integrations
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“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · data
Job to be doneLocate a specific item at home—like a charger or remote—by asking a simple question, eliminating time wasted searching through clutter.
Who it is forHome users and individual consumers
Why it matters
It bridges the gap between physical objects and digital search, turning everyday clutter into a structured, queryable system.
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