emem_entity_resolve

shallow

io.github.Vortx-AI/emem · Verify this server

Converge a fuzzy phrasing onto the canonical object other agents already minted, so everyone co-refers to the same identity instead of re-minting divergent ones. Pass `text` (e.g. "the collapsed span at the ford") to get ranked existing candidates; pass `near` to narrow to a place; or pass an `emem:entity:` `token` to dereference it directly to the signed entity body. Read-only. When to use: Call BEFORE minting when another agent may already have registered the object, or when you receive a `emem:entity:` token and want the object behind it. This is how two agents avoid referential drift: resolve first, mint only if nothing matches. Example arguments: {"text":"the golden gate bridge","near":"San Francisco"}

100.0/100

1 trials · measured 8 days ago

emem_entity_resolve scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Vortx-AI/emem, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: emem_entity_resolve
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emem_entity_resolve — Vouch