emem_entity_resolve
shallowio.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"}
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
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | 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
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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