memory_recall

Active

Tool of SqueezeOS — Institutional AI Market Intelligence

declared in 5.1.0

Memory Graph. Cost: 0.01 RLUSD. Literal keyword/tag search over an agent's own stored memories, ranked by recency. Not semantic or vector search — no embedding model is involved, and the response says so explicitly (match_method field). Pass payment_token from verify_payment plus agent_wallet.

Parameters schema

{
  "type": "object",
  "required": [
    "agent_id"
  ],
  "properties": {
    "tags": {
      "type": "string",
      "description": "comma-separated"
    },
    "type": {
      "type": "string"
    },
    "limit": {
      "type": "number"
    },
    "query": {
      "type": "string"
    },
    "agent_id": {
      "type": "string"
    },
    "agent_wallet": {
      "type": "string"
    },
    "payment_token": {
      "type": "string"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

SqueezeOS — Institutional AI Market Intelligence

https://github.com/timwal78/squeezeos

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