AGISHub Memory Search is a paid API for AI agents from api.agishub.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Semantically searches a named memory namespace and returns the top-K most relevant stored entries using vector similarity — the retrieval half of a RAG pipeline.
Semantically search a memory collection (namespace) and return the most relevant stored entries. The retrieval half of RAG.
Returns a ranked list of up to top_k stored memory entries from the specified namespace that are most semantically similar to the query, ordered by relevance. Each entry reflects what was previously upserted into that namespace.
POSThttps://api.agishub.com/paid/memory-searchChoose this endpoint when an AI agent needs to retrieve contextually relevant stored knowledge from a named namespace before generating a response (classic RAG retrieval). Prefer it over keyword-based search when semantic similarity matters more than exact term matching, and when the data was previously upserted into this same provider's memory system.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
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