# turboshop.ai Agent Memory Service

> turboshop.ai Agent Memory Service is a paid API for AI agents from turboshop.ai, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-19).

Stores and semantically retrieves text memories with metadata for autonomous agents using vector search and knowledge graph technology.

## Facts

- Endpoint: GET https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy?utm_source=zero.xyz
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/turboshop-ai-agent-memory-service-bab33d14
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OUwg9epxh1_zw1naSckOL

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability turboshop-ai-agent-memory-service-bab33d14
```

Example prompt: Store the memory 'User prefers concise bullet-point responses and dislikes lengthy explanations' under namespace 'user-prefs-agent-42', then retrieve the top 3 memories most relevant to 'user communication style preferences'.

## When to prefer this

Choose this endpoint when you need persistent, semantically searchable memory for AI agents across sessions — particularly when exact keyword matching is insufficient and you need meaning-based recall. Ideal for autonomous agents that accumulate knowledge over time, multi-agent systems sharing a knowledge namespace, or any LLM application requiring stateful context beyond a single conversation window.

## Known failure modes

- Missing both 'text' and 'query' fields returns an error — at least one must be provided
- Invalid or empty namespace may result in memory isolation failures
- top_k values exceeding system limits may be capped or return an error
- Malformed metadata objects may be rejected
- Payment failure via x402 protocol returns 402 status before any memory operation

## How this service works

Persistent vector memory and knowledge graph as a service for autonomous agents. Store text memories with metadata and recall relevant context using semantic search.

## Output

Returns a list of the top-k semantically matched memory entries, each with the original text content, associated metadata, similarity scores, and namespace information. When storing, returns confirmation of the persisted memory entry with its assigned identifier.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "Memory content string to persist"
  },
  "query": {
   "type": "string",
   "description": "Semantic search query to recall relevant memories"
  },
  "top_k": {
   "type": "integer",
   "description": "Number of top memories to retrieve (default 5)"
  },
  "metadata": {
   "type": "object",
   "description": "Optional metadata key-value pairs"
  },
  "client_id": {
   "type": "string",
   "description": "Optional calling agent ID"
  },
  "namespace": {
   "type": "string",
   "description": "Agent memory partition / namespace"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/turboshop-ai-agent-memory-service-bab33d14/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from turboshop.ai](https://www.zero.xyz/host/turboshop.ai/llms.txt)