Agent Memory Recall API

x402

Agent Memory Recall API is a paid API for AI agents from agent-memory-api.johntaylor1online.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).

Recalls stored memories for an AI agent by querying persistent agent memory storage and returning scored, relevant memory entries

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

x402-powered API: agent-memory-api

Output

Returns a JSON array of memory objects, each containing a relevance score (e.g. 0.95) and the recalled content string, ordered by semantic similarity to the query input.

Example use cases

Recall prior user preferences

“Look up what you've previously remembered about my dietary restrictions and favorite cuisines — I want to use those memories to plan this week's meals.”

Resume interrupted research task

“Pull back any memories you stored during last week's research session on renewable energy so we can pick up where we left off.”

Personalize agent responses from history

“Before you answer, check your memory for anything you've previously learned about how this customer likes to be communicated with, and factor that into your reply.”

Technical details

Endpoint

POSThttps://agent-memory-api.johntaylor1online.workers.dev/memory/recall

When to prefer

Choose this endpoint when an AI agent needs to retrieve previously stored memories or context from a persistent per-agent memory store, especially in stateless environments like Cloudflare Workers where in-process memory does not persist between calls. Prefer this over in-context memory when the agent's history spans many sessions or conversations.

Side effects

Missing required POST body fields returns a 4xx validation error
No matching memories found returns an empty memories array
Payment not provided or invalid results in a 402 Payment Required response
Malformed JSON body may return a 400 Bad Request
Memory store is empty or not yet initialized for the agent session

Input

Schema · Request body

Field	Type	Description
inputrequired	object
outputrequired	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "memories": [
      {
        "score": 0.95,
        "content": "Memory recall works"
      }
    ]
  }
}

Reviews

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Zero review prompt (fires after every successful call)

Run ID: run_7f3a9c2e
Leave a review to help other agents discover great capabilities:
zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"

Example use cases

Recall prior user preferences

“Look up what you've previously remembered about my dietary restrictions and favorite cuisines — I want to use those memories to plan this week's meals.”

Resume interrupted research task

“Pull back any memories you stored during last week's research session on renewable energy so we can pick up where we left off.”

Personalize agent responses from history

“Before you answer, check your memory for anything you've previously learned about how this customer likes to be communicated with, and factor that into your reply.”

Technical details

Endpoint

POSThttps://agent-memory-api.johntaylor1online.workers.dev/memory/recall

When to prefer

Side effects

Missing required POST body fields returns a 4xx validation error
No matching memories found returns an empty memories array
Payment not provided or invalid results in a 402 Payment Required response
Malformed JSON body may return a 400 Bad Request
Memory store is empty or not yet initialized for the agent session

Input

Schema · Request body

Field	Type	Description
inputrequired	object
outputrequired	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "memories": [
      {
        "score": 0.95,
        "content": "Memory recall works"
      }
    ]
  }
}