{"uid":"cap_ipIznv1jer1zYHwBs0KdM","slug":"agent-memory-recall-api-8089dad0","name":"Agent Memory Recall API","description":"x402-powered API: agent-memory-api","url":"https://agent-memory-api.johntaylor1online.workers.dev/memory/recall","method":"POST","headers":{},"bodySchema":{"$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"body":{},"enum":["POST"],"type":"string","bodyType":"json"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"memories":[{"score":0.95,"content":"Memory recall works"}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_5wG_pN1PAh8UHmHGuhtPx","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Recalls stored memories for an AI agent by querying persistent agent memory storage and returning scored, relevant memory entries","exampleAgentPrompt":"Search my agent's memory for anything it has previously stored about the user's travel preferences and return the most relevant memories with their confidence scores.","exampleUseCases":[{"title":"Recall prior user preferences","prompt":"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."},{"title":"Resume interrupted research task","prompt":"Pull back any memories you stored during last week's research session on renewable energy so we can pick up where we left off."},{"title":"Personalize agent responses from history","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T12:34:19.707Z","isFirstParty":false}