{"uid":"cap_7326Nf9_b0aJ8sH1GnI9u","slug":"api-memoryapi-org-351408a1","name":"MemoryAPI Store Memory","description":"Semantically search stored agent memories using natural language","url":"https://api.memoryapi.org/x402/memory","method":"GET","headers":{},"bodySchema":{"properties":{"input":{"required":["method"],"properties":{"method":{"enum":["GET"],"type":"string"}}}}},"responseSchema":{"example":{"memory":{"id":"uuid","content":"User prefers dark mode","created_at":"2026-01-01T00:00:00Z"},"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_75c_wq9KwcIzpelbmF9Q_","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Stores a memory entry for an AI agent for later retrieval","exampleAgentPrompt":"Save this to my agent's memory: 'The user prefers responses in bullet points and their timezone is UTC-5.'","exampleUseCases":[{"title":"Customer preference tracking for support agents","prompt":"Remember this for future interactions: Our client uses technical jargon, always wants cost breakdowns in their quotes, and prefers email over phone calls."},{"title":"Multi-session conversation context preservation","prompt":"Store that we discussed migrating their database last week and they were concerned about downtime—my agent should reference this next time they contact us."},{"title":"Persistent knowledge base for agent teams","prompt":"Save to memory that Sarah's company uses Salesforce as their CRM, their fiscal year ends in June, and they have 15 employees across 3 locations."}],"resultDescription":"A confirmation that the memory has been stored, along with a memory ID or acknowledgment record that can be used to retrieve or reference the memory later.","failureModes":["Missing or empty memory content returns an error","Payment not processed causes 402 response","Invalid agent identifier causes rejection","Memory content too large exceeds payload limits","Network timeout or service unavailability returns 5xx error"],"whenToPreferThis":"Use this endpoint when you need to persist a discrete piece of information for an AI agent between sessions or across calls, and you are operating in an x402 micropayment-enabled environment. Prefer this over in-context storage when you need durable, cross-session memory for an agent.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:39:09.778Z","isFirstParty":false}