{"uid":"cap_OUwg9epxh1_zw1naSckOL","slug":"turboshop-ai-agent-memory-service-bab33d14","name":"turboshop.ai Agent Memory Service","description":"Persistent vector memory and knowledge graph as a service for autonomous agents. Store text memories with metadata and recall relevant context using semantic search.","url":"https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"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"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2uv3M95FkrPIlpPkETIX4","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Stores and semantically retrieves text memories with metadata for autonomous agents using vector search and knowledge graph technology.","exampleAgentPrompt":"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'.","exampleUseCases":[{"title":"Persistent context across agent sessions","prompt":"Save the memory 'Completed onboarding step 3: API keys configured on 2024-01-15' to namespace 'onboarding-agent-007' with metadata tag stage=onboarding, so my agent can pick up where it left off next session."},{"title":"Semantic recall for task planning","prompt":"Search my agent's memory namespace 'project-alpha' for the top 5 memories most relevant to 'pending deliverables and blockers' so the agent can plan today's work."},{"title":"Multi-agent shared knowledge base","prompt":"Store the insight 'Supplier X has a 3-week lead time on orders over 500 units' in the shared namespace 'supply-chain-agents' with metadata source=negotiation-agent, so all agents in the fleet can access it."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:41:59.377Z","isFirstParty":false,"canonicalSlug":"turboshop-ai-agent-memory-service-bab33d14"}