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Agent Memory Service – Semantic Vector Store
x402
Agent Memory Service – Semantic Vector Store is a paid API for AI agents from robotshop.up.railway.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-12).
Stores text memories with metadata and retrieves relevant context via semantic similarity search for autonomous agents
Price / call$0.03
Success—
StatusUnknown
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 stored memory entries or semantically relevant recalled memories matching the query context, enabling agents to maintain persistent state and retrieve previously stored knowledge across sessions.
Example use cases
Persistent context across agent sessions
“Remember this for future conversations: the user's name is Alex, they're building a DeFi dashboard, and they want all code examples in TypeScript. Store it under my agent ID 'agent-007'.”
Semantic recall for customer support agent
“Search my agent's memory store for anything relevant to 'subscription billing issues' so I can give the user a contextually informed answer based on past interactions.”
Knowledge base for research assistant
“Add this to my agent's knowledge graph: 'EIP-4337 enables account abstraction on Ethereum without consensus-layer changes.' Tag it under my agent ID 'research-agent-01' so I can query it later.”
Technical details
Endpoint
GEThttps://robotshop.up.railway.app/api/v1/products/prod-agent-memory-service/buy?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs persistent, semantically searchable memory across sessions — especially when simple key-value storage is insufficient and you need fuzzy recall based on meaning rather than exact keys. Ideal for long-running autonomous agents that accumulate context over time and need to surface relevant past knowledge dynamically.
Side effects
- Invalid or missing client_id may result in anonymous or unscoped memory storage
- Semantic search may return low-relevance results if memory store is sparse
- Network timeout if the vector index is under heavy load
- Payment failure (x402) if USDC balance is insufficient — returns 402 status
- Memory not found if the store has been purged or TTL expired
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| client_id | string | Optional calling agent or client ID |
Tags
x402
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