VEKTOR + OpenAI Agents SDK: Production Memory in Three Lines

The OpenAI Agents SDK gives you execution primitives: tools, handoffs, guardrails. What it doesn’t give you is memory. By default, every agent run is isolated. The agent doesn’t know what it decided last time. It doesn’t remember the user’s preferences. It has no concept of project history. You either manage context manually — which scales poorly — or you pay for a proprietary cloud memory solution that puts your data off-premises. VEKTOR is the third option: local-first, one-time-purchase, zero-cloud persistent memory that integrates in three lines. Your agent gets a permanent, growing brain. Your data stays on your server. Your context window stays clean. import { createMemory } from ‘vektor-slipstream’; const memory = await createMemory({ provider: ‘openai’ }); await memory.remember(”User wants to deploy on Vercel.”); That’s it for the baseline. But the real power comes from wiring VEKTOR into your agent’s tool loop — so it remembers and recalls automatically, without any manual con