Memro ensures AI retrieves the right information by combining retrieval, reasoning, and verification—so your systems stay accurate, stateful, and production-ready.
Vector databases retrieve similar data. Memro ensures it’s correct.
Retrieve only what matters—relevant and verified context that eliminates hallucinations.
Performant retrieval that keeps your agent loops snappy and responsive.
Verified memory leads to more accurate outputs and reliable autonomous workflows.
Vector databases return what is similar, not what is correct. Similarity does not equal accuracy.
Context becomes outdated or redundant over time, leading to inconsistent agent behavior.
Traditional RAG pipelines assume retrieved data is true. Memro verifies every fact.
Memro sits between your data and your model, ensuring every piece of retrieved context is accurate, relevant, and verified before it reaches the model.
It combines fast retrieval with reasoning and verification to enable reliable AI systems in production.
Ingest structured and unstructured data into a graph-aware substrate.
Low-latency retrieval surfaces relevant data with semantic precision.
Cross-references and ensures correctness before usage.
Maintains relationships and context consistency over time.
| Feature | Vector DBs | Memro |
|---|---|---|
| Similarity Search | ✅ | ✅ |
| Verification Layer | ❌ | ✅ |
| Reasoning Engine | ❌ | ✅ |
| Context Awareness | ❌ | ✅ |
| Reliability Guarantee | ❌ | ✅ |
Simple APIs. Sub-10ms latency. Production-ready. Give your agents a permanent, verified memory with a few lines of code.
import { Memro } from '@memro/sdk';
const mem = new Memro({ apiKey: 'mem_...' });
// Store memory with verification
await mem.remember("User prefers dark mode", {
verify: true
});
// Retrieve verified context
const context = await mem.recall("user preferences");
Memro retrieves only verified and relevant context, reducing prompt size and unnecessary tokens—lowering LLM costs while improving accuracy.
As AI systems become more autonomous, memory becomes the critical bottleneck. Memro provides the infrastructure needed to make AI systems reliable, consistent, and trustworthy.