config = {
    "vector_store": {
        "provider": "valkey",
        "config": {
            "collection_name": "test",
            "valkey_url": "valkey://localhost:6379",
            "embedding_model_dims": 1536,
            "index_type": "flat"
        }
    }
}

m = Memory.from_config(config)
messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})

import { Memory } from 'mem0ai/oss';

const config = {
  vectorStore: {
    provider: 'valkey',
    config: {
      collectionName: 'test',
      valkeyUrl: 'valkey://localhost:6379',
      embeddingModelDims: 1536,
      indexType: 'flat',
    },
  },
};

const memory = new Memory(config);
const messages = [
  { role: 'user', content: "I'm planning to watch a movie tonight. Any recommendations?" },
  { role: 'assistant', content: 'How about thriller movies? They can be quite engaging.' },
  { role: 'user', content: "I'm not a big fan of thriller movies but I love sci-fi movies." },
  { role: 'assistant', content: "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future." },
];
await memory.add(messages, { userId: 'alice', metadata: { category: 'movies' } });