MongoDB Provider

The MongoDB provider offers a lightweight starting point for experimentation or hosted Atlas deployments. It is implemented in src/memorizz/memory_provider/mongodb/.

Installation

pip install -e ".[mongodb]"

Configuration

from memorizz.memory_provider.mongodb import MongoDBProvider, MongoDBConfig

provider = MongoDBProvider(MongoDBConfig(
    uri=os.environ["MONGODB_URI"],
    database="memorizz",
    collection_prefix="agents",
))

Collections are created lazily (e.g., agents_personas, agents_knowledge_base). Each document stores:

• Serialized payload (data)
• Embedding vectors (array fields you can index with MongoDB Atlas Vector Search)
• Agent + namespace metadata

Atlas Vector Search

1. Enable the Vector Search preview on your cluster.
2. Create an index per collection referencing the embedding field.
3. Configure the provider with your embedding model dimensions.

When to Choose MongoDB

• Prototype agents without running Oracle locally
• Serverless / hosted deployments where MongoDB Atlas is already approved
• Horizontal scaling scenarios using MongoDB's built-in sharding

Use MongoDB for agility and switch to Oracle when you need stronger relational guarantees or AI Vector Search optimizations.