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Agno supports using MongoDB asynchronously as a storage backend for Agents, with the AsyncMongoDb class.

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Usage

You need to provide either db_url or client. The following example uses db_url.

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Run MongoDB

Install docker desktop and run MongoDB on port 27017 using: 
docker run -d \
  --name local-mongo \
  -p 27017:27017 \
  -e MONGO_INITDB_ROOT_USERNAME=mongoadmin \
  -e MONGO_INITDB_ROOT_PASSWORD=secret \
  mongo
async_mongodb_for_agent.py
"""
Run `uv pip install agno openai motor pymongo` to install dependencies.
"""
from agno.agent import Agent
from agno.db.mongo import AsyncMongoDb
from agno.tools.hackernews import HackerNewsTools

# MongoDB connection settings
db_url = "mongodb://localhost:27017"

db = AsyncMongoDb(db_url=db_url)

agent = Agent(
    db=db,
    tools=[HackerNewsTools()],
    add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

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Params

ParameterTypeDefaultDescription
idOptional[str]-The ID of the database instance. UUID by default.
db_clientOptional[MongoClient]-The MongoDB client to use.
db_nameOptional[str]-The name of the database to use.
db_urlOptional[str]-The database URL to connect to.
session_collectionOptional[str]-Name of the collection to store sessions.
memory_collectionOptional[str]-Name of the collection to store memories.
metrics_collectionOptional[str]-Name of the collection to store metrics.
eval_collectionOptional[str]-Name of the collection to store evaluation runs.
knowledge_collectionOptional[str]-Name of the collection to store knowledge documents.
traces_collectionOptional[str]-Name of the collection to store traces.
spans_collectionOptional[str]-Name of the collection to store spans.