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llmai-agentsinfrastructureapi-integrationpythonragopen-sourcecontext-engineeringmem0ai

mem0ai

mem0ai provides an open-source memory layer for AI applications, enabling LLMs to retain context and learn from interactions. It overcomes statelessness and limited context windows, enhancing AI intelligence and personalization.

beginner5 min4 steps

The play

Install mem0ai Library
Use pip to install the `mem0` Python package. This provides the core memory functionality.
Initialize the Memory Layer
Import `mem0` and create a `Memory` instance. This sets up your memory store (defaulting to in-memory or local storage).
Add Information to Memory
Store context or facts into the memory layer using the `add()` method. This builds your AI's knowledge base.
Retrieve Relevant Memories
Query the memory layer to fetch information relevant to a specific input or user query using `get()`. This allows your AI to recall past context.

Starter code

import mem0

# Initialize mem0 with default settings
m0 = mem0.Memory()

# Add memories to the system
m0.add("The user's favorite color is blue.")
m0.add("The user is planning a trip to Japan next month.")

# Get relevant memories for a query
relevant_memories = m0.get("What is the user's travel plan?")
print(f"Relevant memories: {relevant_memories}")

Source

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