Mem0 is an intelligent memory layer for AI applications that allows LLMs to remember user preferences and past interactions across sessions.

Does it support async operations?

Absolutely. The templates utilize FastAPI's asynchronous capabilities and Mem0's AsyncMemory class for efficient I/O handling.

How does this skill handle performance?

It includes background task patterns to ensure memory storage operations don't block API responses, maintaining high application performance.

Can I use this with self-hosted vector databases?

Yes, the skill provides configuration templates for both the hosted Mem0 platform and self-hosted setups using providers like Qdrant.

Mem0 FastAPI Integration

Name: Mem0 FastAPI Integration
Author: vanman2024

byvanman2024

API開発

Integrates the Mem0 memory layer into FastAPI applications to manage long-term AI memory, user context, and conversation history.

概要

This skill provides a comprehensive suite of integration patterns for adding persistent memory to AI-driven FastAPI backends using Mem0. It offers ready-to-use templates for memory services, request-scoped middleware, and semantic search capabilities, enabling developers to build stateful AI agents that remember user preferences and past interactions. By implementing these patterns, you can optimize LLM performance with background task integration for non-blocking memory updates and structured user profile management.

主な機能

Semantic memory search for context retrieval
Background task integration for non-blocking storage
Request-scoped memory middleware for user tracking
0 GitHub stars
Pre-configured Mem0 service and client templates
User preference and behavioral tracking implementations

ユースケース

Building stateful AI chat applications that remember previous conversations
Adding long-term memory layers to existing FastAPI backends with vector store support
Implementing personalized AI agents that adapt to user preferences over time

概要

主な機能

Semantic memory search for context retrieval
Background task integration for non-blocking storage
Request-scoped memory middleware for user tracking
0 GitHub stars
Pre-configured Mem0 service and client templates
User preference and behavioral tracking implementations

ユースケース

Building stateful AI chat applications that remember previous conversations
Adding long-term memory layers to existing FastAPI backends with vector store support
Implementing personalized AI agents that adapt to user preferences over time