mem0-fastapi-integration

Persistent memory in FastAPI integrates a memory layer that stores and retrieves user context across sessions. This Skill provides Mem0 integration templates for memory services, client setup, and API routes, enabling semantic search and conversation persistence without rebuilding context on each request.

Yes. Mem0 integrates with FastAPI's async patterns through memory middleware and background tasks. This Skill includes templates for non-blocking memory persistence, supporting multiple vector stores like Qdrant and LLM providers like OpenAI for semantic indexing and retrieval.

Mem0 FastAPI integration supports multiple vector stores—Qdrant, Pinecone, Chroma—and LLM/embedder providers including OpenAI and Anthropic. This Skill provides configuration templates for both hosted and self-hosted Mem0 setups with your choice of backend.

Memory routes expose add, search, and summarize operations as FastAPI endpoints. This Skill includes ready-to-use memory route templates and background task patterns for storing user preferences and conversation history without blocking request handlers.

The Mem0 client pattern configures direct connection to memory infrastructure; the memory service pattern wraps memory operations in a reusable service layer. This Skill provides both templates—use client setup for simple projects and service pattern for scalable, testable architectures.

Yes. This Skill includes templates for organizing memory by type—user preferences, conversation context, summaries—using semantic search and tagging. Background memory storage keeps both data types synchronized and queryable without blocking the main request cycle.