AI Agent Memory System with embeddings and vector storage
Project description
EzMemory
AI Agent Memory System with embeddings and vector storage
Installation
pip install ezmemory
Quick Start
After installation, launch the CLI:
ezmemory
The setup wizard will guide you through:
- Selecting a vector database (Qdrant, Pinecone, or Zilliz)
- Configuring your embedding provider (OpenAI, VoyageAI, OpenRouter, NVIDIA, or Gemini)
- Setting up your first collection
Features
- Multiple embedding provider support
- Multiple vector database support
- Interactive CLI for easy configuration
- FastMCP server for agent integration
- HTTP API server
- Memory lifecycle management
Documentation
For detailed configuration and usage, visit the GitHub repository.
License
[Your License Here]
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