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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ezmemory-0.1.5.tar.gz
(43.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
ezmemory-0.1.5-py3-none-any.whl
(58.4 kB
view details)
File details
Details for the file ezmemory-0.1.5.tar.gz.
File metadata
- Download URL: ezmemory-0.1.5.tar.gz
- Upload date:
- Size: 43.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
302b7a6da7e2cd0168fadb8d764dce7ef9c368b4ab54fe12192eec48a7b6c74b
|
|
| MD5 |
43c4da97040fa06a3f27a29a26599cbf
|
|
| BLAKE2b-256 |
64321eb49efd3599006b81208d5509d91b9797ea26895a2174260be6c34178c2
|
File details
Details for the file ezmemory-0.1.5-py3-none-any.whl.
File metadata
- Download URL: ezmemory-0.1.5-py3-none-any.whl
- Upload date:
- Size: 58.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4066879625d7a120fc91eb9314c74d50b094b5787edda4296742302a343ceb4c
|
|
| MD5 |
fcf15aa6e8d3b20ca5fdd2b32b1a0920
|
|
| BLAKE2b-256 |
9c3df18dde82c1f6db833e539f4b2bb2f8e8f8a64e443f1deb59840da312ef1a
|
