Skip to main content

Mem0: Long-Term Memory for LLMs

Mem0 provides a smart, self-improving memory layer for Large Language Models, enabling personalized AI experiences across applications.

Features

  • Persistent memory for users, sessions, and agents
  • Self-improving personalization
  • Simple API for easy integration
  • Cross-platform consistency

Quick Start

Installation

pip install mem0

Usage

from mem0 import Mem0

# Initialize client
client = Mem0(api_key="your-api-key")

# Add memory
client.add("User preference: dark mode", user_id="user123")

# Retrieve memories
memories = client.get_all(user_id="user123")

# Update memory
client.update(memory_id, data="Updated information")

# Delete memory
client.delete(memory_id)

Documentation

For detailed usage and API reference, visit our documentation.

Getting Started

  1. Sign up at Mem0 Platform
  2. Get your API key from the dashboard
  3. Install the SDK and start integrating

Support

Join our slack or discord community for support and discussions.

License

Apache 2.0

Metadata

Release files for memzero 0.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for memzero 0.0.7
File Size Uploaded
memzero-0.0.7.tar.gz 4.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for memzero 0.0.7
File Interpreter ABI Platform
memzero-0.0.7-py3-none-any.whl Python 3 none any Details

Total release size: 9.8 kB

Release files / memzero-0.0.7.tar.gz

Download URL memzero-0.0.7.tar.gz
Size 4.5 kB
Tags Source
SHA-256 checksum
How to use checksums
0c1f413d8ee0ade955fe9f8b8f5aff2cf58bc94869537aca62139db3d9f50725
BLAKE2b-256 checksum
How to use checksums
c44bd9a0cc3eb44dfcf9fd8c468df2c50c618762f033aec5f1d5db438f52acbe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.11.6 Darwin/23.5.0

Release files / memzero-0.0.7-py3-none-any.whl

Download URL memzero-0.0.7-py3-none-any.whl
Size 5.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
65f6da88d46263dbc05621fcd01bd09616d0e7f082d55ed9899dc2152491ffd2
BLAKE2b-256 checksum
How to use checksums
6dfe795bf77eda2caed4cadb8e641fb3e420a8ea16aba8d61f188b3ef6feb216
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.11.6 Darwin/23.5.0

Release history Release notifications | RSS feed

This release

0.0.7 This release

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

0.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page