Multi-Agent Personal Assistant with an Advanced Memory System
Project description
MIRIX - Multi-Agent Personal Assistant with an Advanced Memory System
Your personal AI that builds memory through screen observation and natural conversation
| 🌐 Website | 📚 Documentation | 📄 Paper |
Key Features 🔥
- Multi-Agent Memory System: Six specialized memory components (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault) managed by dedicated agents
- Screen Activity Tracking: Continuous visual data capture and intelligent consolidation into structured memories
- Privacy-First Design: All long-term data stored locally with user-controlled privacy settings
- Advanced Search: PostgreSQL-native BM25 full-text search with vector similarity support
- Multi-Modal Input: Text, images, voice, and screen captures processed seamlessly
Quick Start
End-Users: For end-users who want to build your own memory using MIRIX, please checkout the quick installation guide here.
Developers: For users who want to apply our memory system as the backend, please check out our Backend Usage. Basically, you just need to run:
git clone git@github.com:Mirix-AI/MIRIX.git
cd MIRIX
# Create and activate virtual environment
python -m venv mirix_env
source mirix_env/bin/activate # On Windows: mirix_env\Scripts\activate
pip install -r requirements.txt
Then you can run the following python code:
from mirix.agent import AgentWrapper
# Initialize agent with configuration
agent = AgentWrapper("./mirix/configs/mirix.yaml")
# Send basic text information
agent.send_message(
message="The moon now has a president.",
memorizing=True,
force_absorb_content=True
)
For more details, please refer to Backend Usage.
Python SDK (NEW!) 🎉
We've created a simple Python SDK that makes it incredibly easy to integrate Mirix's memory capabilities into your applications:
Installation
pip install mirix
Quick Start with SDK
from mirix import Mirix
# Initialize memory agent (defaults to Google Gemini 2.0 Flash)
memory_agent = Mirix(api_key="your-google-api-key")
# Add memories
memory_agent.add("The moon now has a president")
memory_agent.add("John loves Italian food and is allergic to peanuts")
# Chat with memory context
response = memory_agent.chat("Does the moon have a president?")
print(response) # "Yes, according to my memory, the moon has a president."
response = memory_agent.chat("What does John like to eat?")
print(response) # "John loves Italian food. However, he's allergic to peanuts."
License
Mirix is released under the Apache License 2.0. See the LICENSE file for more details.
Contact
For questions, suggestions, or issues, please open an issue on the GitHub repository or contact us at yuwang@mirix.io
Join Our Community
Connect with other Mirix users, share your thoughts, and get support:
💬 Discord Community
Join our Discord server for real-time discussions, support, and community updates: https://discord.gg/5HWyxJrh
🎯 Weekly Discussion Sessions
We host weekly discussion sessions where you can:
- Discuss issues and bugs
- Share ideas about future directions
- Get general consultations and support
- Connect with the development team and community
📅 Schedule: Friday nights, 8-9 PM PST
🔗 Zoom Link: https://ucsd.zoom.us/j/96278791276
📱 WeChat Group
WeChat Group
Star History
Acknowledgement
We would like to thank Letta for open-sourcing their framework, which served as the foundation for the memory system in this project.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file mirix-0.1.4.tar.gz.
File metadata
- Download URL: mirix-0.1.4.tar.gz
- Upload date:
- Size: 1.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4a1adf966ad1d0552936f720df4508c3569fbfaad752c4114c971d6127647b2b
|
|
| MD5 |
f4bd0746cb6c84767544d6f6202de6de
|
|
| BLAKE2b-256 |
054006e265825c99060a0ea6fd5236c9fb464b40c347236522eb20ea87ed603b
|
File details
Details for the file mirix-0.1.4-py3-none-any.whl.
File metadata
- Download URL: mirix-0.1.4-py3-none-any.whl
- Upload date:
- Size: 1.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
98bc17508dfbb39487280bb1811decc100a2e8e3207e9f53fca075197c37e666
|
|
| MD5 |
3e295ffc1c3b04a4f6983bcd1a067397
|
|
| BLAKE2b-256 |
62a07d0921a29413045d439437cb2a4103eafea5114caa642205df575d896cba
|