Companies like OpenAI built "Super AI" that threatens human independence. We crave individuality: AI that amplifies, not erases, you.

We’re challenging that with "Second Me": an open-source prototype where you craft your own AI self—a new AI species that preserves you, delivers your context, and defends your interests.

It’s locally trained and hosted—your data, your control—yet globally connected, scaling your intelligence across an AI network. Beyond that, it’s your AI identity interface—a bold standard linking your AI to the world, sparks collaboration among AI selves, and builds tomorrow’s truly native AI apps.

Join us. Tech enthusiasts, AI pros, domain experts—Second Me is your launchpad to extend your mind into the digital horizon.

Start training your Second Me today with your own memories! Using Hierarchical Memory Modeling (HMM) and the Me-Alignment Algorithm, your AI self captures your identity, understands your context, and reflects you authentically.

Launch your AI self from your laptop onto our decentralized network—anyone or any app can connect with your permission, sharing your context as your digital identity.

Roleplay: Your AI self switches personas to represent you in different scenarios.
AI Space: Collaborate with other Second Mes to spark ideas or solve problems.

Unlike traditional centralized AI systems, Second Me ensures that your information and intelligence remain local and completely private.

Star and join us, and you will receive all release notifications from GitHub without any delay!

xcode-select --install

sudo xcodebuild -license accept

git clone [email protected]:Mindverse/Second-Me.git
cd Second-Me

make docker-build

make docker-up

make docker-down

make docker-restart-all

make docker-restart-backend

make docker-restart-frontend

PLATFORM=apple DOCKER_BACKEND_DOCKERFILE=Dockerfile.backend.apple docker-compose up -d --build

# Set up Python Environment
conda create -n secondme python=3.12
conda activate secondme

# (Recommand) Install Poetry inside the Conda environment
# This avoids using system-wide Poetry and keeps dependencies isolated
pip install poetry

# (Optional) Set a custom Python package index (e.g., TUNA mirror for better speed in China)
poetry source add tuna https://pypi.tuna.tsinghua.edu.cn/simple
poetry source set-default tuna

poetry install --no-root --no-interaction

# Install specific version of GraphRAG from local archive
# ⚠️ Adjust the path separator based on your OS (e.g., \ on Windows, / on Unix)
pip install --force-reinstall dependencies\graphrag-1.2.1.dev27.tar.gz 

# Install Frontend Dependencies 
cd lpm_frontend
npm install
cd ..

# Build llama.cpp Dependencies 
unzip -q dependencies/llama.cpp.zip
cd llama.cpp
mkdir -p build && cd build
cmake ..
cmake --build . --config Release
cd ../..

# Initialize SQL Database
mkdir -p "./data/sqlite"
cat docker/sqlite/init.sql | sqlite3 ./data/sqlite/lpm.db

# Initialize ChromaDB Database
mkdir -p logs
python docker/app/init_chroma.py

# Start the Backend Server (develop mode)
python -m flask run --host=0.0.0.0 --port=8002 >> "logs/backend.log" 2>&1
# If deploying in a production environment, please use `nohup` and `disown` commands to keep it running persistently in the background.

# Start the Frontend Server (Open Another Terminal Shell)
cd lpm_frontend
npm run build
npm run start

After starting the service (either with local setup or Docker), open your browser and visit:

http://localhost:3000

make help

1. Ensure you have sufficient disk space (at least 10GB recommended)
2. If using local setup with an existing conda environment, ensure there are no conflicting package versions
3. First startup may take a few minutes to download and install dependencies
4. Some commands may require sudo privileges

If you encounter issues, check:

1. For local setup: Python and Node.js versions meet requirements
2. For local setup: You're in the correct conda environment
3. All dependencies are properly installed
4. System firewall allows the application to use required ports
5. For Docker setup: Docker daemon is running and you have sufficient permissions

🛠️ Feel free to follow User tutorial to build your Second Me.

💡 Check out the links below to see how Second Me can be used in real-life scenarios:

• Felix AMA (Roleplay app)
• Brainstorming a 15-Day European City Itinerary (Network app)
• Icebreaking as a Speed Dating Match (Network app)

• Discord
• Reddit
• X

The following features have been completed internally and are being gradually integrated into the open-source project. For detailed experimental results and technical specifications, please refer to our Technical Report.

• Long Chain-of-Thought Training Pipeline: Enhanced reasoning capabilities through extended thought process training
• Direct Preference Optimization for L2 Model: Improved alignment with user preferences and intent
• Data Filtering for Training: Advanced techniques for higher quality training data selection
• Apple Silicon Support: Native support for Apple Silicon processors with MLX Training and Serving capabilities

• Natural Language Memory Summarization: Intuitive memory organization in natural language format

We welcome contributions to Second Me! Whether you're interested in fixing bugs, adding new features, or improving documentation, please check out our Contribution Guide. You can also support Second Me by sharing your experience with it in your community, at tech conferences, or on social media.

For more detailed information about development, please refer to our Contributing Guide.

We would like to express our gratitude to all the individuals who have contributed to Second Me! If you're interested in contributing to the future of intelligence uploading, whether through code, documentation, or ideas, please feel free to submit a pull request to our repository: Second-Me.

Made with contrib.rocks.

This work leverages the power of the open-source community.

For data synthesis, we utilized GraphRAG from Microsoft.

For model deployment, we utilized llama.cpp, which provides efficient inference capabilities.

Our base models primarily come from the Qwen2.5 series.

We also want to extend our sincere gratitude to all users who have experienced Second Me. We recognize that there is significant room for optimization throughout the entire pipeline, and we are fully committed to iterative improvements to ensure everyone can enjoy the best possible experience locally.

Second Me is open source software licensed under the Apache License 2.0. See the LICENSE file for more details.