Overview
Second-Me is a project focused on training a personal AI self to amplify individual capabilities and provide persistent assistant services across digital contexts. It integrates personal knowledge, preferences, and interaction history into trainable datasets to build personalized AI assistants.
Key Features
- Personalization: Train or fine-tune models based on user-specific data.
- Multimodal support: Incorporates text, conversational history, and behavioral signals for more aligned agents.
- Self-hosting options: Support for private deployment to protect privacy and data ownership.
Use Cases
- Personal assistant: Support for reminders, writing assistance, and information retrieval in daily workflows.
- Capability amplification: Automate repetitive tasks and provide decision-support to increase productivity.
- Research & experimentation: Explore techniques for personalized model training and behavior modeling.
Technical Details
- Stack: Python-centric toolchain with training/finetuning pipelines and data management.
- Extensibility: Modular data ingestion and training pipelines to add new data sources easily.
- License: Apache-2.0 license suitable for community and enterprise use.