As part of our research efforts in continual learning, we are open-sourcing Charlie Mnemonic, the first personal assistant (LLM agent) equipped with Long-Term Memory (LTM).
At first glance, Charlie might resemble existing LLM agents like ChatGPT, Claude, and Gemini. However, its distinctive feature is the implementation of LTM, enabling it to learn from every interaction. This includes storing and integrating user messages, assistant responses, and environmental feedback into LTM for future retrieval when relevant to the task at hand.
Charlie Mnemonic employs a combination of Long-Term Memory (LTM), Short-Term Memory (STM), and episodic memory to deliver context-aware responses. This ability to remember interactions over time significantly improves the coherence and personalization of conversations.
Read more on our blog
- User authentication and session management.
- Continual learning through user interactions.
- Ability to generate and process audio messages.
- User data management including import/export of data. (WIP)
- Extensible with additional modules (addons).
- WebSocket support for real-time communication.
- How to install and run Charlie Mnemonic on Windows
- How to install, develop and run Charlie Mnemonic using Docker
- How to install, develop and run Charlie Mnemonic manually
- Contributing
- License
- API Endpoints
- Persistence
- Security
- Licenses of used libraries
- Charlie Mnemonic on docker hub