gschaidergabriel/lcme
Neural-enhanced conversational memory for AI agents — 10 micro-networks, tri-hybrid storage, bio-inspired retrieval
This project helps anyone running a small AI agent locally on their computer to give it long-term memory. You input pieces of information, and the agent can recall relevant details from its memory, even with limited computing power. It's designed for users who want their AI to remember past interactions without needing to run extra, resource-heavy AI models.
Available on PyPI.
Use this if you are operating a local AI assistant or agent on consumer-grade hardware (like a laptop or desktop with 8-16 GB RAM) and need it to have a persistent, evolving memory.
Not ideal if you are running AI agents in a cloud environment with extensive computational resources and already have a robust, external memory system in place.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Monthly downloads
160
Commits (30d)
0
Dependencies
3
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