humemai/humemai-research
Advancement at the intersection of cognitive science, temporal knowledge graphs, database systems, and AI.
This research explores how AI systems can develop human-like memory, combining specific experiences with general knowledge. It takes diverse inputs like text, tables, and user interactions to build structured memory graphs, and it outputs an AI system that can store, recall, and reason based on these memories. This is for AI researchers and cognitive scientists interested in advanced memory architectures for artificial intelligence.
Available on PyPI.
Use this if you are a researcher focused on creating AI systems with sophisticated, human-like memory capabilities for reasoning and interaction.
Not ideal if you are looking for a ready-to-use application or a straightforward solution for general data storage.
Stars
12
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 08, 2025
Commits (30d)
0
Dependencies
7
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