RichmondAlake/memorizz
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
This project helps AI application developers build intelligent agents that remember information across interactions and use various tools. It takes raw data and user instructions as input, processing them through different memory systems and external databases. The output is a more knowledgeable and capable AI agent that can handle complex tasks and maintain context over time. This is for developers creating sophisticated AI assistants, research agents, or automated workflows.
692 stars.
Use this if you are developing AI applications and need your agents to have persistent memory, access external tools like internet search or code execution, and manage complex multi-agent interactions.
Not ideal if you are a non-developer or if you require a production-ready, security-hardened solution for critical workloads, as this is currently experimental.
Stars
692
Forks
76
Language
Python
License
—
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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