memor
Memor is a Python package that implements reproducible structured memory for large language models and autonomous agents. It enables consistent management of conversational history, context, and structured data across LLM interactions. Designed for developers building reliable AI agents, it is fully open source under the MIT license.
Overview
3 featuresIn the Memory & skills space, memor takes a focused approach. It focuses on managing and persisting structured conversational history for LLMs in a reproducible way. It is built as an open-source project for developers. The project is open source (MIT). memor is available on the command line and API.
Behind memor is OpenSciLab, and it first shipped in 2024. Development happens publicly on GitHub with 67 stars and 27 commits in the last 90 days. Key capabilities include Structured Memory, Reproducible History, and Conversational Management.
Summary written by a language model from the project’s public pages.
- Structured Memory
- Reproducible History
- Conversational Management
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about memor
- What is memor?
- Memor focuses on managing and persisting structured conversational history for LLMs in a reproducible way. It is catalogued under Memory & skills on PulseGate.
- Who is memor for?
- memor is an open-source project built for developers.
- Does memor have a free plan?
- Yes — memor is open source under the MIT license and free to use.
- What platforms does memor run on?
- memor runs on the command line and API.
- Is memor still maintained?
- The GitHub repository shows 27 commits in the last 90 days.
- What are alternatives to memor?
- Similar projects tracked by PulseGate include Memori Labs, memorizz, and memorius.Memori Labsmemorizzmemorius
- Who develops memor?
- memor is developed by OpenSciLab.
- How long has memor been around?
- memor first shipped in 2024.
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