memor 0.3

Memor: A Python Library for Managing and Transferring Conversational Memory Across LLMs

Memor: A Python Library for Managing and Transferring Conversational Memory Across LLMs

---

Overview

Memor is a library designed to help users manage the memory of their interactions with Large Language Models (LLMs). It enables users to seamlessly access and utilize the history of their conversations when prompting LLMs. That would create a more personalized and context-aware experience. Memor stands out by allowing users to transfer conversational history across different LLMs, eliminating cold starts where models don't have information about user and their preferences. Users can select specific parts of past interactions with one LLM and share them with another. By bridging the gap between isolated LLM instances, Memor revolutionizes the way users interact with AI by making transitions between models smoother.

PyPI Counter
Github Stars

Branch	main	dev
CI

Code Quality

Installation

PyPI

• Check Python Packaging User Guide
• Run pip install memor==0.3

Source code

• Download Version 0.3 or Latest Source
• Run pip install .

Usage

Define your prompt and the response(s) to that; Memor will wrap it into a object with a templated representation. You can create a session by combining multiple prompts and responses, gradually building it up:

>>> from memor import Session, Prompt, Response, Role
>>> from memor import PresetPromptTemplate, RenderFormat
>>> response = Response(message="I am fine.", role=Role.ASSISTANT, temperature=0.9, score=0.9)
>>> prompt = Prompt(message="Hello, how are you?",
                    responses=[response],
                    role=Role.USER,
                    template=PresetPromptTemplate.INSTRUCTION1.PROMPT_RESPONSE_STANDARD)
>>> system_prompt = Prompt(message="You are a friendly and informative AI assistant designed to answer questions on a wide range of topics.",
                    role=Role.SYSTEM)
>>> session = Session(messages=[system_prompt, prompt])
>>> session.render(RenderFormat.OPENAI)

The rendered output will be a list of messages formatted for compatibility with the OpenAI API.

[{"content": "You are a friendly and informative AI assistant designed to answer questions on a wide range of topics.", "role": "system"},
 {"content": "I'm providing you with a history of a previous conversation. Please consider this context when responding to my new question.\n"
             "Prompt: Hello, how are you?\n"
             "Response: I am fine.",
  "role": "user"}]

Issues & bug reports

Just fill an issue and describe it. We'll check it ASAP! or send an email to [e-mail].

• Please complete the issue template

You can also join our discord server

References

Show your support

Star this repo

Give a ⭐️ if this project helped you!

Donate to our project

If you do like our project and we hope that you do, can you please support us? Our project is not and is never going to be working for profit. We need the money just so we can continue doing what we do ;-) .

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

Unreleased

0.3 - 2025-03-08

Added

• Session class __len__ method
• Session class __iter__ method
• Session class __add__ and __radd__ methods

Changed

• tokens parameter added to Prompt class
• tokens parameter added to Response class
• tokens parameter added to preset templates
• Prompt class modified
• Response class modified
• PromptTemplate class modified

0.2 - 2025-03-01

Added

• Session class

Changed

• Prompt class modified
• Response class modified
• PromptTemplate class modified
• README.md updated
• Test system modified

0.1 - 2025-02-12

Added

• Prompt class
• Response class
• PromptTemplate class
• PresetPromptTemplate class