mem-llm 2.4.5

Mem-LLM is a Python framework for building privacy-first, memory-enabled AI assistants that run 100% locally.

Mem-LLM

Mem-LLM is a local-first Python library for memory-enabled AI assistants with multi-backend LLM support.

Highlights

• Persistent user memory (JSON or SQLite)
• Tool calling and built-in tools
• Multi-backend support (Ollama, LM Studio)
• Knowledge base and conversation analytics
• Streaming chat responses
• REST API and Web UI

Default Models

• Ollama: granite4:3b
• LM Studio: google/gemma-3-12b

Install

pip install mem-llm

Optional extras:

pip install mem-llm[api]
pip install mem-llm[databases]

Quick Start

from mem_llm import MemAgent

agent = MemAgent(backend="ollama", model="granite4:3b")
agent.set_user("alice")
print(agent.chat("My name is Alice."))
print(agent.chat("What is my name?"))

LM Studio:

agent = MemAgent(backend="lmstudio", model="google/gemma-3-12b")

Links

• PyPI: https://pypi.org/project/mem-llm/
• GitHub: https://github.com/emredeveloper/Mem-LLM
• Issues: https://github.com/emredeveloper/Mem-LLM/issues

License

MIT