Data & Research · PyPI

mem-llm

Privacy-first, memory-enabled AI assistant with workflow engine, knowledge graph, multi-agent systems, multi-backend LLM support (Ollama, LM Studio), vector search, and analytics - 100% local and production-ready

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Details

Author
Cihat Emre Karatas
GitHub profile
@emredeveloper
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/emredeveloper/Mem-LLM
Framework
ollama
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@emredeveloper

Overview

Privacy-first, memory-enabled AI assistant with workflow engine, knowledge graph, multi-agent systems, multi-backend LLM support (Ollama, LM Studio), vector search, and analytics - 100% local and production-ready

Quick start

pip

pip install mem-llm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mem-llm can do

agentllmchatembeddingfunction-calling
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Chat — Holds free-form conversations with users.
  • Embedding — Computes vector embeddings for semantic search.
  • Function Calling — function-calling task automation.

Frequently asked questions

What is mem-llm?
Privacy-first, memory-enabled AI assistant with workflow engine, knowledge graph, multi-agent systems, multi-backend LLM support (Ollama, LM Studio), vector search, and analytics - 100% local and production-ready
How do I install mem-llm?
Use pip: `pip install mem-llm`. Full setup details on the source page linked above.
Is mem-llm open source?
mem-llm is published on PyPI.
What are alternatives to mem-llm?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for mem-llm is sourced from PyPI, published by Cihat Emre Karatas.

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