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GitHub · MemPalace/mempalace↑ +227 today

Add memory to AI models

MemPalace offers an open source memory system for artificial intelligence models. The system includes optimized tools to measure and improve the contextual memory performance of large language models.

Updates

  • October 14, 2026: Stars 59,089 → 59,560, latest release v3.11.0 (October 14, 2026).
  • September 16, 2026: Stars 58,752 → 59,089, latest release v3.10.0 (September 16, 2026).
  • August 31, 2026: Stars 58,584 → 58,752, latest release v3.9.0 (August 31, 2026).
  • August 24, 2026: Stars 58,390 → 58,584, latest release v3.8.0 (August 23, 2026).

What you get

  • It offers semantic search by keeping the conversation history as it is.
  • It creates an organized memory structure by categorizing people, projects and topics.
  • With its local operating principle, it allows data to be processed without leaving your machine.

Installation

installation with uv
uv tool install mempalace
mempalace init ~/projects/myapp
Installation with virtual environment
python -m venv .venv && source .venv/bin/activate
pip install mempalace

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

I want to set up my local AI memory system using the MemPalace tool. Can you explain to me the basic steps I need to follow to create a structure where I can scan my project files and conversation history and perform semantic searches, and the process from installation to the first search?

Repository: https://github.com/MemPalace/mempalace. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forFor users looking for a local and privacy-focused memory system for their AI models.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-06: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.