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mvalentsev c4baceccb4 docs: fix stale milla-jovovich org URLs in website and plugin manifests (#787 )

Follow-up to #766 which covers version.py, pyproject.toml, README,
CHANGELOG, and CONTRIBUTING. These 11 files still had the old org
name in URLs:

- website/ (VitePress config + 6 docs pages)
- .claude-plugin/ (plugin.json repository, README marketplace command)
- .codex-plugin/ (plugin.json URLs, README links)

Author name fields are intentionally unchanged.

2026-04-14 02:44:41 +05:00

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Getting Started

Installation

Install MemPalace from PyPI:

pip install mempalace

::: danger Security Warning The domain mempalace.tech is a brand-squatting site not affiliated with this project. It is known to run ad-redirects and potential malware. The official MemPalace distribution is only available via this GitHub repository and PyPI. Never install binaries or scripts from unofficial domains. :::

Requirements

Python 3.9+
chromadb>=0.5.0 (installed automatically)
pyyaml>=6.0 (installed automatically)

No API key required for the core local workflow. After installation, the main storage and retrieval path runs locally.

From Source

git clone https://github.com/MemPalace/mempalace.git
cd mempalace
pip install -e ".[dev]"

Quick Start

Three steps: init, mine, search.

1. Initialize Your Palace

mempalace init ~/projects/myapp

This scans your project directory and:

Detects people and projects from file content
Creates rooms from your folder structure
Sets up ~/.mempalace/ config directory

2. Mine Your Data

# Mine project files (code, docs, notes)
mempalace mine ~/projects/myapp

# Mine conversation exports (Claude, ChatGPT, Slack)
mempalace mine ~/chats/ --mode convos

# Mine with auto-classification into memory types
mempalace mine ~/chats/ --mode convos --extract general

Two mining modes plus one extraction strategy:

projects — code and docs, auto-detected rooms
convos — conversation exports, chunked by exchange pair
general extraction — an --extract general option for conversation mining that classifies content into decisions, preferences, milestones, problems, and emotional context

3. Search

mempalace search "why did we switch to GraphQL"

That gives you a working local memory index.

What Happens Next

After the one-time setup, you don't run MemPalace commands manually. Your AI uses it for you through MCP integration or a Claude Code plugin.

Ask your AI anything:

"What did we decide about auth last month?"

It calls mempalace_search automatically, gets verbatim results, and answers you. You never type mempalace search again.

Next Steps

Mining Your Data — deep dive into mining modes
MCP Integration — connect to Claude, ChatGPT, Cursor, Gemini
The Palace — understand wings, rooms, halls, and tunnels

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