openclone

Manage AI persona clones locally with creation, activation, and conversation commands.

127|27|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/team-attention/openclone --skill openclone
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclone
Source: https://github.com/team-attention/openclone/tree/main
Command: npx skills add https://github.com/team-attention/openclone --skill openclone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, curl, pandoc, yt-dlp, python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Openclone provides a self-contained interface to create, activate, and converse with AI persona clones on your local machine, enabling richer multi-perspective dialogue without servers or SaaS.

Core Features & Use Cases

  • Built-in and user-owned clones with a shadowing model for knowledge
  • Group rooms and category panels to compare perspectives across clones
  • Lazy knowledge ingestion and fork-on-write to keep data organized and up-to-date

Quick Start

Openclone opens the home panel and lets you activate clones or join a room with a single slash command.

Frequently Asked Questions about openclone

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage multiple AI persona clones locally without a server?

Managing AI persona clones locally involves centralizing creation, activation, and conversation under a single command. This self-contained interface enables richer multi-perspective dialogue directly on your machine without requiring external servers or SaaS dependencies.

Can I compare perspectives across different AI clones in a group room?

Yes, you can compare perspectives across different AI clones using group rooms and category panels. These features allow you to activate multiple built-in or user-owned clones simultaneously and observe their distinct conversational responses.

How does lazy knowledge ingestion work for AI persona clones?

Lazy knowledge ingestion loads optional resources such as scripts, references, and assets strictly on demand. Combined with a fork-on-write data model, this keeps clone perspectives current and local data organized without pre-loading heavy dependencies.

Do I need git and curl to run local AI clone management commands?

Yes, git, curl, pandoc, yt-dlp, and python3 are required dependencies. These tools support the underlying operations for local clone management, including data handling, content downloading, and format conversion required by the self-contained interface.

What is the best way to keep user-owned AI clones up-to-date with new knowledge?

The best way to keep user-owned AI clones up-to-date is by leveraging the shadowing model for knowledge. This approach uses fork-on-write and lazy ingestion to ensure clones ingest new information on demand, keeping perspectives current without manual overrides.