AgentLove is a comprehensive configuration wizard designed to help users create, migrate, and evolve AI agents through a structured, multi-step dialogue process.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentlove
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agentlove using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AgentLove?
AgentLove serves as an expert deployment guide for the Openclaw Skills ecosystem, streamlining the often complex process of setting up a new AI agent. It transforms technical configuration into a conversational experience, ensuring that every layer—from basic memory functions to advanced platform integrations—is addressed systematically.
Beyond simple setup, the skill features a unique evolutionary system that allows for genetic-algorithm-based agent progression and robust backup migration. With a library of 297 personality presets and support for multiple communication platforms like Lark, Discord, and Telegram, it acts as the bridge between raw AI models and highly specialized, character-driven digital assistants.
AgentLove Use Cases
- Deploying a brand-new AI agent with specific behavioral rules and platform bindings.
- Migrating existing agent data and configurations between environments using one of three migration schemes.
- Designing high-fidelity agent personalities using MBTI, Enneagram, or classic fictional archetypes.
- Evolving agents through a 13-step genetic inheritance workflow to create specialized sub-agents.
How AgentLove Works
- The user triggers the skill using commands like /agentlove or by mentioning agent creation in natural language.
- The guide initiates an 8-step configuration lifecycle, starting with core functional toggles like streaming output and memory enhancement.
- It gathers channel-specific requirements for platforms like Discord or Telegram and recommends essential official Openclaw Skills.
- Users define the agent identity through a multi-dimensional selection process involving soul (personality), identity (role), and collaboration rules.
- Upon completion, the skill generates a comprehensive JSON configuration summary and provides manual instructions for finalizing the deployment via the official console.
AgentLove Setup
To install AgentLove, use the standard Openclaw Skills package manager. Ensure you have the base environment ready for personality reference files.
# Install the skill via clawhub
clawhub install agentlove
# Trigger the setup wizard
/agentlove
AgentLove Data Schema & Taxonomy
AgentLove organizes agent definitions into a modular taxonomy stored within the references directory. This ensures high portability and easy auditing of agent traits.
| File | Data Type | Description |
|---|---|---|
| references/soul.md | Personality Matrix | Contains 16 MBTI-based character foundations |
| references/identity.md | Role Definitions | Defines 6 primary functional identities (e.g., Analyst, Creator) |
| references/agents.md | Operational Rules | Specifies 5 types of workflow logic such as Autonomous or Cautious |
| references/presets.md | Archetype Library | A collection of 297 pre-configured characters and professional roles |
AgentLove Advanced Features
- Genetic Inheritance Algorithm: A 13-step process for 'breeding' agent traits into new sub-agents.
- Multi-Channel Enhancement: Platform-specific logic for Discord buttons, Telegram approval flows, and Lark quota optimization.
- Dynamic Skill Recommendation: Automatically suggests complementary Openclaw Skills based on the selected agent personality and role.
- Memory Augmentation: Support for advanced persistence layers including daily archiving and enhanced contextual recall.
SKILL.md
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