weevolve

Automate AI agent learning and memory expansion across sessions.

9|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/aro-brez/weevolve --skill weevolve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: weevolve
Source: https://github.com/aro-brez/weevolve/tree/main
Command: npx skills add https://github.com/aro-brez/weevolve --skill weevolve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates learning and memory expansion for AI agents.

Core Features & Use Cases

  • Persistent memory and MMORPG-style progression for agents
  • Genesis knowledge export/import to bootstrap cross-agent learning
  • 8 Owls SEED-based multi-perspective analysis for complex tasks
  • Cross-platform integration with Claude Code, OpenClaw, Cursor, Codex

Quick Start

Install Weevolve via pip and start learning from a URL or text.

Frequently Asked Questions about weevolve

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

FAQPage Schema
How do I build persistent memory for AI agents across sessions?

You can build persistent memory for AI agents by processing URLs, text, and files into a local knowledge base. Weevolve stores learned content as atoms locally, ensuring your agent retains knowledge and progresses across multiple sessions.

What is the SEED eight-phase workflow for agent learning?

The SEED eight-phase workflow is a multi-perspective analysis process for complex tasks, based on the 8 Owls framework. It structures how an agent ingests and evaluates information to systematically expand its knowledge base.

Can I share a knowledge base between different AI agents?

Yes, you can share a knowledge base between agents using genesis knowledge exports and imports. This feature allows you to bootstrap cross-agent learning by transferring the accumulated memory to another environment.

Does persistent agent memory work with Claude Code and Cursor?

Persistent agent memory integrates cross-platform with Claude Code, OpenClaw, Cursor, and Codex. This allows your AI agent to maintain its local knowledge base and progression across these supported development environments.

How do I automate learning and memory expansion from a URL?

You can automate learning from a URL by installing the engine via pip and providing the link as input. The system processes the web content to extract atoms, building your persistent knowledge base automatically.

What is MMORPG-style progression for AI agents?

MMORPG-style progression is a gamified tracking system for agent learning and memory expansion. It measures the growth of the persistent knowledge base as agents process content, providing a structured progression model across sessions.