"A public release of products from my AI Agent Ecosystem Creator."
This repository serves as a teaser and a public release of agents and tools generated by an advanced AI Agent Ecosystem Creator. This system allows for the creation of entire agent ecosystems, tasks, and components from a single prompt—a process that has successfully crafted complex, multi-agent frameworks in one go.
The code within represents a snapshot of these capabilities, showcasing how systematic AI generation can build robust, functional agent ecosystems including all of their possible duties.
VIDEO HERE
- SHOWCASES HOW THESE WERE MADE FROM 1 CLAUDE CODE PROMPT.
This repository contains the following agent ecosystems:
A comprehensive system for handling patent-related tasks.
- Key Features: Automated patent generation, compliance reporting, and extensive legal templates.
- Structure: Includes specialized agents, command utilities, and generated document handling.
An advanced iteration of a research assistant.
- Key Features: Sequential analysis, academic search capabilities, and knowledge management.
- Structure: Features a modular design with tools, hooks, lists, and vector storage integration.
A focused academic research tool.
- Key Features: Academic paper ecosystem interaction and sequential analysis.
- Structure: Streamlined for targeted research tasks.
Please note that claude-code-meta-god is currently a work in progress and is maintained by a one-person team.
The level of complexity required to make this system modular, easily scalable, and capable of being replicated without building it from scratch (i.e., installing it on another system) has been significant. As a result, the codebase is not yet fully complete or "plug-and-play."
- Portability: Setting up the environment on a new system may require manual configuration.
- Features: Some features, such as
mcp-servers,tools,vector storesare currently implemented to a degree,but may not function as expected
This code is provided as a demonstration of the "Claude Code Meta God" creation system's output. A sophisicated, context aware.
While functional (to a degree, not including prompts)in its original context, it is part of a larger, evolving ecosystem.
I would of love to dropped this project mid september 2025, but unfortunately I am a uni student :(